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Heather Reese is a Senior Lecturer at the University of Gothenburg, specializing in remote sensing in Subarctic and Arctic environments. Since joining the university in 2018, she has focused on vegetation types, changes, and permafrost, using various data sources including optical data from Sentinel-2 and Landsat, and 3D data from LiDAR and photogrammetry. She is committed to integrating data from drones and satellite platforms with field-based data. Heather has established the GU Drone Lab, overseeing the implementation of advanced drone technologies including Mavic 3M drones and Matrice drones, which facilitate her research and student training. Her current projects encompass mapping permafrost changes, habitat mapping for pollinators, and the thermal monitoring of forest fires. In her teaching, she combines machine learning principles with remote sensing applications, sharing her expertise in both undergraduate and PhD-level courses. Heather has collaborated on numerous operational projects requiring effective remote sensing methodologies, working alongside governmental agencies and consulting firms. Her future research interests include employing multi-scale remote sensing and spatial modeling to assess impacts of climate change on Arctic ecosystems.
University of Gothenburg • Gothenburg, Sweden
Teaching and conducting research in remote sensing and related fields.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).