Remote Sensing AVHRR Advanced Very High Resolution Radiometer CDMA Code Division Multiple Access CEOS Committee on Earth Observation Satellites CHRIS Compact High Resolution Imaging Spectrometer CYGNSS Cyclone Global Navigation Satellite System DEM Digital Elevation Model DESDynI Deformation, Ecosystem Structure and Dynamics

of Ice DSM Digital Surface Model EO Earth Observation ERTS Earth Resources Technology Sateelites ESRI Environmental Systems Research Institute ETM+ Enhanced Ÿematic Mapper+ EVI Enhanced Vegetation Index FGDC Federal Geographic Data Committee GEOBIA Geographic Object-based Image Analysis GIMMS Global Inventory Modeling and Mapping Studies GIS Geographic Information System GLONASS Global Orbiting Navigation Satellite System GNSS Global Navigation Satellite Systems GOES Geostationary Operational Environmental

Satellite GEOSS Global Earth Observing System of Systems GLAS Geoscience Laser Altimeter System GNSS Global Navigation Satellite System GPS Global Positioning System ICESat Instrument aboard the Ice, Cloud, and land

Elevation ISODATA Iterative Self-organizing Data Analysis Technique LiDAR Light Detection and Ranging LST Land Surface Temperature MODIS Moderate Resolution Imaging Spectroradiometer NDVI Normalized Di§erence Vegetation Index NOAA National Oceanic and Atmospheric

Administration NPOESS National Polar-orbiting Operational

Environmental Satellite System NPP NPOESS Preparatory Project OBIA Object Oriented Image Analysis OMI Ozone Monitoring Instrument PALSAR Phased Array type L-band Synthetic Aperture

Radar PROBA Project for On Board Autonomy RS Remote Sensing RADAR Radio Detection and Ranging SAR Synthetic Aperture Radar

SMTs Spectral Matching Techniques SST Sea Surface Temperature SODAR Sonic Detection and Ranging SONAR Sound Navigation and Ranging SPOT Système Pour l’Observation de la Terre SRTM Shuttle Radar Topographic Mission SVM Support Vector Machines TIN Triangular Irregular Network TIR Ÿermal Infrared TM Ÿematic Mapper TOA Top of Atmosphere UAS Unmanned Aircra¬ Systems UAV Unmanned Aerial Vehicles VGI Volunteered Geographic Vegetation VHRI Very High Resolution Imagery VI Vegetation Index

Ÿis chapter provides a summary of each of the 30 chapters in Remotely Sensed Data Characterization, Classi cation, and Accuracies of the Remote-Sensing Handbook. Ÿe topics covered in the chapters of Remotely Sensed Data Characterization, Classi cation, and Accuracies include: (a) satellites and sensors; (b) remote-sensing fundamentals; (c) data normalization, harmonization, and standardization; (d) vegetation indices (VIs) and their within and across sensor calibration; (e) image classi¦cation methods and approaches; (f) change detection; (g) integrating remote sensing with other spatial data; (h) Global Navigation Satellite Systems (GNSS); (i) crowdsourcing; (j) cloud computing; (k) Google Earth™ remote sensing; (l) accuracy assessments; and (m) remote-sensing law. Under each of the aforementioned broad topics, there are one or more chapters. For example, there are nine chapters under image classi¦cation methods and approaches. In  a  nutshell, these chapters provide a complete and comprehensive overview of these critical topics, capture the advances over the last 50 years, and provide a vision for further development in the years ahead. By reading this summary chapter, a reader can have a quick understanding of what is in each of the chapters of this book, see how the chapters interconnect and intermingle, and get an overview on the importance of various chapters in developing complete and comprehensive knowledge of the remote-sensing data characterization, classi¦cation, and accuracies. Ÿese chapters, together, capture the advances of the last 50 years and provide a vision for the future.