These AI and satellite mapping techniques are speeding up the process of disaster management
Scientists are now able to automate disaster mapping and provide full coverage of an entire state as soon as the satellite data is released, here's how.
I am an Assistant Professor in the Department of Natural Resources and the Environment at the University of Connecticut, Storrs, CT. My research interests include Remote Sensing, Particularly of Forests, Urban, and Clouds; Land Cover and Land Use Change; Time Series Analysis; Digital Image Processing; and Climate Change.
I am selected as the USGS-NASA Landsat Science Team Member (2018-2023) and EROS CalVal Center of Excellence (ECCOE) Science Interface Panel (2018-2021). I am also the Associate Editor of Remote Sensing of Environment and on the Editorial Board of PeerJ. Currently, I am the Guest Editor of Remote Sensing, Special Issue: Science of Landsat Analysis Ready Data, and the Guest Editor of Forests, Special Issue: Mapping Forest Health Using Moderate Resolution Satellites.
In my spare time, I like fishing, hiking, and playing basketball.