# Hansen Global Forest Change

UMD — version 1.12

## Description

This dataset quantifies tree cover (%) in the year 2000, forest gain from 2000 to 2012, and, if present, the year of forest loss from the year 2000 onwards. Data has global coverage at 30 m spatial resolution.

## Summary

- **ID:** 9659ec1d-7091-4f8b-9db5-e9fe07d2f508
- **Type:** Raster
- **CRS:** EPSG:4326
- **Spatial coverage:** Global
- **Spatial resolution:** 30 m
- **Temporal coverage:** 2000+
- **Temporal resolution:** Annual

## Usage notes

New time points are delivered approximately annually. Ongoing improvements in Landsat sensors, land data availability, and algorithms may create inconsistencies in forest change metrics. Consider computing three-year moving averages, where appropriate. This dataset is not proven for rigorous area-based deforestation analysis (e.g. EUDR).

## Variables

### tree_cover
- **Type:** uint8
- **Units:** %
- **NoData:** 255
Canopy cover of trees for the year 2000. Data is generated using a decision tree trained to predict high resolution imagery and existing tree cover layers from Landsat 7 (2000+), Landsat 8 (2013+), and Landsat 9 (2022+) data.

### forest_gain
- **Type:** uint8
- **NoData:** 255
Indicates whether a pixel shifted from a non-forest to forest over the period 2000-2012. Data is generated using a decision tree trained to predict high resolution imagery and existing tree cover layers from Landsat 7 (2000+), Landsat 8 (2013+), and Landsat 9 (2022+) data.

### loss_year
- **Type:** uint8
- **NoData:** 255
The year a forest pixel became non-forest. Data is generated using a decision tree trained to predict high resolution imagery and existing tree cover layers from Landsat 7 (2000+), Landsat 8 (2013+), and Landsat 9 (2022+) data.

### data_mask
- **Type:** uint8
- **NoData:** 255
Indicates whether a pixel is land or a permanent water body for the period 2000-2012.

## Pricing

This dataset has no data acquisition cost.