Pixel- and Object-Based ensemble learning for forest burn severity using USGS FIREMON and Mediterranean condition dNBRs in Aegean ecosystem (Turkey)

Author:

Tonbul Hasan,Colkesen Ismail,Kavzoglu Taskin

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference86 articles.

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3. Comparison of maximum likelihood estimators and regression models for burn severity mapping in Mediterranean forests using Landsat TM and ETM+ data;Ariza;Rev. Cart.,2019

4. Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation;Baatz,2000

5. Landsat-8 and Sentinel-2 based forest fire burn area mapping using machine learning algorithms on GEE cloud platform over Uttarakhand, Western Himalaya;Bar;Remote Sens. Appl. Soc. Environ.,2020

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