Microwave Indices from Active and Passive Sensors for Remote Sensing Applications

Microwave Indices from Active and Passive Sensors for Remote Sensing Applications

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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...

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Bibliographische Detailangaben
1. Verfasser: Santi, Emanuele (auth)
Weitere Verfasser: Paloscia, Simonetta (auth)
Format: Buchkapitel
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2019
Schlagworte:
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
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