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DOI | 10.1016/j.envsoft.2023.105629 |
A comprehensive drought index based on remote sensing data and nested copulas for monitoring meteorological and agroecological droughts: A case study on the Qinghai-Tibet Plateau | |
Cheng, Yujia; Zhang, Ke; Chao, Lijun; Shi, Wuzhi; Feng, Jin; Li, Yunping | |
发表日期 | 2023 |
ISSN | 1364-8152 |
EISSN | 1873-6726 |
卷号 | 161 |
英文摘要 | This study proposes a new comprehensive remote sensing drought index (CRSDI) based on the nested copulas of remotely sensed precipitation, vegetation index, and land surface temperature that represent water availability, vegetation health, and disturbance impact, respectively, for monitoring meteorological and agroecological droughts. The Qinghai-Tibet Plateau (QTP) is chosen as a case study to test the CRSDI and investigate drought changes and their impacts on vegetation. The results show that CRSDI can effectively monitor the propagation processes and characteristics of meteorological and agroecological droughts. Drought conditions on the QTP are overall relieved from 2000 to 2020, while these changes show an apparent spatial variability, with a general drying (wetting) trend in the north (south). Moreover, vegetation response to drought is different among different vegetation types, with shrubland having a stronger response, followed by cropland, grassland, and forestland. Clearly, CRSDI is valuable for large-scale drought monitoring and assessment. |
关键词 | DroughtComprehensive drought indexRemote sensingSpatiotemporal variationVegetation sensitivity |
英文关键词 | DEFICIT INDEX; CHINA; IMPACTS |
WOS研究方向 | Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences ; Water Resources |
WOS记录号 | WOS:000923569300001 |
来源期刊 | ENVIRONMENTAL MODELLING & SOFTWARE
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/283283 |
作者单位 | Hohai University; Hohai University; Hohai University; Hohai University; China Meteorological Administration; Hohai University |
推荐引用方式 GB/T 7714 | Cheng, Yujia,Zhang, Ke,Chao, Lijun,et al. A comprehensive drought index based on remote sensing data and nested copulas for monitoring meteorological and agroecological droughts: A case study on the Qinghai-Tibet Plateau[J],2023,161. |
APA | Cheng, Yujia,Zhang, Ke,Chao, Lijun,Shi, Wuzhi,Feng, Jin,&Li, Yunping.(2023).A comprehensive drought index based on remote sensing data and nested copulas for monitoring meteorological and agroecological droughts: A case study on the Qinghai-Tibet Plateau.ENVIRONMENTAL MODELLING & SOFTWARE,161. |
MLA | Cheng, Yujia,et al."A comprehensive drought index based on remote sensing data and nested copulas for monitoring meteorological and agroecological droughts: A case study on the Qinghai-Tibet Plateau".ENVIRONMENTAL MODELLING & SOFTWARE 161(2023). |
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