\r\n\t[2] J. V. Moloney, A. C. Newell. Nonlinear Optics. Westview Press, Oxford, 2004. \r\n\t[3] M. Kauranen, A. V. Zayats. Nonlinear Plasmonics. Nature Photonics, vol. 6, 2012, pp. 737-748. \r\n\t[4] P. Dombi, Z. Pápa, J. Vogelsang et al. Strong-field nano-optics. Reviews of Modern Physics, vol. 92, 2020, pp. 025003-1 – 025003-66. \r\n\t[5] N. C. Panoiu, W. E. I. Sha, D.Y. Lei, G.-C. Li. Nonlinear optics in plasmonic nanostructures. Journal of Optics, 20, 2018, pp. 1-36. \r\n\t[6] A. Krasnok, A. Alu. Active nanophotonics. Proceedings of IEEE, vol. 108, 2020, pp. 628-654. \r\n\t[7] M. Lapine, I.V. Shadrivov, Yu. S. Kivshar. Colloquium: Nonlinear metamaterials. Reviews of Modern Physics, vol. 86, 2014, pp. 1093-1123. \r\n\t[8] Iam Choon Khoo. Nonlinear optics, active plasmonics and metamaterials with liquid crystals. Progress in Quantum Electronics, vol. 38, 2014, pp. 77- 117. \r\n\t
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Axinte D.",authors:[{id:"23402",title:"Dr.",name:"Srinivas",middleName:null,surname:"Devadula",fullName:"Srinivas Devadula",slug:"srinivas-devadula"},{id:"23403",title:"Dr.",name:"Dragos",middleName:null,surname:"Axinte",fullName:"Dragos Axinte",slug:"dragos-axinte"}]},{id:"15105",title:"Ductile Mode Micro Laser Assisted Machining of Silicon Carbide",slug:"ductile-mode-micro-laser-assisted-machining-of-silicon-carbide",totalDownloads:3499,totalCrossrefCites:2,signatures:"Deepak Ravindra, Saurabh Virkar and John Patten",authors:[{id:"21605",title:"Dr.",name:"Deepak",middleName:null,surname:"Ravindra",fullName:"Deepak Ravindra",slug:"deepak-ravindra"},{id:"21773",title:"Dr.",name:"John",middleName:null,surname:"Patten",fullName:"John Patten",slug:"john-patten"},{id:"21774",title:"Mr.",name:"Saurabh",middleName:null,surname:"Virkar",fullName:"Saurabh Virkar",slug:"saurabh-virkar"},{id:"22753",title:"Mr",name:"Bogac",middleName:null,surname:"Poyraz",fullName:"Bogac Poyraz",slug:"bogac-poyraz"}]}]},relatedBooks:[{type:"book",id:"166",title:"Electromagnetic Waves",subtitle:null,isOpenForSubmission:!1,hash:"6561a39a2e8aaffc6cde23ecd65cdfde",slug:"electromagnetic-waves",bookSignature:"Vitaliy Zhurbenko",coverURL:"https://cdn.intechopen.com/books/images_new/166.jpg",editedByType:"Edited by",editors:[{id:"3721",title:"Prof.",name:"Vitaliy",surname:"Zhurbenko",slug:"vitaliy-zhurbenko",fullName:"Vitaliy Zhurbenko"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"},chapters:[{id:"16073",title:"The Fundamental Physics of Electromagnetic Waves",slug:"the-fundamental-physics-of-electromagnetic-waves",signatures:"Juliana H. 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1. Introduction
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Geochemical data are typically reported as compositions, in the form of such proportions as weight percents, parts per million, etc., subject to a constant sum (e.g., 100%, 1,000,000 ppm). As an important source of geo-information, geochemical data recording multiple element concentration have been successfully processed by advanced multivariate analytical methods (e.g., factor analysis, cluster analysis, etc.) to identify geological bodies and delineate mineralization-favored space [1, 2, 3, 4, 5, 6]. The results of these geochemical data were mainly expressed by vector format, including the colorful geochemical map.
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The raster image application in geology was further improved with the development of remote sensing technology. With respect to the application of remote sensing in geology, several books on the geological structural interpretation were published [7, 8]. As the multispectral and hyperspectral imaging rapidly grows, most of the researches paid much attention to the extraction of altered mineral information which were often related to different types of ore deposits [9, 10, 11, 12, 13, 14, 15, 16]. These ore deposits include Carlin-type deposit, Archean massive sulfide deposit, skarn-type deposit, and volcanic massive sulfide deposit. Some studies also focused on lithology mapping with hyperspectral tools [17, 18, 19, 20, 21, 22].
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Only little geochemical data was rasterized. It is partly because the rastering process is more complex, and also the formed raster image could not produce good visual effect due to the low sample density. It is worth mentioning that the geochemical data with vector format can provide relatively simple results; thus the rasterized image appears superfluous. A small amount of research focused on geochemical data rasterization. A technique of metal content on maps was developed [23]. Utilizing ALKEMIA software, Gustavsson et al. [24] designed an interpolation and smoothing method to generate maps including dot maps, color maps, and shaded relief maps.
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In this study, geochemical data of the northern Daxinganling metallogenic belt were taken as the experiment area.
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A geochemical survey with the scale of 1:200,000 was conducted in a large area of the Daxinganling region [6]. In follow-up to that research, the objectives of the present study are to evaluate the rasterization method of geochemical data obtained from the northern Daxinganling region, use rasterized geochemical data to assist in geological mapping and prospecting target selection, and propose an application of rasterized geochemical data.
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2. Experimental area and method
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2.1 Experimental area
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The northern Daxinganling metallogenic belt was chosen as an experimental area. The Daxinganling metallogenic belt generally refers to an area including the main ridge of the Daxinganling Mountains and both of its east and west slopes.
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2.2 Geological background
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The Daxinganling region generally refers to an area that includes the main ridge of the Daxinganling Mountains and the eastern and western slopes of the ridge (Figure 1). The region is located between the Siberian and North China plates [26, 27]. Several of its tectonic units had been divided (Figure 1). In this region, the Proterozoic strata are comprised of epicontinental detritus from volcanic eruptions and carbonate sedimentary formations. The strata constitute the Precambrian crystalline basement [26]. The cap rock is composed of the Paleozoic group, including the Ordovician, Silurian, Devonian, and Carboniferous series, which are sets of epicontinental clastic rock, specifically carbonate rocks interlayered with rock from volcanic eruptions and sedimentary formations. The Mesozoic, Jurassic, and Cretaceous series are primarily comprised of rock from nonmarine volcanic eruptions and sedimentary formations. An important area of concentrated mineralization exists in the western region of the Hulunhu-Eerguna fault (fault ① in Figure 1). In this area, many deposits exist [28]. The mineralization is mainly subvolcanic-hydrothermal-type deposit and porphyry deposit. The porphyry deposit is predominantly comprised of substantial deposits of Wunugetushan porphyry copper, as well as Jiawula and Chaganbulagen lead, zinc, and silver [25].
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Figure 1.
Geotectonic units of northern Daxinganling metallogenic belt (after [25]). 1, main fault and borderline of the third-order geotectonic unit; 2, the number of third-order geotectonic unit; 3, the number of fourth-order geotectonic unit; 4, Proterozoic lift; 5, early Paleozoic lift; 6, late Paleozoic lift; 7, magmatic area mainly activated in Hercynian period; 8, lift of Mesozoic volcanic and intrusive rocks; 9, basin of Mesozoic volcanic rocks; 10, Cretaceous fault-depression basin; 11, town. The name of main fault: ①, Hulunhu-Eerguna fault; ②, De’erbugan fault; ③, Elunchun-Toudaoqiao fault; ④, Daxinganling main ridge fault; ⑤, Nenjiang fault; ⑥, Arongqi fault; ⑦, Muhaer fault; ⑧, Haligou fault.
