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The Gulf Coast communities and natural resources suffered extensive damage from the Deepwater Horizon oil spill, and they continue to be stressed by a myriad of factors including sea level rise, changing hydrology, and human activities like fishing and industry activities. The Gulf Research Program is funding research to protect the environmental resources of the Gulf of Mexico. Mississippi State University is leading the research effort on restoring coastal wetlands.
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Ag and Natural
Resources
A novel hyperspectral-based approach for identification of maize kernels infected with diverse Aspergillus flavus fung
Land use and land cover control on the spatial variation of dissolved organic matter across 41 lakes in Mississippi, USA
Torpedograss control via submersed applications of systemic and contact herbicides in mesocosms
Sensors and Modeling
Unmanned Aerial Systems
Remote Sensing of Wildfire Using SUAS: Post-fire Mapping, Vegetation Recovery and Damage Analysis in Grand Bay National Estuarine Research Reserve.
Application of Structure from Motion Techniques in Late-season Corn Damage (UAS)
Hydrometeorology
Variation in Dissolved Organic Matter, Trace Metals, and Acidification Parameters in the Western Mississippi Sound
Effect of Photo-biodegradation on Biogeochemical Cycling of Dissolved Organic Matter
Hydrological and Biogeochemical Controls of Seasonality in Dissolved Organic Matter Delivery to a Blackwater Estuary
Biological Sciences
Advection of Karenia Brevis Blooms: FL Panhandle/MS Bight-Sound
Research on the Performance of Tail-Water Recovery Systems to Alleviate Downstream Aquatic Systems
Using Spatial Variability in the Rate of Change of Chlorophyll a to Improve Water Quality Management in a Subtropical Oligotrophic Estuary

UAS Future in MS
UAS at MSU
Precision Ag
Mapping Deer Island
UAV Captures Beauty
UAS Research
UAS in Ag
UAS
Gulf Coast Efforts
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Recent Publications

Tao, F., Yao, H., Hruska, Z., & Rajasekaran, K. (2021). Evaluation of Fungal Contaminants in Agricultural Products by Hyperspectral Imaging. In Jiangbo Li, Zhao Zhang (Eds.), Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques. Bentham Science. 138-167. [Document Site]

Tao, F., Yao, H., Hruska, Z., Kincaid, R., Rajasekaran, K., & Bhatnagar, D. (2020). A Novel Hyperspectral-based Approach for Identification of Maize Kernels Infected with Diverse Aspergillus Flavus Fungi. Biosystems Engineering. 200, 415-430. [Document Site]

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William H. McAnally
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William H. Cooke
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