Ming Hung

Northwest Missouri State University United States of America

Ming-Chih Hung is a Professor of Geography/GIScience at Northwest Missouri State University. He earned his bachelor degree from National Taiwan University focusing on DEM applications, his MS from the University of Utah focusing on the V-I-S Model and soft classification of TM images, and his Ph.D. also from the University of Utah focusing on remote sensing and GIS on urban areas. His research emphasizes on use of GIScience on urban areas. In addition to urban areas, he is also interested in precision agriculture and environmental issues. At Northwest Missouri State, he teaches courses on remote sensing, GIS, GPS, and cartography.

2books edited

1chapters authored

Latest work with IntechOpen by Ming Hung

Remote sensing was the primary data source since the launch of the first environmental monitoring satellite back in 1972. In the past five decades, remote sensing technology has come a long way and evolved into a mature science. Even so, new technologies, new theories, new methodologies, and new applications continue to emerge. With the rapid pace of technological advancement, it is essential to share experiences especially between different disciplines, either on breakthroughs in new theory or understanding, or applications of remote sensing on real world issues. Disciplines or fields covered in this book include geography, geology, agriculture, forestry, botany, and oceanography. Though remote sensing may be used differently in various disciplines, the principles are similar, if not the same. This book will be valuable to scientists, scholars, working professionals, or students who use remote sensing in their work, and are interested in learning how others use remote sensing in different ways.

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Recent Advances and Applications in Remote Sensing

Edited by Ming Hung

Books edited

Applications of Spatial Statistics

Edited by Ming Hung

Chapters authored

Use of Historical Google Earth Images to Create Likelihood of Aquatic Plants along Segments of Ohio River

By Yi-Hwa Wu, Ming-Chih Hung, Jeff Thomas and Maureen Gallagher

Aquatic invasive plants are well known for causing severe impacts to local ecosystems, such as degrading water quality, decreasing biodiversity, consuming natural resources, among other impacts. Major water bodies in US had experienced such impacts. To mitigate such impacts, the U.S. Fish and Wildlife Service and the Ohio River Valley Water Sanitation Commission had put significant amounts of effort toward identifying and removing aquatic invasive plants along the Ohio River shorelines. Field work played a significant role in such identification and removal, but at great expense on labor and time. River systems are dynamic, coupled with similarities between spectral reflectance from submerged plants and background water bodies, limited success was reported from literature regarding the use of remote sensing with selected images on detecting aquatic plants. This study utilized Google Earth historical images between 2003 and 2015 along a section of Ohio River known as the Racine Pool and examined and recorded the appearances of aquatic plants. Visible aquatic plants or suspicious submerged objects were digitized and converted to ESRI shapefiles and grids. Spatial analyses and overlays were then performed between grids to derive a map showing frequency of appearance. Such frequency of appearance may serve the purposes of predicting future sighting and/or guides for directing field work in hopes to save labor and time.

Part of the book: Recent Advances and Applications in Remote Sensing

Ming Hung

Latest work with IntechOpen by Ming Hung

Recent Advances and Applications in Remote Sensing

Books edited

Applications of Spatial Statistics

Chapters authored

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