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2.3 Geochemical data
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The northern Daxinganling metallogenic belt has two major geographic landscapes, i.e., forest swamp area and semidesert area. The sampling media differed in the two landscapes [29]. The northern Daxinganling metallogenic belt has two major geographic landscapes, i.e., forest swamp area and semidesert area. The sampling media differed in the two landscapes [29]. The 1:200,000 geochemical survey was completed in the Manzhouli area, which covers a total of 13 geological sheets (e.g., Toudaolvdian (M-50-(24)), Manzhoulishi (M-50-(22)), etc.). The geochemical survey was based on stream sediment [30]. The average sampling density was one site per 4 km2. Sampled material was passed through a 40-mesh sieve before being sent for analysis in the laboratory [31]. The contents of a total of 39 elements, of which seven were major elements, were analyzed, specifically Al, Ca, Fe, K, Mg, Na, Si, and the 32 trace elements (Ag, As, Au, B, Be, Ba, Bi, Cd, Co, Cr, Cu, F, Hg, La, Li, Mn, Mo, Nb, Ni, P, Pb, Sb, Sn, Sr, Th, Ti, U, V, W, Y, Zn, and Zr) [29]. Because 39 kinds of elements are painstakingly picked out, many elements are quite representative. From the periodic table of the elements shown in Figure 2, it can be seen that every family has at least one representative element except family 16 and 18.
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Figure 2.
Position of the elements measured by 1:2,000,000 regional geochemical survey in the periodic table, with shaded area as measured elements.
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2.4 Geochemical data rasterizing method
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The remote sensing software can be used for the point rastering; most of the data processing and interpretation can be accomplished. In this study, the whole process was completed through using the ENVI software (V. 4.4, Research System Inc., Boulder, CO, USA).
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2.4.1 Conversion of data format
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The geochemical data obtained from the Daxinganling Mountains were stored in Microsoft XLS format, and 39 elements (oxide) data was included. The arrangement of single elements’ data is based on the seriation of the first letters and then followed by oxide. The whole arrangement order is as follows: Ag, As, Au, B, Ba, Be, Bi, Cd, Co, Cr, Cu, F, Hg, La, Li, Mn, Mo, Nb, Ni, P, Pb, Sb, Sn, Sr, Th, Ti, U, V, W, Y, Zn, Zr, Al2O3, CaO, Fe2O3, K2O, MgO, Na2O, and SiO2. The oxides content were expressed in percentage; the unit of Au and Ag value is ppb. The units of other content values all were ppm. The geographic position was expressed in the format of geographic coordinates.
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The file needs to be checked in the sorting way, to inspect whether unqualified data exists. The unqualified data site must be eliminated to ensure quality of the data. Because ENVI cannot directly recognize the file with Microsoft XLS format, the XLS files need to be transformed into TXT format. The latitude and longitude of coordinates were assigned at the first two columns respectively; the other elements were listed afterwards. In Microsoft Excel, the file was saved as TXT format. Additionally, it needs to be noted that if the data content of the geochemical exploration sampling sites is too large even exceeding the permission of Microsoft Excel software, then respectively they need to be else saved in other software, e.g., software Surfer 8 (Golden Software Inc., Golden, USA), to obtain the format that can be recognized by ENVI software. The latter case is suitable for the aeromagnetic data, in which data volume is enormous and usually exceeds the row range of Microsoft Excel software.
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2.4.2 Rasterizing geochemical data
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The geochemical data are rasterized by pull-down menu “Rasterize point data” in the ENVI software. The output projection was determined, and output X/Y size was selected as 1000 m, meaning the spatial resolution of the formed rasterized images is 1000 m. Linear interpolation (quintic polynomial) was chosen. Smooth quintic polynomial interpolation is performed by giving binary interpolation of Z values and smooth surface fitting at points that are irregularly distributed on the X-Y plane. The interpolation function is a fifth-degree polynomial in X and Y in a triangular cell and each polynomial is determined by the given values of Z and estimated values of partial derivatives at the vertexes of the triangle [32]. After the above steps, the image of a single element can be formed. And in the same way, the images of 39 elements can be created.
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The sampling sites were irregular and the rasterized image covered a whole area in a rectangle in the process of rasterizing geochemical data (Figure 3). These inappropriate image contents can be eliminated by using the method of masking. To mask the incorrect area, the buffer zones of sampling site were used.
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Figure 3.
Original Ag element grid map of Manzhouli area cut from northern Daxinganling metallogenic belt. Pixel size is 1000 m.
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The formation of the buffer zone is that the geochemical sampling sites were overlaid by the ROI (region of interest) sites. The overlaid 5231 sampling sites were shown in Figure 4. By contrast, the maximum distance assigned to 2 pixels is much better to generate buffer zone. Buffer zone image was used to create an image mask. Finally the incorrect area was masked to generate the geochemical content image (Figure 5).
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Figure 4.
Locations of sampling points in Manzhouli area. Sampling points were expressed in ROI and superposed on image maps as pixels. Pixel size is 1000 m.
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Figure 5.
Rasterized image of Ag element after a buffer zone mask.
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3. Results
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3.1 Building geochemical atlas
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After 39 kinds of geochemical elements (or oxide) were generated, they would be put together to form an image atlas. The method is simple, namely, using “Laystacking” command, respectively, each image was successively overlayered together.
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From the view of spectroscopy, the geochemical elements need to be classified. In the periodic table of the elements, elements of the same family possess similar chemical properties, and they have similar enrichment characteristics in the earth. In accordance with the periodic table, the element family was arranged from left to right. In each family, the order was arranged from top to bottom. In this way, the order of the arranged geochemical elements was as follows: Li, Na2O, K2O, Be, MgO, CaO, Sr, Ba, Y, La, Th, U, Ti, Zr, V, Nb, Cr, Mo, W, Mn, Fe2O3, Co, Ni, Cu, Ag, Au, Zn, Cd, Hg, B, Al2O3, SiO2, Sn, Pb, P, As, Sb, Bi, and F.
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3.2 Geochemical spectrum
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In ENVI software, it is very easy to form the spectra which are constituted of the results of different geochemical elements. This paper defined these spectra as geochemical spectra, which is somewhat similar to the geochemical anomaly and the geochemical chart mentioned in geochemistry, all of which imply the content of geochemical element. All the data in the element content image are with original value, which is easy for data comparisons. If only considering the characteristic of the spectrum, methods of normalization may be adopted, namely, histogram stretching was conducted on each element content image to form the numerical range from 0 to 1, thus creating a clearer and more obvious contrast geochemical spectrum. Figure 6 shows a comparison of the spectrum of main ore deposits in the Manzhouli region. The ore deposits shown in Figure 6 are Sanhe lead-zinc deposit, Xiahulin lead-zinc deposit, Waixinhe molybdenum deposit, Babayi copper deposit, Wunugetushan copper-molybdenum deposit, Jiawula lead-zinc deposit, Chaganbulagen lead-zinc-silver deposit, and Erentaolegai silver deposit, respectively.
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Figure 6.
Geochemical spectrum of typical deposits in Manzhouli region after histogram stretching.
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3.3 Image display and image enhancement
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The rasterized geochemical image (Figure 7) may be carried out by image enhancement. For example, if expanding or changing the value field range of gray scale, or changing the distributional pattern of gray value, the sharpness of image may be enhanced. Some methods, e.g., direct gray transformation, histogram equalization, etc. may be adopted. And in order to make the edge of the image bright and clear, the image filtering method could be used. The image formed from geochemical data can constitute the ternary RGB image, e.g., the formed K2O-Na2O-SiO2 image (Figure 8); it is known that K-Na-Si ingredient can be used to judge the composition of rocks.
