Data Lab Sandbox

umd_tree_cover_loss_from_fires

created_on

2023-05-04T13:11:58.897201

updated_on

2024-10-04T16:27:59.736586

spatial_resolution

resolution_description

30 × 30 meters

geographic_coverage

Global land area (excluding Antarctica and other Arctic islands)

update_frequency

Annual

scale

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](https://doi.org/10.3389/frsen.2022.825190) "

title

Tree cover loss due to fire

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](https://doi.org/10.3389/frsen.2022.825190) Data available at [https://glad.umd.edu/dataset/Fire_GFL/](https://glad.umd.edu/dataset/Fire_GFL/)"

license

[CC by 4.0](https://creativecommons.org/licenses/by/4.0/)

data_language

English

overview

This data is produced by the [Global Land Analysis & Discovery (GLAD) lab](https://glad.geog.umd.edu/) 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 2001-2023 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).<br><br>In this data set, “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 “stand replacement disturbance” which is considered to be clearing of at least half of tree cover within a 30-meter pixel. The exact threshold is variable both through space and time, and is biome-dependent. Tree cover loss due to fires may be caused by natural or human-induced fire activity.<br><br>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 2011-2023 period. Due to these changes, comparing trends across the 2000-2010 and 2011-2023 periods should be [performed with caution](https://www.globalforestwatch.org/blog/data/20-years-global-tree-cover-loss-data-trends/). You can read more about the updates to the modeling process [here](https://storage.googleapis.com/earthenginepartners-hansen/GFC-2023-v1.11/download.html).<br><br>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).<br><br>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.<br>This data is available for download [here](https://glad.umd.edu/dataset/Fire_GFL/) and also accessible through Google Earth Engine using the following image IDs (see [https://glad.umd.edu/dataset/Fire_GFL/](https://glad.umd.edu/dataset/Fire_GFL/) for more information):<br><br>- Fire certainty: users/sashatyu/2001-2023_fire_forest_loss<br><br>- Date of loss: users/sashatyu/2001-2023_fire_forest_loss_annual

function

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

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 is defined as “stand replacement disturbance” which is considered to be clearing of at least half of tree cover within a 30-meter pixel. The exact threshold is variable both through space and time and is biome-dependent. This may not necessarily equate to deforestation.<br><br>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.<br><br>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 2023. 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.

key_restrictions

tags

why_added

learn_more

id

c4417eb1-2874-4087-a765-7c8a675c42d3

Is downloadable?

Yes

Versions

v20220309
v20220324
v20220424
v20230315
v20230424
v20240301