Amy Hudson Pickens Assistant Research Professor ahudson2@terpmail.umd.edu Dr. Pickens is responsible for annual updates of her global surface water map (Pickens et al., 2020). Amy has also developed a method for mapping global seasonal dynamics of inland open water and ice (Pickens et al., 2022). At the same time, she has been maintaining, updating and further developing operational near-real-time forest alerts (Hansen et al., 2016). Specifically, she has rebuild the original Landsat-based model and expanded it to the entire pan-tropical region, and created a new model for the Amazon Basin based on Sentinel-2 data. Both Amy’s forest alert products are available as a part of the integrated forest alert product on the Global Forest Watch portal. Most recently Dr. Pickens has been leading the production of the new near-real-time vegetation disturbance alert (DIST-alert) product based on the Harmonized Landsat Sentinel-2 (HLS) data, which is a part of the NASA JPL’s Observational Products for End-Users from Remote Sensing Analysis (OPERA) project. The provisional version of the dataset is available from the USGS LP DAAC, with the publication in preparation. Projects: CO Investigator Global Land Cover and Land Use Monitoring in Support of Environmental Sustainability Global Land Disturbance mapping for JPL OPERA (Observational Products for End-Users from Remote Sensing Analysis) Projects: Researcher Global Forest Watch Support of SilvaCarbon activities in Bangladesh A Near-Real Time Integrated Mapping and Reporting System for Critical Biodiversity Sites Under Sustainable Development Goal 15: The Tiger as Model Research on Mapping Forest Cover Change in Three Tropical Countries Publications: Moffette, F., Alix-Garcia, J., Shea, K., Pickens, A. (2021) The impact of near-real-time deforestation alerts across the tropics. Nature Climate Change Reiche, J., Mullissa, A., Slagter, B., Gou, Y., Tsendbazar, N. E., Odongo-Braun, C., ... & Herold, M. (2021). Forest disturbance alerts for the Congo Basin using Sentinel-1. Environmental Research Letters, 16(2), 024005. Potapov, P., Li, X., Hernandez-Serna, A., Tyukavina, A., Hansen, M., Kommareddy, A., Pickens, A., Turubanova, A., Tang, H., Silva, C.E., Armston, J., Dubayah, R., Blair, J.B., Hofton, M. (2020) Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment, 112165. Pagination « First page Prev Previous page … 3 4 5 … Next Next page » Last page