Remote Sensing of Evapotranspiration (ET)
Evapotranspiration (ET) is a critical component of the water and energy balances, and the number of remote sensing-based ET products and estimation methods has increased in recent years. Various aspects of remote sensing of ET are reported in the 11 papers published in this book. The major research...
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| Định dạng: | Online |
| Ngôn ngữ: | Tiếng Anh |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Truy cập trực tuyến: | 42570 |
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| _version_ | 1869518112831832064 |
|---|---|
| author | Gowda, Prasanna Wagle, Pradeep |
| author_browse | Gowda, Prasanna Wagle, Pradeep |
| author_facet | Gowda, Prasanna Wagle, Pradeep |
| author_sort | Gowda, Prasanna |
| collection | Directory of Open Access Books |
| description | Evapotranspiration (ET) is a critical component of the water and energy balances, and the number of remote sensing-based ET products and estimation methods has increased in recent years. Various aspects of remote sensing of ET are reported in the 11 papers published in this book. The major research areas covered by this book include inter-comparison and performance evaluation of widely used one- and two-source energy balance models, a new dual-source model (Soil Plant Atmosphere and Remote Sensing Evapotranspiration, SPARSE), and a process-based model (ETMonitor); assessment of multi-source (e.g., remote sensing, reanalysis, and land surface model) ET products; development or improvement of data fusion frameworks to predict continuous daily ET at a high spatial resolution (field-scale or 30 m) by fusing the advanced spaceborne thermal emission reflectance radiometer (ASTER), the moderate resolution imaging spectroradiometer (MODIS), and Landsat data; and investigating uncertainties in ET estimates using an ET ensemble composed of several land surface models and diagnostic datasets. The effects of the differences between ET products on water resources and ecosystem management were also investigated. More accurate ET estimates and improved understanding of remotely sensed ET products are crucial for maximizing crop productivity while minimizing water losses and management costs. |
| format | Online |
| id | doab-20.500.12854ir-58175 |
| 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-581752024-04-11T15:10:45Z Remote Sensing of Evapotranspiration (ET) Gowda, Prasanna Wagle, Pradeep TP248.13-248.65 T1-995 Eddy-covariance surface energy balance model evapotranspiration Oklahoma Mesonet Chi river basin SADFAET a stratification method ecosystem management process-based model heterogeneous conditions land surface temperature ETMonitor model latent heat flux multi-source water resources management remote sensing ET fusion Google Earth Engine water stress component temperature decomposition data fusion Mun river basin Murrumbidgee River catchment remote-sensing Thailand uncertainty field-scale partition land surface model two-source energy balance model Surface Energy Balance System China evapotranspiration partitioning yield calibration unmixing-based method Landsat 8 eddy covariance observations METRIC MODIS surface energy balance algorithm for land (SEBAL) West Africa MPDI-integrated SEBS STARFM multi-source satellite data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology Evapotranspiration (ET) is a critical component of the water and energy balances, and the number of remote sensing-based ET products and estimation methods has increased in recent years. Various aspects of remote sensing of ET are reported in the 11 papers published in this book. The major research areas covered by this book include inter-comparison and performance evaluation of widely used one- and two-source energy balance models, a new dual-source model (Soil Plant Atmosphere and Remote Sensing Evapotranspiration, SPARSE), and a process-based model (ETMonitor); assessment of multi-source (e.g., remote sensing, reanalysis, and land surface model) ET products; development or improvement of data fusion frameworks to predict continuous daily ET at a high spatial resolution (field-scale or 30 m) by fusing the advanced spaceborne thermal emission reflectance radiometer (ASTER), the moderate resolution imaging spectroradiometer (MODIS), and Landsat data; and investigating uncertainties in ET estimates using an ET ensemble composed of several land surface models and diagnostic datasets. The effects of the differences between ET products on water resources and ecosystem management were also investigated. More accurate ET estimates and improved understanding of remotely sensed ET products are crucial for maximizing crop productivity while minimizing water losses and management costs. 2021-02-12T01:47:56Z 2021-02-12T01:47:56Z 2019-12-09 11:49:15 2019 book 42570 9783039216031 9783039216024 https://directory.doabooks.org/handle/20.500.12854/58175 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1661 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-603-1 10.3390/books978-3-03921-603-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039216031 9783039216024 240 open access |
| spellingShingle | TP248.13-248.65 T1-995 Eddy-covariance surface energy balance model evapotranspiration Oklahoma Mesonet Chi river basin SADFAET a stratification method ecosystem management process-based model heterogeneous conditions land surface temperature ETMonitor model latent heat flux multi-source water resources management remote sensing ET fusion Google Earth Engine water stress component temperature decomposition data fusion Mun river basin Murrumbidgee River catchment remote-sensing Thailand uncertainty field-scale partition land surface model two-source energy balance model Surface Energy Balance System China evapotranspiration partitioning yield calibration unmixing-based method Landsat 8 eddy covariance observations METRIC MODIS surface energy balance algorithm for land (SEBAL) West Africa MPDI-integrated SEBS STARFM multi-source satellite data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology Gowda, Prasanna Wagle, Pradeep Remote Sensing of Evapotranspiration (ET) |
| title | Remote Sensing of Evapotranspiration (ET) |
| title_full | Remote Sensing of Evapotranspiration (ET) |
| title_fullStr | Remote Sensing of Evapotranspiration (ET) |
| title_full_unstemmed | Remote Sensing of Evapotranspiration (ET) |
| title_short | Remote Sensing of Evapotranspiration (ET) |
| title_sort | remote sensing of evapotranspiration et |
| topic | TP248.13-248.65 T1-995 Eddy-covariance surface energy balance model evapotranspiration Oklahoma Mesonet Chi river basin SADFAET a stratification method ecosystem management process-based model heterogeneous conditions land surface temperature ETMonitor model latent heat flux multi-source water resources management remote sensing ET fusion Google Earth Engine water stress component temperature decomposition data fusion Mun river basin Murrumbidgee River catchment remote-sensing Thailand uncertainty field-scale partition land surface model two-source energy balance model Surface Energy Balance System China evapotranspiration partitioning yield calibration unmixing-based method Landsat 8 eddy covariance observations METRIC MODIS surface energy balance algorithm for land (SEBAL) West Africa MPDI-integrated SEBS STARFM multi-source satellite data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology |
| topic_facet | TP248.13-248.65 T1-995 Eddy-covariance surface energy balance model evapotranspiration Oklahoma Mesonet Chi river basin SADFAET a stratification method ecosystem management process-based model heterogeneous conditions land surface temperature ETMonitor model latent heat flux multi-source water resources management remote sensing ET fusion Google Earth Engine water stress component temperature decomposition data fusion Mun river basin Murrumbidgee River catchment remote-sensing Thailand uncertainty field-scale partition land surface model two-source energy balance model Surface Energy Balance System China evapotranspiration partitioning yield calibration unmixing-based method Landsat 8 eddy covariance observations METRIC MODIS surface energy balance algorithm for land (SEBAL) West Africa MPDI-integrated SEBS STARFM multi-source satellite data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology |
| url | 42570 |
| work_keys_str_mv | AT gowdaprasanna remotesensingofevapotranspirationet AT waglepradeep remotesensingofevapotranspirationet |