Remote Sensing of Regional Soil Moisture
Requests for regional soil moisture observations are increasing to parameterize complex hydrological models, to assess the impact of land-use changes, and to develop climate adaption strategies in the agricultural sector. Spatial land-use patterns have an impact on the soil water balance and groundw...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
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| ভাষা: | ইংরেজি |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20220224_9783036529578_137 |
| ট্যাগগুলো: |
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| _version_ | 1869529692247162880 |
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| collection | Directory of Open Access Books |
| description | Requests for regional soil moisture observations are increasing to parameterize complex hydrological models, to assess the impact of land-use changes, and to develop climate adaption strategies in the agricultural sector. Spatial land-use patterns have an impact on the soil water balance and groundwater recharge. Soil moisture is therefore a key parameter for the long-term monitoring and development of sustainable land-management and landscape design strategies that mitigate regional water scarcity and droughts. For example, the spatial organization of hedges or tree rows related to open land and wind direction avoids soil erosion, limits local evaporation, and increases local soil water storage. Since the early 1980s, satellite missions have been designed to monitor proxies for soil moisture, mainly at the national and global scale, with a relatively coarse pixel resolution and low accuracy. The local effects of weather and climate are very dynamic in space and time. Thus, a strong need exists for more accurate, regional-scale remote sensing products for soil moisture. The transfer of existing, proof-of-concept algorithms to region-specific monitoring frameworks is urgent. This Special Issue provides an overview of current developments on remote sensing-based soil moisture observations that are applicable at a regional scale. The compendium of research papers demonstrates the benefits of concurrently utilizing multi-source remote sensing data and in situ measurements through: - Using additional data and site-specific knowledge; - Combining empirical and physical approaches; - Developing concepts to deal with mixed pixels. |
| format | Online |
| id | doab-20.500.12854ir-78840 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-788402024-04-11T15:10:36Z Remote Sensing of Regional Soil Moisture Pause, Marion Wöhling, Thomas Schulz, Karsten Jagdhuber, Thomas Schrön, Martin instrument development hyperspectral spectroradiometry LiDAR soil regional soil moisture in situ network AMSR2 FY3B evaluation EVI SST disaggregation soil moisture DISPATCH Intermediate spatial resolution SMAP geostationary validation SEVIRI thermal infrared land surface temperature downscaling advanced scatterometer (ASCAT) soil moisture active passive (SMAP) random forest low-cost sensor AMSR-E the microwave polarization difference index surface soil moisture regional scale vegetation traits multi-sensor approach wetland environmental monitoring remote sensing geostatistics gap-filling mesonet ESA CCI SM ASTER imagery soil moisture content thermal inertia model serial dual-source model surface component temperature shadow impact multi-model coupling optimal solution method ESA CCI residual soil moisture evapotranspiration trend rainfall variability CHIRPS theta probe Sentinel-1A NDVI modified Dubois model Sentinel-1/2 Landsat-8 GF-1 vegetation water content Oh Dubois IEM WCM SSRT SAR LAI wheat Sentinel-1 support vector machine ordinary least square regression time series Mongolia MODIS relative soil moisture Chinese Loess Plateau ATI TVDI thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Requests for regional soil moisture observations are increasing to parameterize complex hydrological models, to assess the impact of land-use changes, and to develop climate adaption strategies in the agricultural sector. Spatial land-use patterns have an impact on the soil water balance and groundwater recharge. Soil moisture is therefore a key parameter for the long-term monitoring and development of sustainable land-management and landscape design strategies that mitigate regional water scarcity and droughts. For example, the spatial organization of hedges or tree rows related to open land and wind direction avoids soil erosion, limits local evaporation, and increases local soil water storage. Since the early 1980s, satellite missions have been designed to monitor proxies for soil moisture, mainly at the national and global scale, with a relatively coarse pixel resolution and low accuracy. The local effects of weather and climate are very dynamic in space and time. Thus, a strong need exists for more accurate, regional-scale remote sensing products for soil moisture. The transfer of existing, proof-of-concept algorithms to region-specific monitoring frameworks is urgent. This Special Issue provides an overview of current developments on remote sensing-based soil moisture observations that are applicable at a regional scale. The compendium of research papers demonstrates the benefits of concurrently utilizing multi-source remote sensing data and in situ measurements through: - Using additional data and site-specific knowledge; - Combining empirical and physical approaches; - Developing concepts to deal with mixed pixels. 