干旱区生态环境知识资源中心(Arid): Migratory Locust Habitat Analysis With PB-AHP Model Using Time-Series Satellite Images

Arid

DOI	10.1109/ACCESS.2020.3023264
	Migratory Locust Habitat Analysis With PB-AHP Model Using Time-Series Satellite Images
	Geng, Yun; Zhao, Longlong; Dong, Yingying; Huang, Wenjiang; Shi, Yue; Ren, Yu; Ren, Binyuan
通讯作者	Huang, WJ
来源期刊	IEEE ACCESS
ISSN	2169-3536
出版年	2020
卷号	8 页码:166813-166823
英文摘要	The outbreak of Oriental Migratory Locust(Locusta migratoria manilensis) causes devastating disasters to agriculture. With the impact of climate changes and human activities, the distribution of locust habitat (locust habitat is the environment in which locusts live and survive) in China is constantly changing. Monitoring and extracting locust habitat are of great significance for guiding large-scale agricultural production. The occurrence of the locust is closely related to their habitat. Therefore, a comprehensive analysis of habitat factors that affect locust survival is carried out to monitor locust habitat distribution. Besides, the landscape structure also affects distribution. This study explored a model for analyzing multi-temporal Landsat and MODIS images, which combined multiple habitat factors and landscape structure to analyze locust habitat. The locust habitat near North Dagang Reservoir in Tianjin is the research object. First, the habitat factors that affect locust oviposition and growth were analyzed, and vegetation coverage, land cover class, soil moisture, soil salinity, and land surface temperature were selected as five habitat factors. The weights of five habitat factors were evaluated according to the Analytic Hierarchy Process (AHP) model. Then, considering the impact of landscape structure on locust habitat, a moving-window was used to correlate locust habitat factors at pixel scale with locust habitat at patch scale. Finally, the distribution map of the locust habitat at patch scale was generated. The Analytic Hierarchy Process(AHP) was used to compare and test the results. Our research shows that the Patch based - Analytic Hierarchy Process (PB-AHP) can monitor locust habitat. The overall accuracy reached 88%, which is 10% higher than the result based on the Analytic Hierarchy Process(AHP). These results show that the Patch based - Analytic Hierarchy Process (PB-AHP) model has strong robustness and generalization ability in identifying locust habitat and can provide scientific guidance for locust monitoring and control.
英文关键词	Remote sensing Monitoring Vegetation mapping Artificial satellites Earth MODIS Analytical models Locust habitat landscape patch based analytic hierarchy process (PB-AHP) remote sensing
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:000573097700001
WOS关键词	LAND-COVER CLASSIFICATION ; DESERT LOCUST ; RANDOM FORESTS ; CHINA ; ORTHOPTERA ; DELTA ; UNCERTAINTY ; ACRIDIDAE ; PLAIN
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Computer Science ; Engineering ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326526
作者单位	[Geng, Yun; Dong, Yingying; Huang, Wenjiang; Ren, Yu] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China; [Geng, Yun; Ren, Yu] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China; [Zhao, Longlong] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China; [Shi, Yue] Manchester Metropolitan Univ, Dept Comp & Math, Manchester M1 5GD, Lancs, England; [Ren, Binyuan] Natl Agr Technol Extens & Serv Ctr, Beijing 100125, Peoples R China
推荐引用方式 GB/T 7714	Geng, Yun,Zhao, Longlong,Dong, Yingying,et al. Migratory Locust Habitat Analysis With PB-AHP Model Using Time-Series Satellite Images[J],2020,8:166813-166823.
APA	Geng, Yun.,Zhao, Longlong.,Dong, Yingying.,Huang, Wenjiang.,Shi, Yue.,...&Ren, Binyuan.(2020).Migratory Locust Habitat Analysis With PB-AHP Model Using Time-Series Satellite Images.IEEE ACCESS,8,166813-166823.
MLA	Geng, Yun,et al."Migratory Locust Habitat Analysis With PB-AHP Model Using Time-Series Satellite Images".IEEE ACCESS 8(2020):166813-166823.