03398nam 2200985z- 450 991055776500332120231214132953.0(CKB)5400000000045711(oapen)https://directory.doabooks.org/handle/20.500.12854/69282(EXLCZ)99540000000004571120202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Remote Sensing-based Disaster Monitoring and AssessmentBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (232 p.)3-03943-322-9 3-03943-323-7 Remote sensing data and techniques have been widely used for disaster monitoring and assessment. In particular, recent advances in sensor technologies and artificial intelligence-based modeling are very promising for disaster monitoring and readying responses aimed at reducing the damage caused by disasters. This book contains eleven scientific papers that have studied novel approaches applied to a range of natural disasters such as forest fire, urban land subsidence, flood, and tropical cyclones.Research & information: generalbicsscwildfiresatellite vegetation indiceslive fuel moistureempirical model functionSouthern Californiachaparral ecosystemforest fireforest recoverysatellite remote sensingvegetation indexburn indexgross primary productionSouth Korealand subsidencePS-InSARuneven settlementbuilding constructionBeijing urban areafloodplain delineationinaccessible regionmachine learningflash floodriskLSSVMChinaHimawari-8threshold-based algorithmremote sensingdryness monitoringsoil moistureNIR-Red spectral spaceLandsat-8MODISXinjiang province of ChinaSDEPEgroundwater levelcompressible sediment layertropical cyclone formationWindSatdisaster monitoringwireless sensor networkdebris flowanomaly detectiondeep learningaccelerometer sensortotal precipitable waterHimawari-8 AHIrandom forestdeep neural networkXGBoostResearch & information: generalIm Junghoedt1309870Park HaemiedtTakeuchi WataruedtIm JunghoothPark HaemiothTakeuchi WataruothBOOK9910557765003321Advances in Remote Sensing-based Disaster Monitoring and Assessment3029684UNINA