A novel algorithm for monitoring reservoirs under all‐weather conditions at a high temporal resolution through passive microwave remote sensing
Abstract Flood mitigation in developing countries has been hindered by a lack of near real‐time reservoir storage information at high temporal resolution. By leveraging satellite passive microwave observations over a reservoir and its vicinity, we present a globally applicable new algorithm to estim...
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| Format: | Article |
| Language: | English |
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Wiley
2016-08-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1002/2016GL069560 |
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| author | Shuai Zhang Huilin Gao |
| author_facet | Shuai Zhang Huilin Gao |
| author_sort | Shuai Zhang |
| collection | DOAJ |
| description | Abstract Flood mitigation in developing countries has been hindered by a lack of near real‐time reservoir storage information at high temporal resolution. By leveraging satellite passive microwave observations over a reservoir and its vicinity, we present a globally applicable new algorithm to estimate reservoir storage under all‐weather conditions at a 4 day time step. A weighted horizontal ratio (WHR) based on the brightness temperatures at 36.5 GHz is introduced, with its coefficients calibrated against an area training data set over each reservoir. Using a predetermined area‐elevation (A‐H) relationship, these coefficients are then applied to the microwave data to calculate the storage. Validation results over four reservoirs in South Asia indicate that the microwave‐based storage estimations (after noise reduction) perform well (with coefficients of determination ranging from 0.41 to 0.74). This is the first time that passive microwave observations are fused with other satellite data for quantifying the storage of individual reservoirs. |
| format | Article |
| id | doaj-art-a5b6c15b3bb244829f3c631dd6bac7e2 |
| institution | OA Journals |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2016-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-a5b6c15b3bb244829f3c631dd6bac7e22025-08-20T01:51:54ZengWileyGeophysical Research Letters0094-82761944-80072016-08-0143158052805910.1002/2016GL069560A novel algorithm for monitoring reservoirs under all‐weather conditions at a high temporal resolution through passive microwave remote sensingShuai Zhang0Huilin Gao1Zachry Department of Civil Engineering Texas A&M University College Station Texas USAZachry Department of Civil Engineering Texas A&M University College Station Texas USAAbstract Flood mitigation in developing countries has been hindered by a lack of near real‐time reservoir storage information at high temporal resolution. By leveraging satellite passive microwave observations over a reservoir and its vicinity, we present a globally applicable new algorithm to estimate reservoir storage under all‐weather conditions at a 4 day time step. A weighted horizontal ratio (WHR) based on the brightness temperatures at 36.5 GHz is introduced, with its coefficients calibrated against an area training data set over each reservoir. Using a predetermined area‐elevation (A‐H) relationship, these coefficients are then applied to the microwave data to calculate the storage. Validation results over four reservoirs in South Asia indicate that the microwave‐based storage estimations (after noise reduction) perform well (with coefficients of determination ranging from 0.41 to 0.74). This is the first time that passive microwave observations are fused with other satellite data for quantifying the storage of individual reservoirs.https://doi.org/10.1002/2016GL069560remote sensingreservoir storagepassive microwave |
| spellingShingle | Shuai Zhang Huilin Gao A novel algorithm for monitoring reservoirs under all‐weather conditions at a high temporal resolution through passive microwave remote sensing Geophysical Research Letters remote sensing reservoir storage passive microwave |
| title | A novel algorithm for monitoring reservoirs under all‐weather conditions at a high temporal resolution through passive microwave remote sensing |
| title_full | A novel algorithm for monitoring reservoirs under all‐weather conditions at a high temporal resolution through passive microwave remote sensing |
| title_fullStr | A novel algorithm for monitoring reservoirs under all‐weather conditions at a high temporal resolution through passive microwave remote sensing |
| title_full_unstemmed | A novel algorithm for monitoring reservoirs under all‐weather conditions at a high temporal resolution through passive microwave remote sensing |
| title_short | A novel algorithm for monitoring reservoirs under all‐weather conditions at a high temporal resolution through passive microwave remote sensing |
| title_sort | novel algorithm for monitoring reservoirs under all weather conditions at a high temporal resolution through passive microwave remote sensing |
| topic | remote sensing reservoir storage passive microwave |
| url | https://doi.org/10.1002/2016GL069560 |
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