remote sensing Communication Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach W. Lee Ellenburg 1,2,* , Vikalp Mishra 1,2 , Jason B. Roberts 2, Ashutosh S. Limaye 2, Jonathan L. Case 3,4 , Clay B. Blankenship 4,5 and Keith Cressman 6 1 Earth System Science Center, The University of Alabama in Huntsville, 320 Sparkman Dr., Huntsville, AL 35805, USA;
[email protected] 2 NASA SERVIR Science Coordination Office, Marshall Space Flight Center, 320 Sparkman Dr., Huntsville, AL 35805, USA;
[email protected] (J.B.R.);
[email protected] (A.S.L.) 3 ENSCO, Inc., Huntsville, AL 35805, USA;
[email protected] 4 NASA Short-Term Prediction Research and Transition (SPoRT) Center, Marshall Space Flight Center, Huntsville, AL 35805, USA;
[email protected] 5 Universities Space Research Association, Huntsville, AL 35805, USA 6 United Nations Food and Agriculture Organization, 00153 Rome, Italy;
[email protected] * Correspondence:
[email protected] Abstract: The objective of this study is to evaluate the ability of soil physical characteristics (i.e., tex- ture and moisture conditions) to better understand the breeding conditions of desert locust (DL). Though soil moisture and texture are well-known and necessary environmental conditions for DL breeding, in this study, we highlight the ability of model-derived soil moisture estimates to contribute towards broader desert locust monitoring activities. We focus on the recent DL upsurge in East Africa from October 2019 though June 2020, utilizing known locust observations from the United Nations Citation: Ellenburg, W.L.; Mishra, V.; Food and Agriculture Organization (FAO).