A Modified Temperature Vegetation Dryness Index (mTVDI) for Agricultural Drought Assessment Based on MODIS Data: A Case Study in Northeast China
文献类型：期刊论文
| 作者 | Dai, Rui; Chen, Shengbo3; Cao, Yijing2; Zhang, Yufeng; Xu, Xitong |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-04-01 |
| 卷号 | 15期号:7页码:1915 |
| 关键词 | drought monitoring multispectral vegetation dryness index (MVDI) modified temperature vegetation dryness index (mTVDI) Northeast China |
| DOI | 10.3390/rs15071915 |
| 文献子类 | Article |
| 英文摘要 | Satellite-based drought indices have been shown to be effective and convenient in detecting drought conditions. The temperature vegetation dryness index (TVDI) is one of the most frequently used drought indices; however, it is not suitable for areas with high fractional vegetation cover (FVC). In this study, a modified temperature vegetation dryness index (mTVDI) was constructed by using the multispectral vegetation dryness index (MVDI) proposed by a PROSAIL simulation and water stress experiments which was based on the theory of the TVDI and utilized MODIS data. Compared with the TVDI, the mTVDI presents a more triangular feature space, as well as obviously increased R-2 values for dry and wet edges (from 0.37-0.90 to 0.53-0.91 for dry edges and from 0.00-0.77 to 0.24-0.80 for wet edges). The mTVDI was evaluated using standardized precipitation evapotranspiration indices (SPEIs), precipitation, potential evapotranspiration (PET), and the crop water deficit index (CWDI), and the results confirmed that the mTVDI can better reflect the actual spatial changes, compared to the TVDI, under high FVC, as well as presenting an increased Pearson correlation coefficient (by 0.06-0.10) when compared with SPEIs. Moreover, the good performance of the mTVDI in major drought events indicates its reliability and accuracy for drought monitoring. Overall, the mTVDI is a reliable and accurate satellite-based dryness index suitable for high FVC conditions. |
| WOS关键词 | DIFFERENCE WATER INDEX ; SURFACE-TEMPERATURE ; LEAF ; REFLECTANCE ; CORN ; RED |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000968858700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200790]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Jilin Inst GF Remote Sensing Applicat, Changchun 130012, Peoples R China 3.Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dai, Rui,Chen, Shengbo,Cao, Yijing,et al. A Modified Temperature Vegetation Dryness Index (mTVDI) for Agricultural Drought Assessment Based on MODIS Data: A Case Study in Northeast China[J]. REMOTE SENSING,2023,15(7):1915. |
| APA | Dai, Rui,Chen, Shengbo,Cao, Yijing,Zhang, Yufeng,&Xu, Xitong.(2023).A Modified Temperature Vegetation Dryness Index (mTVDI) for Agricultural Drought Assessment Based on MODIS Data: A Case Study in Northeast China.REMOTE SENSING,15(7),1915. |
| MLA | Dai, Rui,et al."A Modified Temperature Vegetation Dryness Index (mTVDI) for Agricultural Drought Assessment Based on MODIS Data: A Case Study in Northeast China".REMOTE SENSING 15.7(2023):1915. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。