Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine
文献类型：期刊论文
| 作者 | Singha, Mrinal4; Dong, Jinwei4; Sarmah, Sangeeta3; You, Nanshan4; Zhou, Yan4; Zhang, Geli2; Doughty, Russell1; Xiao, Xiangming1 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 166页码:278-293 |
| 关键词 | Flood Sentinel-1 SAR Google Earth Engine Bangladesh Sentinel-2 |
| ISSN号 | 0924-2716 |
| DOI | 10.1016/j.isprsjprs.2020.06.011 |
| 英文摘要 | Globally, flooding is the leading cause of natural disaster related deaths, especially in Bangladesh where approximately one third of national area gets flooded annually by overflowing rivers during the monsoon season, which drastically affects paddy rice agriculture and food security. However, existing studies on the pattern of floods and their impact on agriculture in Bangladesh are limited. Here we examined the spatiotemporal pattern of floods for the country during 2014-2018 using all the available Sentinel-1 Synthetic Aperture Radar (SAR) images and the Google Earth Engine (GEE) platform. We also identified the flood-affected paddy rice fields by integrating the flooding areas and remote sensing-based paddy rice planting areas. Our results indicate that flooding is frequent in northeastern Bangladesh and along the three major rivers, the Ganges, Brahmaputra, and Meghna. Between 2014 and 2018, the flood-affected paddy rice areas accounted for 1.61-18.17% of the total paddy rice area. The satellite-based detection of floods and flood-affected paddy rice fields advance our understanding of the annual dynamics of flooding in Bangladesh, which is essential for adaptation and mitigation strategies where severe annual floods threaten human lives, properties, and agricultural production. |
| WOS关键词 | SURFACE-WATER ; RESOLUTION ; EXTENT ; DYNAMICS ; AREAS |
| 资助项目 | National Natural Science Foundation of China[41871349] ; Key Research Program of Frontier Sciences[QYZDB-SSW-DQC005] ; Chinese Academy of Sciences (CAS)[XDA19040301] ; CAS President's International Fellowship Initiative (PIFI) |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000551268300022 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Key Research Program of Frontier Sciences ; Chinese Academy of Sciences (CAS) ; CAS President's International Fellowship Initiative (PIFI) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158308]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA 2.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Singha, Mrinal,Dong, Jinwei,Sarmah, Sangeeta,et al. Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2020,166:278-293. |
| APA | Singha, Mrinal.,Dong, Jinwei.,Sarmah, Sangeeta.,You, Nanshan.,Zhou, Yan.,...&Xiao, Xiangming.(2020).Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,166,278-293. |
| MLA | Singha, Mrinal,et al."Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 166(2020):278-293. |
入库方式： OAI收割
来源：地理科学与资源研究所
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