干旱区生态环境知识资源中心(Arid): Assessment of a Spatially and Temporally Consistent MODIS Derived NDVI Product for Application in Index-Based Drought Insurance

Arid

DOI	10.3390/rs12183031
	Assessment of a Spatially and Temporally Consistent MODIS Derived NDVI Product for Application in Index-Based Drought Insurance
	Miller, Sara E.; Adams, Emily C.; Markert, Kel N.; Ndungu, Lilian; Ellenburg, W. Lee; Anderson, Eric R.; Kyuma, Richard; Limaye, Ashutosh; Griffin, Robert; Irwin, Daniel
通讯作者	Miller, SE
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:18
英文摘要	In arid and semi-arid regions of Eastern and Southern Africa, drought can be devastating to pastoralists who depend on healthy vegetation for their herds. The Kenya Livestock Insurance Program (KLIP) addresses this challenge through its insurance program that relies on a vegetation index product derived from eMODIS NDVI (enhanced Normalized Difference Vegetation Index). Insurance payouts are triggered when index values fall below a certain threshold for a Unit Area of Insurance (UAI). The objective of this study is to produce an updated, cloud-based NDVI product, potentially allowing for earlier payouts that may help herders to prevent, minimize, or offset drought-induced losses. The new product, named reNDVI (rapid enhanced NDVI), provides an updated cloud filtering algorithm and brings the entire processing chain to the cloud. Access to the scripts used for the processing described and resulting data is openly available. To test the performance of the new product, we provide a robust evaluation of reNDVI and eMODIS NDVI and their derived payout indices against historical drought, payouts provided, and mortality data. The implications of potential payout differences are also discussed. The products show good comparability; the monthly average NDVI per UAI has correlation values over 0.95 and MAPD under 5% for most UAIs. However, there are moderate differences when assessing year-to-year payout amounts triggered. Because the payouts are currently calculated based on the 20th and first percentile of index values from 2003-2016, payouts are very sensitive to even small changes in NDVI. Where livestock mortality was available, payouts for reNDVI and eMODIS had similar correlations (r = 0.453 and r = 0.478, respectively) with mortality rates. Therefore, with the potential reduced latency and updated cloud filtering, the reNDVI product could be a suitable replacement for eMODIS in the Kenya Livestock Insurance Program. The updated reNDVI product shows promise as a vegetation index that could address a pressing drought insurance challenge.
英文关键词	NDVI Kenya index-based insurance livestock
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000579997900001
WOS关键词	ADAPTING AGRICULTURE ; CLIMATE-CHANGE ; VEGETATION ; KENYA
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/2XILL650/326925
作者单位	[Miller, Sara E.; Griffin, Robert] Univ Alabama, Dept Atmospher Sci, 320 Sparkman Dr, Huntsville, AL 35805 USA; [Miller, Sara E.; Adams, Emily C.; Markert, Kel N.; Ellenburg, W. Lee; Anderson, Eric R.; Griffin, Robert] NASA, SERVIR Sci Coordinat Off, Marshall Space Flight Ctr, 320 Sparkman Dr, Huntsville, AL 35805 USA; [Adams, Emily C.; Markert, Kel N.; Ellenburg, W. Lee; Anderson, Eric R.; Griffin, Robert] Univ Alabama, Earth Syst Sci Ctr, 320 Sparkman Dr, Huntsville, AL 35805 USA; [Ndungu, Lilian] Reg Ctr Mapping Resources Dev, Nairobi 00618, Kenya; [Kyuma, Richard] Kenya Minist Agr Livestock Fisheries & Irrigat, POB 30028-00100,Cathedral Rd, Nairobi 00100, Kenya; [Limaye, Ashutosh; Irwin, Daniel] Marshall Space Flight Ctr, Earth Sci Branch, 320 Sparkman Dr, Huntsville, AL 35805 USA
推荐引用方式 GB/T 7714	Miller, Sara E.,Adams, Emily C.,Markert, Kel N.,et al. Assessment of a Spatially and Temporally Consistent MODIS Derived NDVI Product for Application in Index-Based Drought Insurance[J],2020,12(18).
APA	Miller, Sara E..,Adams, Emily C..,Markert, Kel N..,Ndungu, Lilian.,Ellenburg, W. Lee.,...&Irwin, Daniel.(2020).Assessment of a Spatially and Temporally Consistent MODIS Derived NDVI Product for Application in Index-Based Drought Insurance.REMOTE SENSING,12(18).
MLA	Miller, Sara E.,et al."Assessment of a Spatially and Temporally Consistent MODIS Derived NDVI Product for Application in Index-Based Drought Insurance".REMOTE SENSING 12.18(2020).