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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প্রধান লেখক: Santi, Emanuele, Paloscia, Simonetta
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ভাষা:ইংরেজি
প্রকাশিত: MDPI - Multidisciplinary Digital Publishing Institute 2021
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অনলাইন ব্যবহার করুন:42592
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author Santi, Emanuele
Paloscia, Simonetta
author_browse Paloscia, Simonetta
Santi, Emanuele
author_facet Santi, Emanuele
Paloscia, Simonetta
author_sort Santi, Emanuele
collection Directory of Open Access Books
description 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.
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id doab-20.500.12854ir-53452
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-534522024-04-09T11:42:21Z Microwave Indices from Active and Passive Sensors for Remote Sensing Applications Santi, Emanuele Paloscia, Simonetta G1-922 Q1-390 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 thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography 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. 2021-02-11T19:36:23Z 2021-02-11T19:36:23Z 2019-12-09 11:49:16 2019 book 42592 9783038978213 9783038978206 https://directory.doabooks.org/handle/20.500.12854/53452 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1730 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-821-3 10.3390/books978-3-03897-821-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038978213 9783038978206 224 open access
spellingShingle G1-922
Q1-390
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
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Santi, Emanuele
Paloscia, Simonetta
Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
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_short Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
title_sort microwave indices from active and passive sensors for remote sensing applications
topic G1-922
Q1-390
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
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
topic_facet G1-922
Q1-390
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
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
url 42592
work_keys_str_mv AT santiemanuele microwaveindicesfromactiveandpassivesensorsforremotesensingapplications
AT palosciasimonetta microwaveindicesfromactiveandpassivesensorsforremotesensingapplications