Harnessing machine learning techniques for mapping aquaculture waterbodies in Bangladesh H Ferriby, AP Nejadhashemi, JS Hernandez-Suarez, N Moore, J Kpodo, ... Remote Sensing 13 (23), 4890, 2021 | 10 | 2021 |
Assessing potential of the Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) for water quality monitoring across the coastal United States BA Schaeffer, P Whitman, R Vandermeulen, C Hu, A Mannino, J Salisbury, ... Marine Pollution Bulletin 196, 115558, 2023 | 2 | 2023 |
Forecasting freshwater cyanobacterial harmful algal blooms for Sentinel-3 satellite resolved US lakes and reservoirs BA Schaeffer, N Reynolds, H Ferriby, W Salls, D Smith, JM Johnston, ... Journal of Environmental Management 349, 119518, 2024 | | 2024 |
Harnessing Machine Learning to Estimate Aquaculture’s Contributions to the Economy of Southwest Bangladesh B Belton, MM Haque, H Ali, AP Nejadhashemi, R Hernández, ... | | 2022 |
Performance of Sentinel-1 and 2 imagery in detecting aquaculture waterbodies in Bangladesh JS Hernandez-Suarez, AP Nejadhashemi, H Ferriby, N Moore, B Belton, ... Environmental Modelling & Software 157, 105534, 2022 | | 2022 |
Chile Disasters: Automating Wildfire Risk and Occurrence Mapping in Google Earth Engine to Improve Wildfire Detection and Response Time Efforts M De Los Santos, C Campbell, K Alvarez, H Ferriby | | 2022 |
Harnessing Machine Learning Techniques for Large-Scale Mapping of Inland Aquaculture Waterbodies in Bangladesh H Ferriby Michigan State University, 2021 | | 2021 |