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: | , |
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| বিন্যাস: | Online |
| ভাষা: | ইংরেজি |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | 42592 |
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| _version_ | 1869524926985142272 |
|---|---|
| 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. |
| format | Online |
| 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 |