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Figure 7.
Rasterized grayscale map of Na2O element content in the middle segment of Daxinganling metallogenic belt.
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Figure 8.
K2O, Na2O, and SiO2 ternary color image synthesis in the middle segment of Daxinganling metallogenic belt.
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3.4 Image statistics
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Geochemical image can carry out a numerical statistics, which are somewhat different from the statistics of data of geochemical sampling sites. It is statistics of all the pixels within the image. Basic statistics of a geochemical image involves the mean value, median, mode, range, contrast, etc.
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Histogram is one of the important statistics of a geochemical image. Histogram refers to a discrete graph of probability density function of all gray values in the image, or it may be seen as a graphic expression of basic statistics of gray image. Figure 9 is based on histogram and the chiefly related statistics. Under ENVI software, the calculation results of cumulative frequency can be obtained, and classification based on histogram analysis will be introduced in the next step.
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Figure 9.
Numerical statistical histogram of Na2O content in the middle segment of the Daxinganling metallogenic belt.
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Density slices to a gray geochemical image can create element anomalies. Cumulative frequency percentage can be used to determine anomalies or anomalies grading (Figure 10).
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Figure 10.
Anomaly map of copper element formed in density slice in the middle of the Daxinganling metallogenic belt. According to histogram cumulative frequency statistics, anomalies were graded to 75% (green line), 85% (yellow line), and 95% (red line).
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3.5 Algebraic operations and logic operations of image
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Algebraic operations of image indicate that the corresponding image pixels of two (or more than two) of input images received four arithmetic operations, which in order are addition, subtraction, multiplication, and division. The algebraic operation cannot be directly fulfilled within the vector maps, while the rasterized maps can be directly performed.
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Logical operations of images are widely applied, for instance, the masking method mentioned above used logic operations to form a mask band. A specific value in a pixel could be obtained by logical operations, and then a simple classification could be generated.
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3.6 Geochemical image classification
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In the vector image, undoubtedly, the anomaly image of elements is one of the final products in geochemistry. The anomaly map of elements may give users vivid visual impression. Thus prospecting researchers can directly use the geochemical anomaly maps to explore the interested target. The results expressed in the rasterized image can also be fully used so as to employ the statistical method of density slicing. Figure 10 is a density sliced map which was created by histogram statistics of copper element, and its result is similar to the geochemical anomaly map. Their difference is that the final rasterized image was irregularly dentate if enlarging a small area.
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What is mentioned above is the simplest classification in the rasterized geochemical image, and they were based on the sole element anomaly. Most of the time, the classification using remote sensing images is divided by supervised one and unsupervised one, and their difference is that the supervised classification firstly gives category, whereas the unsupervised one is determined by the statistics characteristics of image data itself. The classification method used for remote images are suitable for the geochemical atlas. Usually employed methods include multilevel slice classifier, decision tree classifier, minimum distance classifier, maximum likelihood classifier, and the like (e.g., method of fuzzy theory, expert system method, etc.). SAM method mentioned later is one of the supervised classification methods.
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4. Application of geochemical image in geology
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The formed geochemical atlas can provide the prospecting target area just like conventional geochemical method and may also conduct multielement geochemical analysis. The geochemical image can accomplish the structural interpretation, e.g., linear structure and ring structure in geology just like what is fulfilled by the optical remote sensing. This paper does not restate these traditional methods but will mainly introduce the following three kinds of application in geology in the northern Daxinganling metallogenic belt.
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4.1 Assisting in geological mapping
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The geochemical atlas of 39 geochemical elements was generated in the northern Daxinganling metallogenic belt, including major elements and trace elements. The full use of all the elements will better assist geological mapping. Especially, in the Daxinganling Mountains, the outcrop is scarce because of the forest cover and that the field work of geological mapping encounters a great deal of difficulties. Therefore, boundaries of the geological bodies are indistinct, and the final boundaries are somehow judged by subjective experience. To employ unsupervised classification method may provide the reference for determining the boundaries of rock in the working area. As shown in Figure 11, the Chaihe area in the northern Daxinganling metallogenic belt was taken as an example; this working area belongs to stream sediment survey of the 1:200,000 Wuchagou sheet. The 39 geochemical element images are classified by K-Mean classification, and the geological interpretation map is created as the following one.
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Figure 11.
Geological sketch of Chaihe area (1:200,000).
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It can be seen that the geochemical mapping (Figure 12) may relatively clearly distinguish γ52(2) alkali feldspar granite from monzogranite. However, the boundary is different from that in the geological map (Figure 11). In the north and south, it was verified; but in the east of the map sheet, the rock which was delineated by geochemical images (Figure 12) was not presented in the geological map (Figure 11). Other Wuchagou basalt can also be easy to identify; two signs were manifested in the north, same as the geological map. Because Baoshi formation and Fujiawazi formation are volcanic, it is sometimes difficult to classify them. As a result, the interpenetration phenomenon is frequent. In the field work, it is hard to distinguish the volcanic rocks. For example, both Fujiawazi formation and Baoshi formation contain tuff; sometimes, the difference between intermediate lava and acidic lava is weak in the field. In this case, the divided geological map is worse than the geochemical classification.
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Figure 12.
Map of each unit of K-Mean classification of 39 geochemical elements in Chaihe area (legend codes are the same as Figure 12).
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4.2 Prospecting target selection
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There is plenty of research on the methods of the prospecting target selecting using data-driven and knowledge-driven modes. In the past, selecting prospecting area was primarily based on the anomaly of the major ore-forming elements. The area with high anomaly value of a single element or integrated anomalies was selected as prospecting target. Although the large area of geochemical working had been carried out, fewer researchers utilize all elements for prospecting target selecting.
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Combining the characteristics of the geochemical atlas in the northern Daxinganling metallogenic belt, the geochemical spectrum method may be adopted to exhibit the similarity with the known deposits on target locating. The most frequently used method is spectral angle mapper method (SAM) [33, 34]. SAM method utilize N-dimensions angle to match image elements and reference spectra. The geochemical spectra were regarded as vector, whose number of dimensions is the same as the number of waveband. Then using the angle algorithm for calculating the angles’ inter-element geochemical spectra, the similarity of two geochemical spectra could be determined. The geochemical spectra of locations on the known deposits are regarded as end-member spectra, and then SAM is used to compare end-member spectra with the angles of each pixel vector in N-dimensions space. The smaller angle indicates that it fits better with the geochemical spectra of the discovered deposits. This method fully utilized the information of geochemical spectra and makes every elements involved in the classification. Additionally it emphasizes the shape characteristics of the geochemical content and greatly reduces the information such as the main ore-forming elements.
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In this study, the geochemical spectral of the Wunugetushan copper deposit was taken as reference spectra, the SAM method was adopted, and the classification results have been verified by deposits of the same type (Figure 13).
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Figure 13.
Comparison map between the prospecting target and actual deposits in the Manzhouli region. The prospecting target was obtained by applying spectra angle method to some porphyry copper-molybdenum deposit; a is spectral angle map; b is the prospecting target formed by threshold segmentation of spectral angle map; and c is the corresponding location map between prospecting target and actual deposit. A is Wunugetushan deposit, B is Babayi deposit, and C is Badaguan deposit.
