Migratory Locust Habitat Analysis With PB-AHP Model Using Time-Series Satellite Images

• Published in: IEEE access Vol. 8; pp. 166813 - 166823
• Main Authors: Geng, Yun, Zhao, Longlong, Dong, Yingying, Huang, Wenjiang, Shi, Yue, Ren, Yu, Ren, Binyuan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Agricultural production; Analytic hierarchy process; Analytical models; Artificial satellites; Climate change; Earth; Hierarchies; Human influences; Land cover; Land surface temperature; Landsat satellites; Landscape; Locust habitat; Locusts; Mathematical analysis; MODIS; Monitoring; patch based - analytic hierarchy process (PB-AHP); Remote sensing; Satellite imagery; Soil moisture; Soils; Vegetation mapping
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3023264

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.