A Novel Index for Daily Flood Inundation Retrieval from CYGNSS Measurements
文献类型：期刊论文
| 作者 | Yang, Ting; Sun, Zhigang; Jiang, Lulu |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 15期号:2 |
| 关键词 | CYGNSS flood inundation ATFII VIIRS index |
| DOI | 10.3390/rs15020524 |
| 文献子类 | Article |
| 英文摘要 | Since flood inundation hampers human life and the economy, flood inundation retrieval with high temporal resolution and accuracy is essential for the projection of the environmental impact. In this study, a novel cyclone global navigation satellite system (CYGNSS)-based index, named the annual threshold flood inundation index (ATFII) for flood inundation retrieval, is proposed, and the grades of flood inundation are quantified. First, the CYGNSS surface reflectivity with land surface properties (i.e., vegetation and surface roughness) calibration is derived based on the zeroth-order radiative transfer model. Then, an index named ATFII is proposed to achieve inundation retrieval, and the inundation grades are classified. The results are validated with the Visible Infrared Imaging Radiometer Suite (VIIRS) flood product and GPM precipitation data. The validation results between ATFII and GPM precipitation indicate that the ATFII enables flood inundation retrieval at rapid timescales and quantifies the inundation variation grades. Likewise, for monthly results, the R value between the VIIRS flood product and ATFII varies from 0.51 to 0.64, with an acceptable significance level (p < 0.05). The study makes contributions in two aspects: (1) it provides an index-based method for mapping daily flood inundation on a large scale, with the advantages of fast speed and convenience, and (2) it provides a new way to derive inundation grade variations, which can help in studying the behavior of inundation in response to environmental impacts directly. |
| WOS关键词 | SOIL-MOISTURE ; REFLECTIVITY |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000927126000001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/189660]  |
| 专题 | 黄河三角洲现代农业工程实验室_外文论文 |
| 作者单位 | 1.Institute of Geographic Sciences & Natural Resources Research, CAS 2.Chinese Academy of Sciences 3.Sun Yat Sen University 4.University of Chinese Academy of Sciences, CAS |
| 推荐引用方式 GB/T 7714 | Yang, Ting,Sun, Zhigang,Jiang, Lulu. A Novel Index for Daily Flood Inundation Retrieval from CYGNSS Measurements[J]. REMOTE SENSING,2023,15(2). |
| APA | Yang, Ting,Sun, Zhigang,&Jiang, Lulu.(2023).A Novel Index for Daily Flood Inundation Retrieval from CYGNSS Measurements.REMOTE SENSING,15(2). |
| MLA | Yang, Ting,et al."A Novel Index for Daily Flood Inundation Retrieval from CYGNSS Measurements".REMOTE SENSING 15.2(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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