Microwave Indices from Active and Passive Sensors for Remote Sensing Applications

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 indice...

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Year of Publication:2019
Language:English
Physical Description:1 electronic resource (224 p.)
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spelling Santi, Emanuele auth
Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (224 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
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
3-03897-820-5
Paloscia, Simonetta auth
language English
format eBook
author Santi, Emanuele
spellingShingle Santi, Emanuele
Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
author_facet Santi, Emanuele
Paloscia, Simonetta
author_variant e s es
author2 Paloscia, Simonetta
author2_variant s p sp
author_sort Santi, Emanuele
title Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
title_full Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
title_fullStr Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
title_full_unstemmed Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
title_auth Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
title_new Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
title_sort microwave indices from active and passive sensors for remote sensing applications
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (224 p.)
isbn 3-03897-821-3
3-03897-820-5
illustrated Not Illustrated
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is_hierarchy_title Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
author2_original_writing_str_mv noLinkedField
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