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4.3 The classification on mixed rocks
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Since the late 1950s, Webb and his colleagues presented to collect fine granular sedimentary from drainages which stands for the average content of the catchment basins [35]. The subsequent regional geochemistry survey mainly based on their theory and method, namely, the sample collected, may stand for the contribution of all matters in the surrounding area of this sampling position. This is the same as to the so-called mixed spectra in remote sensing. Because large areal distributional mixed pixels evidently affect the calculation and classification of the remote sensing image, many researchers put forward the method of decomposing mixed pixels. Nowadays, methods of decomposition of mixed pixels are mainly classified into two classes, one is the linear spectral decomposition, which is based on the linear additivity of brightness of pixels, and the other is the fuzzy decomposition method.
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In the process of geological mapping, the stratigraphic unit needs to be divided, and it includes various kinds of rocks. The Manitu formation on the Xiaodonggou section in the northern Daxinganling metallogenic belt served as an example. The standard strata, which were distributed between upper Baiyingaolao formation and lower Manketouebo formation, are 690.6 m thick. From bottom to top, the section involves green andesite (101.6 m), light gray andesitic-rhyolitic breccia tuff (219 m), dark gray, yellow gray andesite interlayered with debris tuff (190.3 m), and purple gray-dark andesite (179.7 m). In the fieldwork, it is difficult to observe all the rock types mentioned due to a few outcrops. As a result, the stratigraphic division can only be based on the limited artificial outcrops. Under this condition, the method of decomposing mixed pixels was used. Through decomposing the mixed pixels, the shares of various kinds of rocks can be achieved; thus it can assist stratigraphic unit classification in geological mapping.
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5. Discuss and future prospects
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In the past, regional geochemistry has made significant achievements in geology and mineral exploration. However, all of these relied on vector data, and the number of geochemical elements is limited, which narrowed the application of geochemical data. This paper only aims to supplement and modify the shortcomings of previous methods, rather than to overthrow or criticize the achievements attained by them.
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The rasterized geochemical image possesses many advantages. The geochemical image is vivid for the visual interpretation. Additionally, data can be compatible for statistical analysis. That vectorized geochemical data accomplished can be achieved by the rasterized data in most cases. Furthermore, the imaged geochemical data could be processed with hyperspectral tools, which cannot be used in vector data. The shortcoming of rasterized geochemical images mainly lies in that the raster format occupy a relative larger data storage space, and if the sampling sites is sparse, and the spatial resolution is set largely, a clear lattice shape will be displayed.
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The increased geochemical density makes this kind of method to get more in-depth application. No doubt geochemical survey with larger scale can provide more information. China recently carries out geological survey on main metallogenic belts, and their sampling density was bigger. The sampling density in the northern Daxinganling metallogenic belt was averagely 4–8 sites per km2 in the scale of 1:50,000; therefore the sampling density has been greatly increased. Followed by reducing the analysis data of geochemical elements, the usual analyzed elements now are Au, Ag, Cu, Pb, Zn, As, Sb, Hg, W, Sn, Bi, Mo, and so on; the purpose is for mineral exploration. With the increase of sampling data in unit area, the spatial resolutions of geochemical image will increase. The following job is to merge 39 geochemical elements of 1:200,000 with geochemical elements in 1:50,000 to create the multielement geochemical atlas with a relative higher resolution.
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Integration with other types of geoscience data is also imperative. The geological map can finally transform to a rasterized image. The strata, magmatism, and so forth may be assigned values through various kinds of logical operations in rasterized image. Regional geophysical survey, for instance, aeromagnetic, airborne gravity, geomagnetic, gravity, and regional electrical method, may form the corresponding rasterized image. These data combined with the geochemical data will undoubtedly increase the information content of geosciences; therefore, it will develop a broader approach for intensive geological study and the comprehensive application of geosciences data.
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6. Conclusions
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Regional geochemical data of 1:200,000 in the northern Daxinganling area were rasterized using a method that triangulates a planar set of points. Consequently, a multilayered image database containing 39 elements/oxides was formed. The images were enhanced using an image enhancement technique and algebraic operations. The images were handled as multidimensional vector data. Accordingly, hyperspectral tools could be used for the processing. The geochemical signatures of deposits were extracted from the images. Enriched and depleted elements were distinguished by comparing them with regional geochemical statistics. The geochemical signatures represented the geochemical characteristics of ore deposits. The rock types were classified using the K-Means method, which assisted in the regional geological mapping, especially in the areas of dense forest. The geochemical signature of a typical ore deposit was processed by SAM, which determined the similarity between the deposit and pixels in the region. The prospecting target area was determined according to the angle. With increased geochemical data sampling density, as well as further integration with other geophysical, geological, and remote sensing data, rasterized geochemical images can be fully used in the future.
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Acknowledgments
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This research was supported by funds from the Chinese Ministry of Science and Technology (grant no. 2016YFC0600103) and the “Comprehensive integration and service of mineral geology and its metallogenic regularity in China” project of the China Geological Survey (grant no. DD20160346). In the process of drafting this paper, Prof. Liu Suhong, Prof. Huang Miaofen of Beijing Normal University, and other experts gave me a lot of help. We have benefited from discussions of relevant contents with researcher Zhang Yujun of the Chinese Academy of Geological Sciences. We would like to acknowledge the people mentioned above for their constructive and thoughtful comments that helped us to improve the paper.
