This book discusses the fundamentals of land-use and land-cover characterization, mapping, and monitoring using remote sensing technology. After covering the basic concepts and history, it presents state-of-the-art methods and techniques in data acquisition, preprocessing, classification, image interpretation, and accuracy assessment. It also in
This book discusses the fundamentals of land-use and land-cover characterization, mapping, and monitoring using remote sensing technology. After covering the basic concepts and history, it presents state-of-the-art methods and techniques in data acquisition, preprocessing, classification, image interpretation, and accuracy assessment. It also inHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Chandra P. Giri, PhD, is a research physical scientist at the U.S. Geological Survey (USGS)/Earth Resources Observation and Science (EROS) Center, where he leads the International Land Cover and Biodiversity program. He is also a guest/adjunct faculty member at South Dakota State University. Prior to this, Dr. Giri worked for Columbia University in New York, United Nations Environment Programme (UNEP), Asian Institute of Technology, and the Forest Department of Nepal. He has experience working in the private sector, academia, government, and international organizations at national, continental, and global levels in different parts of the world. He also serves as an expert in national and international working groups. Dr. Giri has more than 50 scientific publications to his credit and has received several awards from USGS, NASA, and other organizations.
Inhaltsangabe
Overview: Brief Overview of Remote Sensing of Land Cover. History of Land Cover Mapping. Basic Principles: Semantic Issues in Land Cover Analysis: Representation, Analysis, and Visualization. Overview of Land Cover Classifications and Their Interoperability. Revisiting Land Cover Mapping Concepts. Evaluating Land Cover Legends Using the UN Land Cover Classification System. Long Term Satellite Data Records for Land Cover Monitoring. Preprocessing: Need for Sensor Calibration. Classification Trees and Mixed Pixel Training Data. Comparison between New Digital Image Classification Methods and Traditional Methods for Land Cover Mapping. Land Cover Change Detection. Supervised Classification Approaches for the Development of Land Cover Time Series. Forest Cover Change Detection Using Support Vector Machines. Global Land Cover Map Validation Experiences: Toward the Characterization of Uncertainty. Role of Remote Sensing for Land Use and Land Cover Change Modeling. Application Examples: Operational Service Demonstration for Global Land Cover Mapping: The GlobCover and GlobCorine Experiences for 2005 and 2009. Continental and Regional Approaches for Improving Land Cover Maps of Africa. Land Cover Mapping in Tropical Asia. Land Cover and Its Change in Europe: 1990 2006. North American Land Change Monitoring System. The Application of Medium Resolution MERIS Satellite Data for Continental Land Cover Mapping over South America: Results and Caveats. Mapping Land Cover and Land Use Changes in China. An Approach to Assess Land Cover Trends in the Conterminous United States (1973 2000). Is Africa Losing Its Natural Vegetation? Monitoring Trajectories of Land Cover Change Using Landsat Imagery. Looking Ahead: The NASA Land Cover and Land Use Change Program: Research Agenda and Progress (2005 2011). Building Saliency, Legitimacy, and Credibility toward Operational Global and Regional Land Cover Observations and As
Overview: Brief Overview of Remote Sensing of Land Cover. History of Land Cover Mapping. Basic Principles: Semantic Issues in Land Cover Analysis: Representation, Analysis, and Visualization. Overview of Land Cover Classifications and Their Interoperability. Revisiting Land Cover Mapping Concepts. Evaluating Land Cover Legends Using the UN Land Cover Classification System. Long Term Satellite Data Records for Land Cover Monitoring. Preprocessing: Need for Sensor Calibration. Classification Trees and Mixed Pixel Training Data. Comparison between New Digital Image Classification Methods and Traditional Methods for Land Cover Mapping. Land Cover Change Detection. Supervised Classification Approaches for the Development of Land Cover Time Series. Forest Cover Change Detection Using Support Vector Machines. Global Land Cover Map Validation Experiences: Toward the Characterization of Uncertainty. Role of Remote Sensing for Land Use and Land Cover Change Modeling. Application Examples: Operational Service Demonstration for Global Land Cover Mapping: The GlobCover and GlobCorine Experiences for 2005 and 2009. Continental and Regional Approaches for Improving Land Cover Maps of Africa. Land Cover Mapping in Tropical Asia. Land Cover and Its Change in Europe: 1990 2006. North American Land Change Monitoring System. The Application of Medium Resolution MERIS Satellite Data for Continental Land Cover Mapping over South America: Results and Caveats. Mapping Land Cover and Land Use Changes in China. An Approach to Assess Land Cover Trends in the Conterminous United States (1973 2000). Is Africa Losing Its Natural Vegetation? Monitoring Trajectories of Land Cover Change Using Landsat Imagery. Looking Ahead: The NASA Land Cover and Land Use Change Program: Research Agenda and Progress (2005 2011). Building Saliency, Legitimacy, and Credibility toward Operational Global and Regional Land Cover Observations and As
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