Bernard Adusei Senior Faculty Specialist bernard.adusei37@gmail.com Use multisource satellite remotely sensed imagery for land-use and land-cover characterization especially field crops (soybean, corn, and wheat) at national scale. Projects: Researcher Commodity Crop Mapping and Monitoring in South America Quantifying Spatio-Temporal Trends in the Expansion of South American Agriculture, 1985 to Present Evaluating Landsat And Rapid Eye Data for Winter Wheat Mapping And Area Estimation, Soy Yield Field To National Multi-resolution quantification and driver assessment of hot spots of global forest disturbance Supporting National Forest Monitoring Programs Publications: Li, H., Song, X.-P., Adusei, B., Pickering, J., Lima, A., Poulson, A., Baggett, A., Potapov, P., Khan, A., Zalles, V., Hernandez-Serna, A., Jantz, S. M., Pickens, A. H., Ortiz-Dominguez, C., Li, X., Kerr, T., Song, Z., Turubanova, S., Bongwele, E., Kondjo, H. K., Komarova, A., Stehman, S. V., and Hansen, M. C. (2025, preprint, in review) An Accurate 10 m Annual Crop Map Product of Maize and Soybean Across the United States, Earth Syst. Sci. Data Discuss. Li, H., Song, X. P., Hansen, M. C., Becker-Reshef, I., Adusei, B., Pickering, J., Wang, L., Wang, L., Lin, Z., Zalles, V., Potapov, P., Stehman, S.V., & Justice, C. (2023). Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation. Remote Sensing of Environment, 294, 113623. Khan, A., Hansen, M.C., Potapov, P.V., Adusei, B., Stehman, S.V., Steininger, M.K. (2021) An operational automated mapping algorithm for in-season estimation of wheat area for Punjab, Pakistan. International Journal of Remote Sensing, 42(10), 3833-3849. Pagination 1 2 3 … Next Next page » Last page