Comparative Analysis of Deep Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-2 Image: A Case Study in Muğla-Bodrum, Turkey
Author:
Affiliation:
1. Gebze Technical University,Department of Geomatics Engineering,Kocaeli,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10197839/10197652/10197926.pdf?arnumber=10197926
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4. Landscape assessment: ground measure of severity, the composite burn index, and remote sensing of severity, the normalized burn ratio;key;USDA Forest Service Ogden UT Rocky Mountain Research Station General Tech Rep RMRS-GTR-164-CD LA,2005
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2. Single-Temporal Sentinel-2 for Analyzing Burned Area Detection Methods: A Study of 14 Cases in Republic of Korea Considering Land Cover;Remote Sensing;2024-03-02
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