GABAM, Long, T et al. ,2019

[WalidGharianiEAGLE]

I come across this dataset and I think it will be very useful to be included in GEE.

GABAM

30 m resolution global annual burned area maps (GABAM) of 1985-2019.

@article{Long_2019, doi = {10.3390/rs11050489}, url = {https://doi.org/10.3390%2Frs11050489}, year = 2019, month = {feb}, publisher = {{MDPI} {AG}}, volume = {11}, number = {5}, pages = {489}, author = {Tengfei Long and Zhaoming Zhang and Guojin He and Weili Jiao and Chao Tang and Bingfang Wu and Xiaomei Zhang and Guizhou Wang and Ranyu Yin}, title = {30 m Resolution Global Annual Burned Area Mapping Based on Landsat Images and Google Earth Engine}, journal = {Remote Sensing} }

Download Tool/Code snippets if any: https://vapd.gitlab.io/post/gabam/)

Required

License CC BY-NC-ND 4.0

Keywords: Global Burned Area, LANDSAT

Last updated: 2021-04-06

[samapriya]

Seems the dataset is under an open license which is even better https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/3CTMKP

[samapriya]

This has now been completed release information in the changelog https://samapriya.github.io/awesome-gee-community-datasets/projects/gabam/