{"function": "

Identifies areas of tree cover loss due to fires compared to all other drivers of tree cover loss

", "geographic_coverage": "

Global land area (excluding Antarctica and other Arctic islands)

", "download_data": "", "map_service": "", "subtitle": "(annual, 30m, global, UMD/GLAD)", "license": "

CC by 4.0

", "title": "Tree cover loss due to fire", "agol_id": "", "overview": "

This data is produced by the Global Land Analysis & Discovery (GLAD) lab at the University of Maryland and measures areas of tree cover loss due to fires compared to all other drivers across all global land (except Antarctica and other Arctic islands) at approximately 30 × 30-meter resolution. The data were generated using global Landsat-based annual change detection metrics for 2001-2020 as input data to a set of regionally calibrated classification tree ensemble models. The result of the mapping process can be viewed as a set of binary maps (tree cover loss due to fire vs. tree cover loss due to all other drivers).

In this dataset, tree cover is defined as all vegetation greater than 5 meters in height and may take the form of natural forests or plantations across a range of canopy densities. Tree cover loss is defined as any stand replacing disturbances (i.e., the complete removal of tree cover canopy at the scale of a 30 m pixel) and may not necessarily equate to deforestation. Tree cover loss may be the result of human activities, including forestry practices such as timber harvesting or deforestation (the conversion of natural forest to other land uses), as well as natural causes such as disease or storm damage. Tree cover loss due to fires may be caused by natural or human-induced fire activity.

The analysis method for the base tree cover loss map on GFW that is used as input for this dataset has been modified in numerous ways to improve detection of boreal loss due to fires, smallholder rotation agriculture in tropical forests, selective logging, and short cycle plantations for data covering the 2011-2022 period. Due to these changes, comparing trends across the 2000-2010 and 2011-2022 periods should be performed with caution. You can read more about the updates to the modeling process here.

When zoomed out (< zoom level 13), pixels of loss are shaded according to the density of loss at the 30 x 30 meter scale. Pixels with darker shading represent areas with a higher concentration of tree cover loss, whereas pixels with lighter shading indicate a lower concentration of tree cover loss. There is no variation in pixel shading when the data is at full resolution (≥ zoom level 13).

The tree cover density of the displayed data varies according to the selection - use the legend on the map to change the minimum tree cover canopy density threshold.

This data is available for download here and also accessible through Google Earth Engine using the following image IDs (see https://glad.umd.edu/dataset/Fire_GFL/ for more information):
- Fire certainty: users/sashatyu/2001-2021_fire_forest_loss
- Date of loss: users/sashatyu/2001-2021_fire_forest_loss_annual

", "citation": "

Use the following credit when this data is displayed:
Source: UMD/GLAD, accessed through Global Forest Watch

Use the following credit when this data is cited:
Tyukavina, A., Potapov, P., Hansen, M.C., Pickens, A., Stehman, S., Turubanova, S., Parker, D., Zalles, A., 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

", "cautions": "

Tree cover is defined as all vegetation greater than 5 meters in height and may take the form of natural forests or plantations across a range of canopy densities. Tree cover loss refers to any stand replacing disturbances (i.e., the complete removal of tree cover canopy at the scale of a 30 m pixel) and may not necessarily equate to deforestation.

This dataset does not include low-intensity and understory forest fires that do not result in substantial tree canopy loss at the scale of a 30 m pixel. Fires within recent forest loss due to other drivers are also excluded. Therefore, this data does not include the burning of felled logs following mechanical canopy removal, which is common in slash and burn agriculture and large-scale deforestation.

Consistent with the global tree cover loss map on GFW, this data only maps the first stand replacing forest disturbance for each pixel between 2001 and 2020. Areas of tree cover loss due to fires that occurred when forest regrowth followed an initial disturbance early in the study period are not detected in this data.

", "date_of_content": "

2001-2022

", "learn_more": "", "source": "

Tyukavina, A., Potapov, P., Hansen, M.C., Pickens, A., Stehman, S., Turubanova, S., Parker, D., Zalles, A., 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

Data available at https://glad.umd.edu/dataset/Fire_GFL/

", "carto_table": "", "amazon_link": "s3://gfw-data-lake/umd_tree_cover_loss_from_fires/", "translation": {"fr": {}, "es": {}}, "other": "", "resolution": "

30 × 30 meters

", "frequency_of_updates": "

Annual

", "tags": "Forest Change"}