03692nam 2200889z- 450 991036775160332120231214133421.03-03897-821-3(CKB)4100000010106201(oapen)https://directory.doabooks.org/handle/20.500.12854/53452(EXLCZ)99410000001010620120202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMicrowave Indices from Active and Passive Sensors for Remote Sensing ApplicationsMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (224 p.)3-03897-820-5 Past research has comprehensively assessed the capabilities of satellite sensors operating at microwave frequencies, both active (SAR, scatterometers) and passive (radiometers), for the remote sensing of Earth’s surface. Besides brightness temperature and backscattering coefficient, microwave indices, defined as a combination of data collected at different frequencies and polarizations, revealed a good sensitivity to hydrological cycle parameters such as surface soil moisture, vegetation water content, and snow depth and its water equivalent. The differences between microwave backscattering and emission at more frequencies and polarizations have been well established in relation to these parameters, enabling operational retrieval algorithms based on microwave indices to be developed. This Special Issue aims at providing an overview of microwave signal capabilities in estimating the main land parameters of the hydrological cycle, e.g., soil moisture, vegetation water content, and snow water equivalent, on both local and global scales, with a particular focus on the applications of microwave indices.time series analysispassive microwave soil moistureSentinel-1 and Sentinel-2Snow Depth and Snow Water Equivalentsnow cover characteristicsvegetation biomassroughnesssea iceSMOSmicrowave radiometrysoil moisture downscalingVegetation Biomassvegetation indexTerra MODISSentinel-1Microwave Indicessoil moisture contentdual-frequency ratiosSMAPpassive microwavewater-cloud modelsnowSentinel-1 backscatterAMSR2data fusionmicrowavesmountain regionSARstart of seasoncropsNDVIscatterometerRadarsat-2polarizationvegetation water contentco-pol ratioactive microwavesmicrowave indicesharvestMicrowave Radiometrysoil moistureSoil Moisture Contentsnow correlation lengthradiometerradarsoil scatteringvegetation descriptorscale gapsnow water equivalentSanti Emanueleauth326189Paloscia SimonettaauthBOOK9910367751603321Microwave Indices from Active and Passive Sensors for Remote Sensing Applications3027390UNINA