Global 30m forest cover loss map (Hansen et al 2013) for 2001-2019 (updated to include 2020, 2021 and 2022) is disaggregated into forest loss due to fire vs. other disturbance drivers. The map matches the sample-based area estimates of forest loss due to fire ± SE for all continents except Africa. This allows producing sub-regional map-based area estimates with a measure of uncertainty. The sum of map pixels with code 4 (high certainty of forest loss due to fire) corresponds to sample area estimate minus SE, adding code 3 (medium certainty) to code 4 (high certainty) pixels results in map area matching the sample-based area estimate, and adding code 2 (low certainty) pixels to codes 3 and 4 (medium and high certainty) yields map area matching sample area estimate plus SE. Code 5 corresponds to all forest loss due to fire in Africa; code 1 corresponds to forest loss due to other (non-fire) drivers. 

Dataset Reference

Tyukavina, A., Potapov, P., Hansen, M.C., Pickens, A., Stehman, S., Turubanova, S., Parker, D., Zalles, V., Lima, A., Kommareddy, I., Song, X-P, Wang, L. and Harris, N. (2022) Global trends of forest loss due to fire, 2001-2019. Frontiers in Remote Sensing https://doi.org/10.3389/frsen.2022.825190  [Open PDF]

Data visualization using Google Earth Engine Apps

https://glad.earthengine.app/view/global-forest-loss-due-to-fire


Dataset Access in Google Earth Engine

Image Collection id: users/sashatyu/2001-2022_fire_forest_loss
Data values: codes 2-4 - forest loss due to fire, low-high certainty (see description above), code 5 - all forest loss due to fire in Africa, code 1 - forest loss due to other (non-fire) drivers, code 0 - no data.

Image Collection id: users/sashatyu/2001-2022_fire_forest_loss_annual

Data values: year of loss from Hansen et al. global map (codes 1-22 correspond to 2001-2022 loss) for the forest loss due to fire map matching sample area estimate (map codes 3+4, code 5 for Africa). No data = 0.


Data Download

Map data are provided in Geographic Coordinates (Lat/Long) using the WGS84 reference system.

Data format:  8-bit unsigned LZW-compressed GeoTIFF. Pixel size is 0.00025 x 0.00025 degree. Data are aggregated into continental mosaics (see region boundaries and name abbreviations in the figure below).

Download GeoTIFFs from here

Files without "annual" in the name provide fire certainty levels for 2001-2022
Data values: codes 2-4 - forest loss due to fire, low-high certainty (see description above), code 5 - all forest loss due to fire in Africa, code 1 - forest loss due to other (non-fire) drivers, code 0 - no data.

Files with "_annual" in the name provide the year of  loss for medium and high certainty fire pixels
Data values: year of loss from Hansen et al. global map (codes 1-22 correspond to 2001-2022 loss) for the forest loss due to fire map matching sample area estimate (map codes 3+4, code 5 for Africa). No data = 0.