Remotely Sensed Data Characterization, Classification, and Accuracies

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 sensors Remote sensing data calibration, normalization, harmonization, and synthesis Optical, Radar, LiDAR, thermal, hyperspectral, and other satellite sensors, normalization of remotely sensed data, and data degradations Digital image processing, urban image classification, and image classification methods in land use\land cover, cropland, change detection studies Enhanced vegetation indices and standardization of vegetation indices Object-based image analysis (OBIA) and geospatial data integration LiDAR data processing and applications Geoprocessing, GIS, and GIScience GNSS applications Crowdsourcing and cloud computing Google Earth for Earth Sciences Map accuracies Remote-sensing law or space law, and a host of other topics Considered 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.

SATELLITES AND SENSORS FROM DIFFERENT ERAS AND THEIR CHARACTERISTICSRemote Sensing Systems—Platforms and Sensors: Aerial, Satellite, UAV, Optical, Radar, and LiDARSudhanshu S. Panda, Mahesh N. Rao, Prasad S. Thenkabail, and James E. FitzeraldFUNDAMENTALS OF REMOTE SENSING: EVOLUTION, STATE OF THE ART, AND FUTURE POSSIBILITIESFundamentals of Remote Sensing for Terrestrial Applications: Evolution, Current State of the Art, and Future PossibilitiesNatascha Oppelt, Rolf Scheiber, Peter Gege, Martin Wegmann, Hannes Taubenboeck, and Michael BergerDATA NORMALIZATION, HARMONIZATION, AND INTERSENSOR CALIBRATIONOverview of Satellite Image Radiometry in the Solar-Reflective Optical DomainPhilippe M. TeilletPostlaunch Radiometric Calibration of Satellite-Based Optical Sensors with Emphasis on Terrestrial Reference Standard SitesPhilippe M. Teillet and Gyanesh ChanderRemote Sensing Data NormalizationRudiger Gens and Jordi Cristóbal RossellóSatellite Data Degradations and Their Impacts on High-Level ProductsDongdong WangVEGETATION INDEX STANDARDIZATION AND CROSS-CALIBRATION OF DATA FROM MULTIPLE SENSORSInter- and Intrasensor Spectral Compatibility and Calibration of the Enhanced Vegetation IndicesTomoaki Miura, Kenta Obata, Javzandulam T. Azuma, Alfredo Huete, and Hiroki YoshiokaToward Standardization of Vegetation IndicesMichael D. Steven, Timothy J. Malthus, and Frédéric BaretIMAGE PROCESSING METHODS AND APPROACHESDigital Image Proceßing: A Review of the Fundamental Methods and TechniquesSunil Narumalani and Paul MeraniUrban Image Classification: Per-Pixel Claßifiers, Subpixel Analysis, Object-Based Image Analysis, and Geospatial MethodsSoe W. Myint, Victor Mesev, Dale A. Quattrochi, and Elizabeth A. WentzImage Classification Methods in Land Cover and Land UseMutlu OzdoganHyperspectral Image Processing: Methods and ApproachesJun Li and Antonio PlazaThermal Infrared Remote Sensing: Principles and Theoretical BackgroundClaudia Kuenzer, Jianzhong Zhang, and Stefan DechObject-Based Image Analysis: Evolution, History, State of the Art, and Future VisionThomas Blaschke, Maggi Kelly, and Helena MerschdorfGeospatial Data Integration in OBIA: Implications of Accuracy and ValidityStefan Lang and Dirk TiedeImage Segmentation Algorithms for Land CategorizationJames C. Tilton, Selim Aksoy, and Yuliya TarabalkaLiDAR Data Processing and ApplicationsShih-Hong Chio, Tzu-Yi Chuang, Pai-Hui Hsu, Jen-Jer Jaw, Shih-Yuan Lin, Yu-Ching Lin, Tee-Ann Teo, Fuan Tsai, Yi-Hsing Tseng, Cheng-Kai Wang, Chi-Kuei Wang, Miao Wang, and Ming-Der YangCHANGE DETECTIONChange Detection Techniques Using Multisensor DataDaniela Anjos, Dengsheng Lu, Luciano Dutra, and Sidnei Sant’AnnaINTEGRATING GEOGRAPHIC INFORMATION SYSTEMS (GIS) AND REMOTE SENSING IN SPATIAL MODELING FRAMEWORK FOR DECISION SUPPORTGeoproceßing, Workflows, and ProvenanceJason A. Tullis, Jackson D. Cothren, David P. Lanter, Xuan Shi, W. Fredrick Limp, Rachel F. Linck, Sean G. Young, and Tareefa S. AlsumaitiToward Democratization of Geographic Information: GIS, Remote Sensing, and GNß Applications in Everyday LifeGaurav Sinha, Barry J. Kronenfeld, and Jeffrey C. BrunskillFrontiers of GIScience: Evolution, State of the Art, and Future PathwaysMay YuanObject-Based Regionalization for Policy-Oriented Partitioning of SpaceStefan Lang, Stefan Kienberger, Michael Hagenlocher, and Lena PernkopfGLOBAL NAVIGATION SATELLITE SYSTEMS (GNSS;) REMOTE SENSINGGlobal Navigation Satellite Systems Theory and Practice: Evolution, State of the Art, and Future PathwaysMohinder S. GrewalGlobal Navigation Satellite System Reflectometry for Ocean and Land ApplicationsKegen Yu, Chris Rizos, and Andrew DempsterGlobal Navigation Satellite Systems for Wide Array of Terrestrial ApplicationsMyszor, O. Antemijczuk, M. Grygierek, M. Wierzchanowski, and K.A. CyranCROWDSOURCING AND REMOTE SENSING DATACrowdsourcing and Remote Sensing: Combining Two Views of Planet EarthFabio Dellâ’AcquaCLOUD COMPUTING AND REMOTE SENSINGProceßing Remote-Sensing Data in Cloud Computing EnvironmentsRamanathan Sugumaran, James W. Hegeman, Vivek B. Sardeshmukh, and Marc P. ArmstrongGOOGLE EARTH FOR REMOTE SENSINGGoogle Earth for Remote SensingJohn E. BaileyACCURACIES, ERRORS, AND UNCERTAINTIES OF REMOTE SENSING-DERIVED PRODUCTSAssessing Positional and Thematic Accuracies of Maps Generated from Remotely Sensed DataRussell G. CongaltonSPACE LAW AND REMOTE SENSINGRemote Sensing Law: An Overview of Its Development and Its Trajectory in the Global ContextP.J. BlountSUMMARYRemote Sensing Data Characterization, Classification, and Accuracies: Advances of the Last 50 Years and a Vision for the FuturePrasad S. Thenkabail