MIGRATORY LOCUST HABITAT DETECTION

Abstract

Locust outbreaks have recently devastated agricultural and natural vegetation around the world, causing massive damage and compromising food security. Owing to exceptionally significant rainfall in desert locust habitats and a paucity of control because of political unrestness or unavailability of such ecosystems, huge amount of desert locust eruption and locust flocks travel over the Arabian Peninsula, East Africa, West India, and almost whole Pakistan. Because of weather pattern and personage activities, enormous range of locust presence in Pakistan happens to continually shifting. Monitoring and removing locust habitat is crucial for extensive-range farming output. The presence of locusts is directly related to their environment. Thorough examination of habitat characteristics which impacts locust durability is done to track locust habitation spread. Remote digital sensing is now one of the most demanded data sources in locust organization. This research delves into a model for analyzing multi-temporal MODIS imagery that includes more that one habitat elements to investigate locust habitation. The habitation elements that affect locust spawning and brood were studied, four habitat factors were chosen: vegetation coverage, soil moisture, soil salinity, and land surface temperature. The Analytic Hierarchy Process (AHP) methodology have been utilized to evaluate the weights of four habitat factors. Despite significant progress and deployment of current remote sensing roots, we highlight numerous flaws and areas for time ahead study to enhance our comprehension and capacity of remote digital sensing in locust epidemic scrutiny and control.