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\n',keywords:"rasterization, vector, hyperspectrum, geoscience, geochemical spectral",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/65876.pdf",chapterXML:"https://mts.intechopen.com/source/xml/65876.xml",downloadPdfUrl:"/chapter/pdf-download/65876",previewPdfUrl:"/chapter/pdf-preview/65876",totalDownloads:464,totalViews:0,totalCrossrefCites:0,dateSubmitted:"September 25th 2018",dateReviewed:"January 25th 2019",datePrePublished:"May 10th 2019",datePublished:"February 5th 2020",dateFinished:null,readingETA:"0",abstract:"Geochemical data were predominantly expressed by vector format, the research on geochemical data visualization, i.e., raster data format, was not paid proper attention. A total of 39 geochemical elements in 1:200,000 regional geochemical exploration data were rasterized to form images, and then a geochemical image database was generated. This article has carried out the study on geochemical imaging within Daxinganling metallogenic belt. The metallogenic belt had once carried out the regional geochemical survey, the sampling density was 1 site/4 km2, and 39 geochemistry elements including the microelement and trace element have been analyzed. Quintic polynomial method was used to implement the geochemical data interpolation, and the cell size of formed geochemical elemental image is 1 km. The images of the geochemical elements were processed by image enhancement methods, and then hyperspectral remote sensing data processing method was used for prospecting target selection, lithology mapping, and so on. The interpreted results have been verified in practice. All the abovementioned suggested a good development prospect for the rasterized geochemical images. Finally the author puts forward using rasterize geochemical images in combination with other geological, geophysical, and remote sensing data to make better use of the geochemical data and be more extensively applied in the geoscience.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/65876",risUrl:"/chapter/ris/65876",signatures:"Jiang Chen, Zhaoxia Mao, Yan Zhao, Chunpeng Zhang and Shan Jiang",book:{id:"7301",title:"Applied Geochemistry with Case Studies on Geological Formations, Exploration Techniques and Environmental Issues",subtitle:null,fullTitle:"Applied Geochemistry with Case Studies on Geological Formations, Exploration Techniques and Environmental Issues",slug:"applied-geochemistry-with-case-studies-on-geological-formations-exploration-techniques-and-environmental-issues",publishedDate:"February 5th 2020",bookSignature:"Luis Felipe Mazadiego, Eduardo De Miguel Garcia, Fernando Barrio-Parra and Miguel Izquierdo-Díaz",coverURL:"https://cdn.intechopen.com/books/images_new/7301.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"169369",title:"Dr.",name:"Felipe Luis",middleName:null,surname:"Mazadiego",slug:"felipe-luis-mazadiego",fullName:"Felipe Luis Mazadiego"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"277411",title:"Prof.",name:"Jiang",middleName:null,surname:"Chen",fullName:"Jiang Chen",slug:"jiang-chen",email:"chen07761@itc.nl",position:null,institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Experimental area and method",level:"1"},{id:"sec_2_2",title:"2.1 Experimental area",level:"2"},{id:"sec_3_2",title:"2.2 Geological background",level:"2"},{id:"sec_4_2",title:"2.3 Geochemical data",level:"2"},{id:"sec_5_2",title:"2.4 Geochemical data rasterizing method",level:"2"},{id:"sec_5_3",title:"2.4.1 Conversion of data format",level:"3"},{id:"sec_6_3",title:"2.4.2 Rasterizing geochemical data",level:"3"},{id:"sec_9",title:"3. Results",level:"1"},{id:"sec_9_2",title:"3.1 Building geochemical atlas",level:"2"},{id:"sec_10_2",title:"3.2 Geochemical spectrum",level:"2"},{id:"sec_11_2",title:"3.3 Image display and image enhancement",level:"2"},{id:"sec_12_2",title:"3.4 Image statistics",level:"2"},{id:"sec_13_2",title:"3.5 Algebraic operations and logic operations of image",level:"2"},{id:"sec_14_2",title:"3.6 Geochemical image classification",level:"2"},{id:"sec_16",title:"4. Application of geochemical image in geology",level:"1"},{id:"sec_16_2",title:"4.1 Assisting in geological mapping",level:"2"},{id:"sec_17_2",title:"4.2 Prospecting target selection",level:"2"},{id:"sec_18_2",title:"4.3 The classification on mixed rocks",level:"2"},{id:"sec_20",title:"5. Discuss and future prospects",level:"1"},{id:"sec_21",title:"6. Conclusions",level:"1"},{id:"sec_22",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Bogoch R, Shirav M, Beyth M, Halicz L. Geochemistry of ephemeral stream sediments in the Precambrian mountainous arid terrain of southern Israel. Journal of Geochemical Exploration. 1993;46(3):349-364\n'},{id:"B2",body:'Brantley SL, White AF. Approaches to modeling weathered regolith. Reviews in Mineralogy and Geochemistry. 2009;70(1):435-484\n'},{id:"B3",body:'Cheng Q , Bonham-Carter G, Wang W, Zhang S, Li W, Qinglin X. 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Geochemistry of Permian bimodal volcanic rocks from central Inner Mongolia, North China: Implication for tectonic setting and Phanerozoic continental growth in Central Asian Orogenic Belt. Chemical Geology. 2008;249(3):262-281\n'},{id:"B28",body:'Zhang L, Gao B, Li W, Chen Z, Sakyi PA, Jin X. Early Mesozoic tectono-magmatic activity and mineralization in Northeast China: Evidence from Re–Os to U–Pb studies of the Taipingchuan porphyry Cu–Mo deposit in the Derbugan metallogenic belt. International Geology Review. 2014;56(15):1837-1851\n'},{id:"B29",body:'Xuejing X, Huanzhen S, Tianxiang R. Regional geochemistry-national reconnaissance project in China. Journal of Geochemical Exploration. 1989;33(1):1-9\n'},{id:"B30",body:'Cai YZ, Feng WH. A review of 1∶200 000 regional geochemical exploration in the forest-swamp area of eastern inner Mongolia. Geophysical & Geochemical Exploration. 2003;27(6):423-424\n'},{id:"B31",body:'Wang HF, Ye ZC. The application of new 1:200 000 regional geochemical methods to Wuchagou sheet in Inner Mongolian forest-swamp area. Geophysical & Geochemical Exploration. 2003;27(6):435-437\n'},{id:"B32",body:'Akima H. A method of bivariate interpolation and smooth surface fitting for irregularly distributed data points. ACM Transactions on Mathematical Software (TOMS). 1978;4(2):148-159\n'},{id:"B33",body:'Hecker C, Van der Meijde M, van der Werff H, Van der Meer FD. Assessing the influence of reference spectra on synthetic SAM classification results. IEEE Transactions on Geoscience and Remote Sensing. 2008;46(12):4162-4172\n'},{id:"B34",body:'Kruse FA, Lefkoff AB, Boardman JW, Heidebrecht KB, Shapiro AT, Barloon PJ, et al. The spectral image processing system (SIPS)—Interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment. 1993;44(2):145-163\n'},{id:"B35",body:'Webb JS. Regional geochemical reconnaissance in the Namwala Concession area, Zambia (No. 47). 1964\n'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Jiang Chen",address:"chen07761@itc.nl",affiliation:'
Shenyang Geological Center, CGS, Shenyang, Liaoning, China
Shenyang Geological Center, CGS, Shenyang, Liaoning, China
'}],corrections:null},book:{id:"7301",title:"Applied Geochemistry with Case Studies on Geological Formations, Exploration Techniques and Environmental Issues",subtitle:null,fullTitle:"Applied Geochemistry with Case Studies on Geological Formations, Exploration Techniques and Environmental Issues",slug:"applied-geochemistry-with-case-studies-on-geological-formations-exploration-techniques-and-environmental-issues",publishedDate:"February 5th 2020",bookSignature:"Luis Felipe Mazadiego, Eduardo De Miguel Garcia, Fernando Barrio-Parra and Miguel Izquierdo-Díaz",coverURL:"https://cdn.intechopen.com/books/images_new/7301.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"169369",title:"Dr.",name:"Felipe Luis",middleName:null,surname:"Mazadiego",slug:"felipe-luis-mazadiego",fullName:"Felipe Luis Mazadiego"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},profile:{item:{id:"60447",title:"Dr.",name:"Masao",middleName:null,surname:"Ban",email:"ban@sci.kj.yamagata-u.ac.jp",fullName:"Masao Ban",slug:"masao-ban",position:null,biography:null,institutionString:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",totalCites:0,totalChapterViews:"0",outsideEditionCount:0,totalAuthoredChapters:"2",totalEditedBooks:"0",personalWebsiteURL:null,twitterURL:null,linkedinURL:null,institution:{name:"Yamagata University",institutionURL:null,country:{name:"Japan"}}},booksEdited:[],chaptersAuthored:[{title:"Petrologic Study of Explosive Pyroclastic Eruption Stage in Shirataka Volcano, NE Japan: Synchronized Eruption of Multiple Magma Chambers",slug:"petrologic-study-of-explosive-pyroclastic-eruption-stage-in-shirataka-volcano-ne-japan-synchronized-",abstract:null,signatures:"Masao Ban, Shiho Hirotani, Osamu Ishizuka and Naoyoshi Iwata",authors:[{id:"60447",title:"Dr.",name:"Masao",surname:"Ban",fullName:"Masao Ban",slug:"masao-ban",email:"ban@sci.kj.yamagata-u.ac.jp"},{id:"139665",title:"Dr.",name:"Shiho",surname:"Hirotani",fullName:"Shiho Hirotani",slug:"shiho-hirotani",email:"shi.hirotani@ajiko.co.jp"},{id:"139666",title:"Dr.",name:"Osamu",surname:"Ishizuka",fullName:"Osamu Ishizuka",slug:"osamu-ishizuka",email:"o-ishizuka@aist.go.jp"},{id:"139667",title:"Dr.",name:"Naoyoshi",surname:"Iwata",fullName:"Naoyoshi