IEEE Geoscience and Remote Sensing Magazine - March 2022 - 315

Indian Ocean may have on the prevalence of desert locust
outbreaks in the future. Ensuring that the ongoing threat is
managed in a sustainable way will require insight into potential
risks within changing environments and the application
of the newest developments in remote sensing and ecological
modeling. Advances in cloud computing and open access to
high-quality and temporally substantial remote sensing data
will continue to expand the level of complexity that can be
captured by ecological models. Particularly for locusts, there
are opportunities within 3D feature space to model more
dynamic spatial characteristics of habitats and identify locations
where the vegetation composition may trigger the
gregarization phase. Further, by combining the strengths
of a well-trained DNN model with advances in agent-based
modeling, we will be able to move beyond simple correlative
relationships to capture a broader perspective of the interactions
at play between the species and its habitat.
ACKNOWLEDGMENTS
This work was supported, in part, by the Geospatial Institute,
Saint Louis University, and by NASA award 80NSSC20M0100.
AUTHOR INFORMATION
Kristen Rhodes (kristen.rhodes@slu.edu) is with the Geospatial
Institute and the Department of Earth and Atmospheric
Sciences, Saint Louis University, St. Louis, Missouri, 63108, USA.
Vasit Sagan (vasit.sagan@slu.edu) is with the Geospatial
Institute and the Department of Earth and Atmospheric Sciences,
Saint Louis University, St. Louis, Missouri, 63108, USA.
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