Listing 1 - 2 of 2 |
Sort by
|
Choose an application
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 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
Choose an application
This Special Issue gathers papers reporting research on various aspects of remote sensing of Sea Surface Salinity (SSS) and the use of satellite SSS in oceanography. It includes contributions presenting improvements in empirical or theoretical radiative transfer models; mitigation techniques of external interference such as RFI and land contamination; comparisons and validation of remote sensing products with in situ observations; retrieval techniques for improved coastal SSS monitoring, high latitude SSS and the assessment of ocean interactions with the cryosphere; and data fusion techniques combining SSS with sea surface temperature (SST). New instrument technology for the future of SSS remote sensing is also presented.
n/a --- satellite salinity --- one-dimensional (1D) aperture synthesis radiometer --- smos --- Gulf of Maine --- retrieval errors --- Aquarius --- combined active/passive SSS retrieval algorithm --- ocean surface roughness --- upwelling --- salt transport --- quality assessment --- sea ice --- SMOS --- microwave radiometry --- Arctic Gateways --- Aquarius satellite --- validation --- sea surface temperature --- water transport --- forward model --- river discharge --- sea surface salinity --- remote sensing --- retrieval algorithm --- Water Cycle Observation Mission (WCOM) --- SMAP --- microwave remote sensing --- alboran sea --- surface velocity --- Arctic Ocean --- sea surface salinity (SSS) --- coastal --- brightness temperature (TB) --- interferometric microwave imager (IMI) --- Scotian Shelf --- MICAP --- different instrument configurations --- bias characteristics --- mediterranean sea --- Gulf of Mexico --- calibration --- retroflections --- Arctic ocean --- salinity --- Sea Surface Salinity --- Arctic rivers --- Argo --- data processing --- aquarius --- ocean salinity --- Aquarius Validation Data System (AVDS)
Listing 1 - 2 of 2 |
Sort by
|