Iwata",slug:"naoyoshi-iwata",email:"iwata@sci.kj.yamagata-u.ac.jp"}],book:{title:"Petrology",slug:"petrology-new-perspectives-and-applications",productType:{id:"1",title:"Edited Volume"}}},{title:"Exploring the Base of the Volcano: A Case Study of an Active Stratovolcano, Mt. Zao, NE Japan",slug:"exploring-the-base-of-the-volcano-a-case-study-of-an-active-stratovolcano-mt-zao-ne-japan",abstract:"It is very important to explore the base of large volcanoes because older volcanoes with distinct petrological characteristics are sometimes hidden behind them. Such older volcanoes provide keys to investigate the change of magma genesis and tectonic setting during geological time. We newly found an older volcano in southern part of Zao volcano, located in Japan. We have investigated in detail the eruptive products outcropping in its southern part and found that some eruptive rocks with peculiar features form a new stratovolcano which is different from Zao volcano. We call this newly found volcano, the Hiyamizuyama volcano. We have performed K-Ar dating on the representative rocks, obtaining an old age of approximately 1.45 My. The rocks are calcalkaline andesites to dacites, having distinct chemical compositional features with respect to any other calcalkaline rock of the stages 2–6 of Zao volcano. Megacrystals and plutonic intrusions represent a distinct character of the eruptive rocks of the Hiyamizuyama volcano. The finding of this older volcano is also important in order to consider the long-term temporal variation of volcanism and magmatism in the northeastern sector of Japan.",signatures:"Shin Sato, Masao Ban, Teruki Oikawa, Seiko Yamasaki and Yuki\nNIshi",authors:[{id:"60447",title:"Dr.",name:"Masao",surname:"Ban",fullName:"Masao Ban",slug:"masao-ban",email:"ban@sci.kj.yamagata-u.ac.jp"},{id:"208263",title:"MSc.",name:"Shin",surname:"Sato",fullName:"Shin Sato",slug:"shin-sato",email:"some3.ple3_je2_t2@docomo.ne.jp"},{id:"208264",title:"Dr.",name:"Seiko",surname:"Yamasaki",fullName:"Seiko Yamasaki",slug:"seiko-yamasaki",email:"yamasaki.seiko@aist.go.jp"},{id:"208265",title:"Dr.",name:"Teruki",surname:"Oikawa",fullName:"Teruki Oikawa",slug:"teruki-oikawa",email:"teruki-oikawa@aist.go.jp"},{id:"228086",title:"Dr.",name:"Yuki",surname:"Nishi",fullName:"Yuki Nishi",slug:"yuki-nishi",email:"west.yuki.1124@gmail.com"}],book:{title:"Volcanoes",slug:"volcanoes-geological-and-geophysical-setting-theoretical-aspects-and-numerical-modeling-applications-to-industry-and-their-impact-on-the-human-health",productType:{id:"1",title:"Edited Volume"}}}],collaborators:[{id:"50446",title:"Dr.",name:"Yan-Jie",surname:"Tang",slug:"yan-jie-tang",fullName:"Yan-Jie Tang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"58181",title:"Dr.",name:"Prosper",surname:"Nude",slug:"prosper-nude",fullName:"Prosper Nude",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Prosper M. NUDE had his university education from the University of Ghana and Utah State University where he was a visiting PhD student. He obtained his PhD degree from the University of Ghana in 2006. He is currently a Senior Lecturer at the Department of Earth Science, University of Ghana. Dr Nude’s specialization is in petrology, field geology and geological mapping. His general interests are in the application of geochemistry to petrologic problems. His current research efforts are on Precambrian orogen, on the eastern margin of the West African craton; this entails data from igneous, metamorphic geology, geochemistry and structural geology. He has published extensively on this area and recently confirmed the occurrence of carbonatites in the Dahomeyides of southeastern Ghana, a lithology that has been included in the new geological map (2010 edition) of Ghana. Dr Nude has previously worked at Ghana’s Council for Scientific and Industrial Research (CSIR) as a research geologist, and with several mineral exploration companies in West Africa as exploration geologist for which his interest in geochemical exploration of precious minerals, industrial minerals and rocks still constitute part of his research programmes and activities. He has travelled extensively on geological mapping and research work programmes in NW USA in the Snake River Plains, Bloominton, Manafee and Wasatch Formations, and in also in the Dahomeyides and Birirmian in the West African sub-region.",institutionString:null,institution:{name:"University of Ghana",institutionURL:null,country:{name:"Ghana"}}},{id:"59506",title:"Dr.",name:"Hemayat",surname:"Jamali",slug:"hemayat-jamali",fullName:"Hemayat Jamali",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"60956",title:"Prof.",name:"Kodjopa",surname:"Attoh",slug:"kodjopa-attoh",fullName:"Kodjopa Attoh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"60957",title:"Prof.",name:"John",surname:"Shervais",slug:"john-shervais",fullName:"John Shervais",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"94940",title:"Prof.",name:"Hong-Fu",surname:"Zhang",slug:"hong-fu-zhang",fullName:"Hong-Fu Zhang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Institute of Geology and Geophysics",institutionURL:null,country:{name:"China"}}},{id:"94943",title:"Dr.",name:"Ji-Feng",surname:"Ying",slug:"ji-feng-ying",fullName:"Ji-Feng Ying",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Institute of Geology and Geophysics",institutionURL:null,country:{name:"Azerbaijan"}}},{id:"101188",title:"Mr.",name:"Gordon",surname:"Foli",slug:"gordon-foli",fullName:"Gordon Foli",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University for Development Studies",institutionURL:null,country:{name:"Ghana"}}},{id:"139665",title:"Dr.",name:"Shiho",surname:"Hirotani",slug:"shiho-hirotani",fullName:"Shiho Hirotani",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"139666",title:"Dr.",name:"Osamu",surname:"Ishizuka",slug:"osamu-ishizuka",fullName:"Osamu Ishizuka",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null}]},generic:{page:{slug:"indexing-and-abstracting",title:"Indexing and Abstracting",intro:"
IntechOpen books are indexed by the following abstracting and indexing services:
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BKCI is a part of Web of Science Core Collection (WoSCC) and the world’s leading citation index with multidisciplinary content from the top tier international and regional journals, conference proceedings, and books. The Book Citation Index includes over 104,500 editorially selected books, with 10,000 new books added each year. Containing more than 53.2 million cited references, coverage dates back from 2005 to present. The Book Citation Index is multidisciplinary, covering disciplines across the sciences, social sciences, and arts & humanities.
Produced by the Web Of Science group, BIOSIS Previews research database provides researchers with the most current sources of life sciences information, including journals, conferences, patents, books, review articles, and more. Researchers can also access multidisciplinary coverage via specialized indexing such as MeSH disease terms, CAS registry numbers, Sequence Databank Numbers and Major Concepts.
Produced by the Web Of Science group, Zoological Record is the world’s oldest continuing database of animal biology. It is considered the world’s leading taxonomic reference, and with coverage back to 1864, has long acted as the world’s unofficial register of animal names. The broad scope of coverage ranges from biodiversity and the environment to taxonomy and veterinary sciences.
Provides a simple way to search broadly for scholarly literature. Includes peer-reviewed papers, theses, books, abstracts and articles, from academic publishers, professsional societies, preprint repositories, universities and other scholarly organizations. Google Scholar sorts articles by weighing the full text of each article, the author, the publication in which the article appears, and how often the article has been cited in other scholarly literature, so that the most relevant results are returned on the first page.
Microsoft Academic is a project exploring how to assist human conducting scientific research by leveraging machine’s cognitive power in memory, computation, sensing, attention, and endurance. Re-launched in 2016, the tool features an entirely new data structure and search engine using semantic search technologies. The Academic Knowledge API offers information retrieval from the underlying database using REST endpoints for advanced research purposes.
