Optical and Thermal Remote Sensing for Monitoring Agricultural Drought
By effectively observing the land surface and obtaining farmland conditions, satellite remote sensing has played an essential role in agricultural drought monitoring over past decades. Among all remote sensing techniques, optical and thermal remote sensing have the most extended history of being uti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/24/5092 |
| _version_ | 1797500981712257024 |
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| author | Qiming Qin Zihua Wu Tianyuan Zhang Vasit Sagan Zhaoxu Zhang Yao Zhang Chengye Zhang Huazhong Ren Yuanheng Sun Wei Xu Cong Zhao |
| author_facet | Qiming Qin Zihua Wu Tianyuan Zhang Vasit Sagan Zhaoxu Zhang Yao Zhang Chengye Zhang Huazhong Ren Yuanheng Sun Wei Xu Cong Zhao |
| author_sort | Qiming Qin |
| collection | DOAJ |
| description | By effectively observing the land surface and obtaining farmland conditions, satellite remote sensing has played an essential role in agricultural drought monitoring over past decades. Among all remote sensing techniques, optical and thermal remote sensing have the most extended history of being utilized in drought monitoring. The primary goal of this paper is to illustrate how optical and thermal remote sensing have been and will be applied in the monitoring, assessment, and prediction of agricultural drought. We group the methods into four categories: optical, thermal, optical and thermal, and multi-source. For each category, a concise explanation is given to show the inherent mechanisms. We pay special attention to solar-induced chlorophyll fluorescence, which has great potential in early drought detection. Finally, we look at the future directions of agricultural drought monitoring, including (1) early detection; (2) spatio-temporal resolution; (3) organic combination of multi-source data; and (4) smart prediction and assessment based on deep learning and cloud computing. |
| first_indexed | 2024-03-10T03:11:42Z |
| format | Article |
| id | doaj.art-859c81906eee4687a95d3fa3c91a94ec |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:11:42Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-859c81906eee4687a95d3fa3c91a94ec2023-11-23T10:24:42ZengMDPI AGRemote Sensing2072-42922021-12-011324509210.3390/rs13245092Optical and Thermal Remote Sensing for Monitoring Agricultural DroughtQiming Qin0Zihua Wu1Tianyuan Zhang2Vasit Sagan3Zhaoxu Zhang4Yao Zhang5Chengye Zhang6Huazhong Ren7Yuanheng Sun8Wei Xu9Cong Zhao10Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaDepartment of Earth and Atmospheric Sciences, Saint Louis University, Saint Louis, MO 63018, USAInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaKey Laboratory of Modern Percision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaBy effectively observing the land surface and obtaining farmland conditions, satellite remote sensing has played an essential role in agricultural drought monitoring over past decades. Among all remote sensing techniques, optical and thermal remote sensing have the most extended history of being utilized in drought monitoring. The primary goal of this paper is to illustrate how optical and thermal remote sensing have been and will be applied in the monitoring, assessment, and prediction of agricultural drought. We group the methods into four categories: optical, thermal, optical and thermal, and multi-source. For each category, a concise explanation is given to show the inherent mechanisms. We pay special attention to solar-induced chlorophyll fluorescence, which has great potential in early drought detection. Finally, we look at the future directions of agricultural drought monitoring, including (1) early detection; (2) spatio-temporal resolution; (3) organic combination of multi-source data; and (4) smart prediction and assessment based on deep learning and cloud computing.https://www.mdpi.com/2072-4292/13/24/5092agricultural drought monitoringoptical remote sensingthermal remote sensingdrought indicessolar-induced fluorescence |
| spellingShingle | Qiming Qin Zihua Wu Tianyuan Zhang Vasit Sagan Zhaoxu Zhang Yao Zhang Chengye Zhang Huazhong Ren Yuanheng Sun Wei Xu Cong Zhao Optical and Thermal Remote Sensing for Monitoring Agricultural Drought Remote Sensing agricultural drought monitoring optical remote sensing thermal remote sensing drought indices solar-induced fluorescence |
| title | Optical and Thermal Remote Sensing for Monitoring Agricultural Drought |
| title_full | Optical and Thermal Remote Sensing for Monitoring Agricultural Drought |
| title_fullStr | Optical and Thermal Remote Sensing for Monitoring Agricultural Drought |
| title_full_unstemmed | Optical and Thermal Remote Sensing for Monitoring Agricultural Drought |
| title_short | Optical and Thermal Remote Sensing for Monitoring Agricultural Drought |
| title_sort | optical and thermal remote sensing for monitoring agricultural drought |
| topic | agricultural drought monitoring optical remote sensing thermal remote sensing drought indices solar-induced fluorescence |
| url | https://www.mdpi.com/2072-4292/13/24/5092 |
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