干旱区生态环境知识资源中心(Arid): A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study

Arid

DOI	10.3390/rs15092218
	A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study
	Qazvini, Adel Taheri; Carrion, Daniela
通讯作者	Carrion, D
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:9
英文摘要	Drought is a major problem in the world and has become more severe in recent decades, especially in arid and semi-arid regions. In this study, a Google Earth Engine (GEE) app has been implemented to monitor spatiotemporal drought conditions over different climatic regions. The app allows every user to perform analysis over a region and for a period of their choice, benefiting from the huge GEE dataset of free and open data as well as from its fast cloud-based computation. The app implements the scaled drought condition index (SDCI), which is a combination of three indices: the vegetation condition index (VCI), temperature condition index (TCI), and precipitation condition index (PCI), derived or calculated from satellite imagery data through the Google Earth Engine platform. The De Martonne climate classification index has been used to derive the climate region; within each region the indices have been computed separately. The test case area is over Iran, which shows a territory with high climate variability, where drought has been explored for a period of 11 years (from 2010 to 2021) allowing us to cover a reasonable time series with the data available in the Google Earth Engine. The developed tool allowed the singling-out of drought events over each climate, offering both the spatial and temporal representation of the phenomenon and confirming results found in local and global reports.
英文关键词	Google Earth Engine drought remote sensing De Martonne aridity index scaled drought condition index
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000987748200001
WOS关键词	MARTONNE ARIDITY INDEX ; AGRICULTURAL DROUGHT ; WATER ; TEMPERATURE ; INDICATOR ; REGIONS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398263
推荐引用方式 GB/T 7714	Qazvini, Adel Taheri,Carrion, Daniela. A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study[J],2023,15(9).
APA	Qazvini, Adel Taheri,&Carrion, Daniela.(2023).A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study.REMOTE SENSING,15(9).
MLA	Qazvini, Adel Taheri,et al."A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study".REMOTE SENSING 15.9(2023).