Forest cover analysis

Was this land forest, and when did it lose tree cover? For an afforestation, reforestation and revegetation (ARR) carbon project, that history is one of the first eligibility questions. The analysis reports tree cover in 2000 and the loss since, in hectares and on the map, plus the hectares gained from 2000 to 2012.

Forest cover analysis result card with fictional numbers: tree cover in 2000, loss and gain in hectares
Fictional example data

Who it is for

Carbon project developers

Screen candidate land for ARR before you commit to it. Land that lost tree cover recently needs a closer look, and the loss years show when.

Land acquisition teams

Compare candidate properties on the same measure before deciding which ones to visit.

Restoration organizations and funders

Show a site’s recent tree cover history beside the planting records, from a dataset reviewers already know.

What goes in

A property boundary as a polygon, and these settings, which you can change before each run.

Forest Cover Analysis settings
SettingDefaultRange
Minimum tree cover percentage to be considered forest (0-100)300–100

Data sources

What you get

  • Hectares and share of the property with tree cover at or above your threshold in 2000.
  • Hectares where the dataset detected tree cover loss between 2001 and 2024.
  • Hectares that gained tree cover from 2000 to 2012, and a historical estimate: tree cover in 2000 that was not lost, plus that gain. It is not today’s forest area.

Limits

  • Hansen measures cover of vegetation taller than 5 m, not land use. Tall trees in plantations, orchards and agroforestry count, and a harvested plantation shows as loss.
  • 30 m pixels blur small patches and narrow strips; on properties of a few hectares, treat the numbers as indicative.
  • Gain covers 2000 to 2012 only, so newer regrowth is not counted.
  • Loss counts every pixel where the dataset detected it, including pixels below your forest threshold in 2000.
  • It is a screening step. An eligibility decision rests on your forest definition, dated imagery and the standard’s own rules.

Where it fits in your work

Run it first, at pre-feasibility, on every candidate property. Land with recent loss gets a closer look; land that has been open for a long time moves on to the land structure and canopy height checks, a field visit and, later, the documents you prepare for a standard such as Verra.

Questions teams ask

Can this analysis prove ARR eligibility for Verra?

No single dataset can. Verra’s rules look at the 10 years before the start date: VM0047 excludes land that was managed forest in that period, and the VCS Standard asks for evidence that any ecosystem degradation in those years was not caused by the project. This analysis shows where a global dataset detected tree cover loss and in which years, so you know which land needs dated imagery, records or field checks before you commit.

What tree cover threshold should I use?

The default is 30%. Use the crown cover threshold in the forest definition your country reports under the UN climate rules; those thresholds sit between 10% and 30%. You can change it before each run.

How recent is the data?

The analysis uses version 1.12, where loss runs to the end of 2024. Gain only covers 2000 to 2012. For the land today, use recent imagery, degraded land mapping or a field visit.

What do I need to run it?

A property boundary as a polygon, drawn on the map or imported from a KML, shapefile or GeoJSON file. The result is saved on the property, beside its other records and maps.

Run it on your land

Tell us about the properties you are looking at, and we will set the analyses up in your project.

Connect your data, understand your operations.

Bring in the spreadsheets, field forms and maps you already use, and see every site in one place.