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DOI10.1016/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
ISSN1364-8152
EISSN1873-6726
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
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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