Forest Cover & Change

Tree cover, the primary measurable attribute of forests, correlates to timber volume, habitat quality, and movement of wildlife, as well as residential property value and other forestland values. Mapping forests as percentages of tree cover over time enables informed detection and monitoring of clearing, harvest, degradation, and growth, and it enables monitoring and retrieval of site-specific histories of forest change. The terraPulse forest product suite is based on time-serial maps estimating the percentage of horizontal area in each pixel covered by woody vegetation taller than 3 to 5 meters from current and historical satellite imagery. The dataset is available from 1984 to 2020 at 30-meter resolution for any region resolution, as well as derived categories of forest cover and change detection. Through the terraPulse Land Cover Dataset, the tree-cover layer is also available as a binary measurement at 1-meter resolution, with historical coverage depending on the availability of high-resolution imagery.

Forest

Figure 3. terraView displaying terraPulse Tree Cover (2019) and Forest Loss (1984 – 2019) at 30m resolution over Washington’s Olympic Peninsula in green and orange-red heatmaps. The time-series chart shows the Normalized Difference Vegetation Index at daily, 500-meter resolution from 2000 to 2019 at the pinned location.

Geospatial Data

Tree cover, the primary measurable attribute of forests, correlates to timber volume, habitat quality, and movement of wildlife, as well as residential property value and other forestland values. Mapping forests as percentages of tree cover over time enables informed detection and monitoring of clearing, harvest, degradation, and growth, and it enables monitoring and retrieval of site-specific histories of forest change. The terraPulse forest product suite is based on time-serial maps estimating the percentage of horizontal area in each pixel covered by woody vegetation taller than 3 to 5 meters from current and historical satellite imagery. The dataset is available from 1984 to 2020 at 30-meter resolution for any region resolution, as well as derived categories of forest cover and change detection. Through the terraPulse Land Cover Dataset, the tree-cover layer is also available as a binary measurement at 1-meter resolution, with historical coverage depending on the availability of high-resolution imagery.

Standard Data Products

Case Studies

Enviva Biomass uses terraPulse to verify reforestation in its supply chain
Belize uses terraPulse to monitor forest change
The Philippines’ Forest Management Bureau uses terraPulse to establish forest reference emission and baseline activity levels

Case Studies

chemical composition overlay
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river flowing through
united states forest
Unit:

percent of area

Scale:

Spatial: 30-m resolution, global extentextent
Temporal: annual resolution from 1984 – present

Source:

terraPulse

Latency:

previous year