Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
Santi, Emanuele
Microwave Indices from Active and Passive Sensors for Remote Sensing Applications - MDPI - Multidisciplinary Digital Publishing Institute 2019 - 1 electronic resource (224 p.)
Open Access
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.
Creative Commons
English
books978-3-03897-821-3 9783038978213 9783038978206
10.3390/books978-3-03897-821-3 doi
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
Microwave Indices from Active and Passive Sensors for Remote Sensing Applications - MDPI - Multidisciplinary Digital Publishing Institute 2019 - 1 electronic resource (224 p.)
Open Access
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.
Creative Commons
English
books978-3-03897-821-3 9783038978213 9783038978206
10.3390/books978-3-03897-821-3 doi
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