干旱区生态环境知识资源中心(Arid): A Practical Satellite-Derived Vegetation Drought Index for Arid and Semi-Arid Grassland Drought Monitoring

Arid

DOI	10.3390/rs13030414
	A Practical Satellite-Derived Vegetation Drought Index for Arid and Semi-Arid Grassland Drought Monitoring
	Chang, Sheng; Chen, Hong; Wu, Bingfang; Nasanbat, Elbegjargal; Yan, Nana; Davdai, Bulgan
通讯作者	Wu, BF (corresponding author), Chinese Acad Sci AIRCAS, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Olymp Village Sci Pk,W Beichen Rd, Beijing 100101, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:3
英文摘要	In semi-arid pasture areas, drought may directly influence livestock production, cause economic losses, and accelerate the processes of desertification along with destructive human activities (i.e., overgrazing). The aim of this article is to analyze the disadvantages of several drought indices derived from remote sensing data and develop a new vegetation drought index (VDI) for monitoring of grassland drought with high temporal frequency (dekad) and fine spatial resolution (1 km). The site-based soil moisture data from the field campaign in 2014 and the fenced biomass values at nine sites from 2000 to 2015 were adopted for validation. The results indicate that the proposed VDI would better reflect the extent, severity, and changes of drought compared with single drought indices or the vegetation health index (VHI); specifically, the VDI is more closely related to site-based soil moisture, with R human increasing to approximately 0.07 compared with the VHI; and with normalized fenced biomass (NFB) values, with average R human increasing to approximately 0.11 compared with the VHI. However, the correlations between VHI and VDI with NFB values are relatively lower in desert steppe regions. Furthermore, regional drought-affected data (RDA) are used to ensure spatial consistency of the evaluation; the VDI map is in good agreement with the RDA map based on field measurements. The presented VDI shows reliable and stable drought monitoring ability, which will play an important role in the future drought monitoring of inland grassland.
英文关键词	remote-sensing-derived indices VDI normalized fenced biomass spatial consistency grassland drought arid and semi-arid regions
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000615467500001
WOS关键词	SOIL-MOISTURE ; AGRICULTURAL DROUGHT ; GREAT-PLAINS ; WATER ; NDVI ; TEMPERATURE ; MONGOLIA ; AFRICA ; MODIS
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/2XILL650/348133
作者单位	[Chang, Sheng; Wu, Bingfang; Yan, Nana] Chinese Acad Sci AIRCAS, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Olymp Village Sci Pk,W Beichen Rd, Beijing 100101, Peoples R China; [Chen, Hong] China Aero Geophys Survey & Remote Sensing Ctr Na, Beijing 100083, Peoples R China; [Nasanbat, Elbegjargal; Davdai, Bulgan] Informat & Res Inst Meteorol Hydrol & Environm IR, Natl Remote Sensing Ctr, Ulaanbaatar 15160, Mongolia
推荐引用方式 GB/T 7714	Chang, Sheng,Chen, Hong,Wu, Bingfang,et al. A Practical Satellite-Derived Vegetation Drought Index for Arid and Semi-Arid Grassland Drought Monitoring[J],2021,13(3).
APA	Chang, Sheng,Chen, Hong,Wu, Bingfang,Nasanbat, Elbegjargal,Yan, Nana,&Davdai, Bulgan.(2021).A Practical Satellite-Derived Vegetation Drought Index for Arid and Semi-Arid Grassland Drought Monitoring.REMOTE SENSING,13(3).
MLA	Chang, Sheng,et al."A Practical Satellite-Derived Vegetation Drought Index for Arid and Semi-Arid Grassland Drought Monitoring".REMOTE SENSING 13.3(2021).