Microwave Indices from Active and Passive Sensors for Remote Sensing Applications

• Hoofdauteur: Santi, Emanuele (auth)
• Andere auteurs: Paloscia, Simonetta (auth)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Onderwerpen: Geography; time series analysis; passive microwave soil moisture; Sentinel-1 and Sentinel-2; Snow Depth and Snow Water Equivalent; snow cover characteristics; vegetation biomass; roughness; sea ice; SMOS; microwave radiometry; soil moisture downscaling; Vegetation Biomass; vegetation index; Terra MODIS; Sentinel-1; Microwave Indices; soil moisture content; dual-frequency ratios; SMAP; passive microwave; water-cloud model; snow; Sentinel-1 backscatter; AMSR2; data fusion; microwaves; mountain region; SAR; start of season; crops; NDVI; scatterometer; Radarsat-2; polarization; vegetation water content; co-pol ratio; active microwaves; microwave indices; harvest; Microwave Radiometry; soil moisture; Soil Moisture Content; snow correlation length; radiometer; radar; soil scattering; vegetation descriptor; scale gap; snow water equivalent
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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 i...