The national library of the United Kingdom includes 150 million manuscripts, maps, newspapers, magazines, prints and drawings, music scores, and patents. Online catalogues, information and exhibitions can be found on its website. The library operates the world's largest document delivery service, providing millions of items a year to national and international customers.
The digital NSK portal is the central gathering place for the digital collections of the National and University Library (NSK) in Croatia. It was established in 2016 to provide access to the Library’s digital and digitized material collections regardless of storage location. The digital NSK portal enables a unified search of digitized material from the NSK Special Collections - books, visual material, maps and music material. From the end of 2019, all thematic portals are available independently: Digital Books, Digitized Manuscripts, Digitized Visual Materials, Digital Music Materials and Digitized Cartographic Materials (established in 2017). Currently available only in Croatian.
The official DOI (digital object identifier) link registration agency for scholarly and professional publications. Crossref operates a cross-publisher citation linking system that allows a researcher to click on a reference citation on one publisher’s platform and link directly to the cited content on another publisher’s platform, subject to the target publisher’s access control practices. This citation-linking network covers millions of articles and other content items from several hundred scholarly and professional publishers.
Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. Dimensions delivers an array of search and discovery, analytical, and research management tools, all in a single platform. Developed in collaboration with over 100 leading research organizations around the world, it brings together over 128 million publications, grants, policy, data and metrics for the first time, enabling users to explore over 4 billion connections between them.
The primary aim of DOAB (Directory of Open Access Books) is to increase discoverability of Open Access books. Metadata will be harvestable in order to maximize dissemination, visibility and impact. Aggregators can integrate the records in their commercial services and libraries can integrate the directory into their online catalogues, helping scholars and students to discover the books.
OAPEN is dedicated to open access, peer-reviewed books. OAPEN operates two platforms, the OAPEN Library (www.oapen.org), a central repository for hosting and disseminating OA books, and the Directory of Open Access Books (DOAB, www.doabooks.org), a discovery service for OA books.
OpenAIRE aims at promoting and implementing the directives of the European Commission (EC) and the European Research Council on the promotion and funding of science and research. OpenAIRE supports the Open Access Mandate and the Open Research Data Pilot developed as part of the Horizon 2020 projects.
An integrated information service combining reference databases, subscription management, online journals, books and linking services. Widely used by libraries, schools, government institutions, medical institutions, corporations and others.
SFX® link resolver gives patrons and librarians a wealth of features that optimize management of and access to resources. It provides patrons with a direct route to electronic full-text records through OpenURL linking, delivers alternative links for further resource discovery, access to journals, and more. Released in 2001 as the first OpenURL resolver, SFX is continuously enhanced to support the newest industry developments and meet the evolving needs of customers. The records include a mix of scholarly material – primarily articles and e-books – but also conference proceedings, newspaper articles, and more.
A non-profit, membership, computer library service and research organization dedicated to the public purposes of furthering access to the world's information and reducing information costs. More than 41,555 libraries in 112 countries and territories around the world use OCLC services to locate, acquire, catalogue, lend and preserve library materials.
The world’s largest collection of open access research papers. CORE's mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all.
Perlego is a digital online library focusing on the delivery of academic, professional and non-fiction eBooks. It is a subscription-based service that offers users unlimited access to these texts for the duration of their subscription, however IntechOpen content integrated on the platform will always be available for free. They have been billed as “the Spotify for Textbooks” by the Evening Standard. Perlego is based in London but is available to users worldwide.
MyScienceWork provides a suite of data-driven solutions for research institutions, scientific publishers and private-sector R&D companies. MyScienceWork's comprehensive database includes more than 90 million scientific publications and 12 million patents.
CNKI (China National Knowledge Infrastructure) is a key national information construction project under the lead of Tsinghua University, and supported by PRC Ministry of Education, PRC Ministry of Science, Propaganda Department of the Communist Party of China and PRC General Administration of Press and Publication. CNKI has built a comprehensive China Integrated Knowledge Resources System, including journals, doctoral dissertations, masters' theses, proceedings, newspapers, yearbooks, statistical yearbooks, ebooks, patents, standards and so on. CNKI keeps integrating new contents and developing new products in 2 aspects: full-text academic resources, software on digitization and knowledge management. Began with academic journals, CNKI has become the largest and mostly-used academic online library in China.
As one of the largest digital content platform in China,independently developed by CNPIEC, CNPeReading positions herself as “One Platform,Vast Content, Global Services”. Through their new cooperation model and service philosophy, CNPeReading provides integrated promotion and marketing solutionsfor upstream publishers, one-stop, triune, recommendation, online reading and management servicesfor downstream institutions & libraries.
ERIC (Education Resources Information Center), sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education, provides access to education literature to support the use of educational research and information to improve practice in learning, teaching, educational decision-making, and research. The ERIC website is available to the public for searching more than one million citations going back to 1966.
The ACM Digital Library is a research, discovery and networking platform containing: The Full-Text Collection of all ACM publications, including journals, conference proceedings, technical magazines, newsletters and books. A collection of curated and hosted full-text publications from select publishers.
BASE (Bielefeld Academic Search Engine) is one of the world's most voluminous search sengines especially for academic web resources, e.g. journal articles, preprints, digital collections, images / videos or research data. BASE facilitates effective and targeted searches and retrieves high quality, academically relevant results. Other than search engines like Google or Bing BASE searches the deep web as well. The sources which are included in BASE are intellectually selected (by people from the BASE team) and reviewed. That's why data garbage and spam do not occur.
Zentralblatt MATH (zbMATH) is the world’s most comprehensive and longest-running abstracting and reviewing service in pure and applied mathematics. It is edited by the European Mathematical Society (EMS), the Heidelberg Academy of Sciences and Humanities and FIZ Karlsruhe. zbMATH provides easy access to bibliographic data, reviews and abstracts from all areas of pure mathematics as well as applications, in particular to natural sciences, computer science, economics and engineering. It also covers history and philosophy of mathematics and university education. All entries are classified according to the Mathematics Subject Classification Scheme (MSC 2020) and are equipped with keywords in order to characterize their particular content.
IDEAS is the largest bibliographic database dedicated to Economics and available freely on the Internet. Based on RePEc, it indexes over 3,100,000 items of research, including over 2,900,000 that can be downloaded in full text. RePEc (Research Papers in Economics) is a large volunteer effort to enhance the free dissemination of research in Economics which includes bibliographic metadata from over 2,000 participating archives, including all the major publishers and research outlets. IDEAS is just one of several services that use RePEc data.
As the authoritative source for chemical names, structures and CAS Registry Numbers®, the CAS substance collection, CAS REGISTRY®, serves as a universal standard for chemists worldwide. Covering advances in chemistry and related sciences over the last 150 years, the CAS content collection empowers researchers, business leaders, and information professionals around the world with immediate access to the reliable information they need to fuel innovation.
BKCI is a part of Web of Science Core Collection (WoSCC) and the world’s leading citation index with multidisciplinary content from the top tier international and regional journals, conference proceedings, and books. The Book Citation Index includes over 104,500 editorially selected books, with 10,000 new books added each year. Containing more than 53.2 million cited references, coverage dates back from 2005 to present. The Book Citation Index is multidisciplinary, covering disciplines across the sciences, social sciences, and arts & humanities.
Produced by the Web Of Science group, BIOSIS Previews research database provides researchers with the most current sources of life sciences information, including journals, conferences, patents, books, review articles, and more. Researchers can also access multidisciplinary coverage via specialized indexing such as MeSH disease terms, CAS registry numbers, Sequence Databank Numbers and Major Concepts.
