Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches
Author:
Affiliation:
1. AI Semiconductor Research Center, Seoul National University of Science and Technology, Seoul, Republic of Korea
2. Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea
Funder
National Research Foundation of Korea
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2192157
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