Detection of burned areas using deep learning from satellite images
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Updated
Feb 7, 2022 - Jupyter Notebook
Detection of burned areas using deep learning from satellite images
ModL2T: hybrid MODIS and Landsat algorithm in Google Earth Engine for estimating post-monsoon burned area from agricultural fires in northwestern India
Visualization of burned area satellite data for Australian bush fires
This code repository is an attachment for the IGARSS 2023 proceeding paper: Paluba D. et al. (2023): "Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine".
A simple graphic editor that you can draw and calculate the percentage of filled area. It can be used for calculating the percentage of a burned human body area.
Predicted Burned area of forest fires and Turbine yield energy using ANN
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