A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, and Remote Sensing of Water Resources, Disasters, and Urban Studies.This volume demonstrates the experience, utility, methods, and models used in studying a wide array of remotely sensed data characterization, classification, and accuracies for terrestrial applications. Leading experts on global geographic coverage, study areas, and array of satellite and sensors contribute to this unique handbook. This theoretical as well as highly practical book represents a thorough history of advancement in the field over last 50 years, bringing us to where we are now, and highlighting future possibilities.Highlights include:Fundamental and advanced topics in remote-sensing satellites and sensorsRemote sensing data calibration, normalization, harmonization, and synthesisOptical, Radar, LiDAR, thermal, hyperspectral, and other satellite sensors, normalization of remotely sensed data, and data degradationsDigital image processing, urban image classification, and image classification methods in land use\land cover, cropland, change detection studiesEnhanced vegetation indices and standardization of vegetation indicesObject-based image analysis (OBIA) and geospatial data integrationLiDAR data processing and applicationsGeoprocessing, GIS, and GIScienceGNSS applicationsCrowdsourcing and cloud computingGoogle Earth for Earth SciencesMap accuraciesRemote-sensing law or space law, and a host of other topicsConsidered magnum opus on the subject, the three-volume Remote Sensing Handbook is edited by Dr. Prasad S. Thenkabail of the United States Geological Survey and a renowned international expert in remote sensing and GIScience, with contributions from the very best leading global experts, the handbook gives you a knowledge base on the evolution of remote sensing science, current state-of-the-art technology, and a future vision for the field.
Remotely Sensed Data Characterization, Classification, and Accuracies
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