2022-02-24T10:38:20Z 2022-02-24T10:38:20Z 2022 book ONIX_20220224_9783036529578_137 9783036529578 9783036529561 https://directory.doabooks.org/handle/20.500.12854/78840 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4934 https://mdpi.com/books/pdfview/book/4934 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2957-8 10.3390/books978-3-0365-2957-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036529578 9783036529561 426 Basel open access |
| spellingShingle | instrument development hyperspectral spectroradiometry LiDAR soil regional soil moisture in situ network AMSR2 FY3B evaluation EVI SST disaggregation soil moisture DISPATCH Intermediate spatial resolution SMAP geostationary validation SEVIRI thermal infrared land surface temperature downscaling advanced scatterometer (ASCAT) soil moisture active passive (SMAP) random forest low-cost sensor AMSR-E the microwave polarization difference index surface soil moisture regional scale vegetation traits multi-sensor approach wetland environmental monitoring remote sensing geostatistics gap-filling mesonet ESA CCI SM ASTER imagery soil moisture content thermal inertia model serial dual-source model surface component temperature shadow impact multi-model coupling optimal solution method ESA CCI residual soil moisture evapotranspiration trend rainfall variability CHIRPS theta probe Sentinel-1A NDVI modified Dubois model Sentinel-1/2 Landsat-8 GF-1 vegetation water content Oh Dubois IEM WCM SSRT SAR LAI wheat Sentinel-1 support vector machine ordinary least square regression time series Mongolia MODIS relative soil moisture Chinese Loess Plateau ATI TVDI thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Remote Sensing of Regional Soil Moisture |
| title | Remote Sensing of Regional Soil Moisture |
| title_full | Remote Sensing of Regional Soil Moisture |
| title_fullStr | Remote Sensing of Regional Soil Moisture |
| title_full_unstemmed | Remote Sensing of Regional Soil Moisture |
| title_short | Remote Sensing of Regional Soil Moisture |
| title_sort | remote sensing of regional soil moisture |
| topic | instrument development hyperspectral spectroradiometry LiDAR soil regional soil moisture in situ network AMSR2 FY3B evaluation EVI SST disaggregation soil moisture DISPATCH Intermediate spatial resolution SMAP geostationary validation SEVIRI thermal infrared land surface temperature downscaling advanced scatterometer (ASCAT) soil moisture active passive (SMAP) random forest low-cost sensor AMSR-E the microwave polarization difference index surface soil moisture regional scale vegetation traits multi-sensor approach wetland environmental monitoring remote sensing geostatistics gap-filling mesonet ESA CCI SM ASTER imagery soil moisture content thermal inertia model serial dual-source model surface component temperature shadow impact multi-model coupling optimal solution method ESA CCI residual soil moisture evapotranspiration trend rainfall variability CHIRPS theta probe Sentinel-1A NDVI modified Dubois model Sentinel-1/2 Landsat-8 GF-1 vegetation water content Oh Dubois IEM WCM SSRT SAR LAI wheat Sentinel-1 support vector machine ordinary least square regression time series Mongolia MODIS relative soil moisture Chinese Loess Plateau ATI TVDI thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | instrument development hyperspectral spectroradiometry LiDAR soil regional soil moisture in situ network AMSR2 FY3B evaluation EVI SST disaggregation soil moisture DISPATCH Intermediate spatial resolution SMAP geostationary validation SEVIRI thermal infrared land surface temperature downscaling advanced scatterometer (ASCAT) soil moisture active passive (SMAP) random forest low-cost sensor AMSR-E the microwave polarization difference index surface soil moisture regional scale vegetation traits multi-sensor approach wetland environmental monitoring remote sensing geostatistics gap-filling mesonet ESA CCI SM ASTER imagery soil moisture content thermal inertia model serial dual-source model surface component temperature shadow impact multi-model coupling optimal solution method ESA CCI residual soil moisture evapotranspiration trend rainfall variability CHIRPS theta probe Sentinel-1A NDVI modified Dubois model Sentinel-1/2 Landsat-8 GF-1 vegetation water content Oh Dubois IEM WCM SSRT SAR LAI wheat Sentinel-1 support vector machine ordinary least square regression time series Mongolia MODIS relative soil moisture Chinese Loess Plateau ATI TVDI thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20220224_9783036529578_137 |