干旱区生态环境知识资源中心(Arid): Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach

Arid

DOI	10.3390/rs13071276
	Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach
	Ellenburg, W. Lee; Mishra, Vikalp; Roberts, Jason B.; Limaye, Ashutosh S.; Case, Jonathan L.; Blankenship, Clay B.; Cressman, Keith
通讯作者	Ellenburg, WL (corresponding author), Univ Alabama, Earth Syst Sci Ctr, 320 Sparkman Dr, Huntsville, AL 35805 USA. ; Ellenburg, WL (corresponding author), NASA, Marshall Space Flight Ctr, SERVIR Sci Coordinat Off, 320 Sparkman Dr, Huntsville, AL 35805 USA.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:7
英文摘要	The objective of this study is to evaluate the ability of soil physical characteristics (i.e., texture and moisture conditions) to better understand the breeding conditions of desert locust (DL). Though soil moisture and texture are well-known and necessary environmental conditions for DL breeding, in this study, we highlight the ability of model-derived soil moisture estimates to contribute towards broader desert locust monitoring activities. We focus on the recent DL upsurge in East Africa from October 2019 though June 2020, utilizing known locust observations from the United Nations Food and Agriculture Organization (FAO). We compare this information to results from the current literature and combine the two datasets to create optimal thresholds of breeding conditions. When considering the most optimal conditions (all thresholds met), the soil texture combined with modeled soil moisture content predicted the estimated DL egg-laying period 62.5% of the time. Accounting for the data errors and uncertainties, a 3 x 3 pixel buffer increased this to 85.2%. By including soil moisture, the areas of optimal egg laying conditions decreased from 33% to less than 20% on average.
英文关键词	desert locust soil moisture modeling
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:000638786300001
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/2XILL650/351505
作者单位	[Ellenburg, W. Lee; Mishra, Vikalp] Univ Alabama, Earth Syst Sci Ctr, 320 Sparkman Dr, Huntsville, AL 35805 USA; [Ellenburg, W. Lee; Mishra, Vikalp; Roberts, Jason B.; Limaye, Ashutosh S.] NASA, Marshall Space Flight Ctr, SERVIR Sci Coordinat Off, 320 Sparkman Dr, Huntsville, AL 35805 USA; [Case, Jonathan L.] ENSCO Inc, Huntsville, AL 35805 USA; [Case, Jonathan L.; Blankenship, Clay B.] NASA, Marshall Space Flight Ctr, Short Term Predict Res & Transit SPoRT Ctr, Huntsville, AL 35805 USA; [Blankenship, Clay B.] Univ Space Res Assoc, Huntsville, AL 35805 USA; [Cressman, Keith] United Nat Food & Agr Org, I-00153 Rome, Italy
推荐引用方式 GB/T 7714	Ellenburg, W. Lee,Mishra, Vikalp,Roberts, Jason B.,et al. Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach[J],2021,13(7).
APA	Ellenburg, W. Lee.,Mishra, Vikalp.,Roberts, Jason B..,Limaye, Ashutosh S..,Case, Jonathan L..,...&Cressman, Keith.(2021).Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach.REMOTE SENSING,13(7).
MLA	Ellenburg, W. Lee,et al."Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach".REMOTE SENSING 13.7(2021).