Digital Mapping Burn Severity in Agricultural and Forestry Land over a Half-Decade Using Sentinel Satellite Images on the Google Earth Engine Platform: A Case Study in Isparta Province

Author:

Demir SinanORCID,Başayiğit Levent

Publisher

Elsevier BV

Reference51 articles.

1. Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey;Akıncı;Earth. Sci. Inform.,2023

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3. Utilizing sentinel-2 data for mapping burned areas in banjarbaru wetlands, South Kalimantan province;Arisanty;Int. J. Forestry Res.,2022

4. Determination of the certain vegetation characteristics of Kizilova forest pasture located in the south of Turkey;Babalik;Appl. Ecol. Environ. Res.,2019

5. Improving the accuracy of random forest classifier for identifying burned areas in the Tangier-Tetouan-Al Hoceima region using Google earth engine;Badda;Remote Sens. (Basel),2023

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