Produced by the Web Of Science group, Zoological Record is the world’s oldest continuing database of animal biology. It is considered the world’s leading taxonomic reference, and with coverage back to 1864, has long acted as the world’s unofficial register of animal names. The broad scope of coverage ranges from biodiversity and the environment to taxonomy and veterinary sciences.
Provides a simple way to search broadly for scholarly literature. Includes peer-reviewed papers, theses, books, abstracts and articles, from academic publishers, professsional societies, preprint repositories, universities and other scholarly organizations. Google Scholar sorts articles by weighing the full text of each article, the author, the publication in which the article appears, and how often the article has been cited in other scholarly literature, so that the most relevant results are returned on the first page.
Microsoft Academic is a project exploring how to assist human conducting scientific research by leveraging machine’s cognitive power in memory, computation, sensing, attention, and endurance. Re-launched in 2016, the tool features an entirely new data structure and search engine using semantic search technologies. The Academic Knowledge API offers information retrieval from the underlying database using REST endpoints for advanced research purposes.
The national library of the United Kingdom includes 150 million manuscripts, maps, newspapers, magazines, prints and drawings, music scores, and patents. Online catalogues, information and exhibitions can be found on its website. The library operates the world's largest document delivery service, providing millions of items a year to national and international customers.
The digital NSK portal is the central gathering place for the digital collections of the National and University Library (NSK) in Croatia. It was established in 2016 to provide access to the Library’s digital and digitized material collections regardless of storage location. The digital NSK portal enables a unified search of digitized material from the NSK Special Collections - books, visual material, maps and music material. From the end of 2019, all thematic portals are available independently: Digital Books, Digitized Manuscripts, Digitized Visual Materials, Digital Music Materials and Digitized Cartographic Materials (established in 2017). Currently available only in Croatian.
The official DOI (digital object identifier) link registration agency for scholarly and professional publications. Crossref operates a cross-publisher citation linking system that allows a researcher to click on a reference citation on one publisher’s platform and link directly to the cited content on another publisher’s platform, subject to the target publisher’s access control practices. This citation-linking network covers millions of articles and other content items from several hundred scholarly and professional publishers.
Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. Dimensions delivers an array of search and discovery, analytical, and research management tools, all in a single platform. Developed in collaboration with over 100 leading research organizations around the world, it brings together over 128 million publications, grants, policy, data and metrics for the first time, enabling users to explore over 4 billion connections between them.
The primary aim of DOAB (Directory of Open Access Books) is to increase discoverability of Open Access books. Metadata will be harvestable in order to maximize dissemination, visibility and impact. Aggregators can integrate the records in their commercial services and libraries can integrate the directory into their online catalogues, helping scholars and students to discover the books.
OAPEN is dedicated to open access, peer-reviewed books. OAPEN operates two platforms, the OAPEN Library (www.oapen.org), a central repository for hosting and disseminating OA books, and the Directory of Open Access Books (DOAB, www.doabooks.org), a discovery service for OA books.
OpenAIRE aims at promoting and implementing the directives of the European Commission (EC) and the European Research Council on the promotion and funding of science and research. OpenAIRE supports the Open Access Mandate and the Open Research Data Pilot developed as part of the Horizon 2020 projects.
An integrated information service combining reference databases, subscription management, online journals, books and linking services. Widely used by libraries, schools, government institutions, medical institutions, corporations and others.
SFX® link resolver gives patrons and librarians a wealth of features that optimize management of and access to resources. It provides patrons with a direct route to electronic full-text records through OpenURL linking, delivers alternative links for further resource discovery, access to journals, and more. Released in 2001 as the first OpenURL resolver, SFX is continuously enhanced to support the newest industry developments and meet the evolving needs of customers. The records include a mix of scholarly material – primarily articles and e-books – but also conference proceedings, newspaper articles, and more.
A non-profit, membership, computer library service and research organization dedicated to the public purposes of furthering access to the world's information and reducing information costs. More than 41,555 libraries in 112 countries and territories around the world use OCLC services to locate, acquire, catalogue, lend and preserve library materials.
The world’s largest collection of open access research papers. CORE's mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all.
Perlego is a digital online library focusing on the delivery of academic, professional and non-fiction eBooks. It is a subscription-based service that offers users unlimited access to these texts for the duration of their subscription, however IntechOpen content integrated on the platform will always be available for free. They have been billed as “the Spotify for Textbooks” by the Evening Standard. Perlego is based in London but is available to users worldwide.
MyScienceWork provides a suite of data-driven solutions for research institutions, scientific publishers and private-sector R&D companies. MyScienceWork's comprehensive database includes more than 90 million scientific publications and 12 million patents.
CNKI (China National Knowledge Infrastructure) is a key national information construction project under the lead of Tsinghua University, and supported by PRC Ministry of Education, PRC Ministry of Science, Propaganda Department of the Communist Party of China and PRC General Administration of Press and Publication. CNKI has built a comprehensive China Integrated Knowledge Resources System, including journals, doctoral dissertations, masters' theses, proceedings, newspapers, yearbooks, statistical yearbooks, ebooks, patents, standards and so on. CNKI keeps integrating new contents and developing new products in 2 aspects: full-text academic resources, software on digitization and knowledge management. Began with academic journals, CNKI has become the largest and mostly-used academic online library in China.
As one of the largest digital content platform in China,independently developed by CNPIEC, CNPeReading positions herself as “One Platform,Vast Content, Global Services”. Through their new cooperation model and service philosophy, CNPeReading provides integrated promotion and marketing solutionsfor upstream publishers, one-stop, triune, recommendation, online reading and management servicesfor downstream institutions & libraries.
ERIC (Education Resources Information Center), sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education, provides access to education literature to support the use of educational research and information to improve practice in learning, teaching, educational decision-making, and research. The ERIC website is available to the public for searching more than one million citations going back to 1966.
The ACM Digital Library is a research, discovery and networking platform containing: The Full-Text Collection of all ACM publications, including journals, conference proceedings, technical magazines, newsletters and books. A collection of curated and hosted full-text publications from select publishers.
BASE (Bielefeld Academic Search Engine) is one of the world's most voluminous search sengines especially for academic web resources, e.g. journal articles, preprints, digital collections, images / videos or research data. BASE facilitates effective and targeted searches and retrieves high quality, academically relevant results. Other than search engines like Google or Bing BASE searches the deep web as well. The sources which are included in BASE are intellectually selected (by people from the BASE team) and reviewed. That's why data garbage and spam do not occur.
Zentralblatt MATH (zbMATH) is the world’s most comprehensive and longest-running abstracting and reviewing service in pure and applied mathematics. It is edited by the European Mathematical Society (EMS), the Heidelberg Academy of Sciences and Humanities and FIZ Karlsruhe. zbMATH provides easy access to bibliographic data, reviews and abstracts from all areas of pure mathematics as well as applications, in particular to natural sciences, computer science, economics and engineering. It also covers history and philosophy of mathematics and university education. All entries are classified according to the Mathematics Subject Classification Scheme (MSC 2020) and are equipped with keywords in order to characterize their particular content.
IDEAS is the largest bibliographic database dedicated to Economics and available freely on the Internet. Based on RePEc, it indexes over 3,100,000 items of research, including over 2,900,000 that can be downloaded in full text. RePEc (Research Papers in Economics) is a large volunteer effort to enhance the free dissemination of research in Economics which includes bibliographic metadata from over 2,000 participating archives, including all the major publishers and research outlets. IDEAS is just one of several services that use RePEc data.
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