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This book is indexed in
Earth and Planetary Sciences » Geology and Geophysics
Advances in Geoscience and Remote Sensing
Edited by Gary Jedlovec, ISBN 978-953-307-005-6, Hard cover, 742 pages, Publisher: InTech, Chapters published October 01, 2009 under CC BY-NC-SA 3.0 license
DOI: 10.5772/46139
Remote sensing is the acquisition of information of an object or phenomenon, by the use of either recording or real-time sensing device(s), that is not in physical or intimate contact with the object (such as by way of aircraft, spacecraft, satellite, buoy, or ship). In practice, remote sensing is the stand-off collection through the use of a variety of devices for gathering information on a given object or area. Human existence is dependent on our ability to understand, utilize, manage and maintain the environment we live in - Geoscience is the science that seeks to achieve these goals. This book is a collection of contributions from world-class scientists, engineers and educators engaged in the fields of geoscience and remote sensing.
- Chapter 1
Enhancing the Unmixing Algorithm through the Spatial Data Modeling for Limnological Studies - Chapter 2
Application of Remote Sensing to the Estimation of Sea Ice Thickness Distribution - Chapter 3
Correction of NDVI Calculated from ASTER L1B and ASTER (AST07) Data Based on Ground Measurement - Chapter 4
Environmental Hazards in the El-Temsah Lake, Suez Canal District, Egypt - Chapter 5
Air Pollution Determination Using Remote Sensing Technique - Chapter 6
Some Features of The Volume Component of Radar Backscatter From Thick and Dry Snow Cover - Chapter 7
Theoretical Modeling for Polarimetric Scattering and Information Retrieval of SAR Remote Sensing - Chapter 8
Polarimetric Responses and Scattering Mechanisms of Tropical Forests in the Brazilian Amazon - Chapter 9
Discovery of User-Generated Geographic Data Using Web Search Engines - Chapter 10
Estimation of Soil Properties Using Observations and the Crop Model STICS. Interest of Global Sensitivity Analysis and Impact on the Prediction of Agro-Environmental Variables - Chapter 11
Modeling of Wake-Vortex Detection by a Ground-based Fiber LIDAR System - Chapter 12
Earthquake Damage Mapping Techniques Using SAR and Optical Remote Sensing Satellite Data - Chapter 13
Spectroscopic Microwave Dielectric Model of Moist Soils - Chapter 14
Automated Detection of Clouds in Satellite Imagery - Chapter 15
Remote sensing and the disaster management cycle - Chapter 16
Prediction of Volumetric Shrinkage in Expansive Soils (Role of Remote Sensing) - Chapter 17
Monitoring Soil Moisture from Spaceborne Passive Microwave Radiometers: Algorithm Developments and Applications to AMSR-E and SSM/I - Chapter 18
Multiwavelength Polarimetric Lidar for Foliage Obscured Man-Made Target Detection - Chapter 19
Unmixing Based Landsat ETM+ and ASTER Image Fusion for Hybrid Multispectral Image Analysis - Chapter 20
InSAR phase analysis: Phase unwrapping for noisy SAR interferograms - Chapter 21
Soil moisture estimation using L-band radiometry - Chapter 22
AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems - Chapter 23
Possibilistic and fuzzy multi-sensor fusion for humanitarian mine action - Chapter 24
Non specular reflection and depolarisation due to walls under oblique incidence - Chapter 25
Dynamical Enhancement Technique for Geophysical Analysis of Remote Sensing Imagery - Chapter 26
Forest Inventory using Optical and Radar Remote Sensing - Chapter 27
Application of Multi-Frequency Synthetic Aperture Radar (SAR) in Crop Classification - Chapter 28
Multispectal Image Classification Using Rough Set Theory and Particle Swam Optimization - Chapter 29
Derivative analysis of hyperspectral oceanographic data - Chapter 30
Electromagnetic Scattering Analysis of Simple Targets Embedded in Planar Multilayer Structures: Remote Sensing Applications - Chapter 31
On Performance of S-band FMCW Radar for Atmospheric Measurements - Chapter 32
Use of Lidar Data in Floodplain Risk Management Planning: The Experience of Tabasco 2007 Flood - Chapter 33
Improving Wetland Characterization with Multi-Sensor, Multi-Temporal SAR and Optical/Infrared Data Fusion - Chapter 34
Remote Sensing Rock Mechanics and Earthquake Thermal Infrared Anomalies
