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.
