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Data details

UID 124
Name Global Forest Change
Note Results from time-series analysis of Landsat images characterizing forest extent and change. Trees are defined as vegetation taller than 5m in height and are expressed as a percentage per output grid cell as ‘2000 Percent Tree Cover’. ‘Forest Cover Loss’ is defined as a stand-replacement disturbance, or a change from a forest to non-forest state, during the period 2000–2023. ‘Forest Cover Gain’ is defined as the inverse of loss, or a non-forest to forest change entirely within the period 2000–2012. ‘Forest Loss Year’ is a disaggregation of total ‘Forest Loss’ to annual time scales. Reference 2000 and 2023 imagery are median observations from a set of quality assessment-passed growing season observations. Data download: glad.earthengine.app/view/global-forest-change
Update Frequency Yearly
Area Global
Temporal 01 Jan. 2000 - 31 Dec. 2019
Timeliness < 1 hr
Data Policy Freely accessible
Data type Geospatial data
Copernicus service product
Data format Raster dataset
Quality Control Procedure N/A
Dissemination Download Service
Inspire themes

N/A
Geographical Coverage

Multiple Countries /Not a specific country
Status -
State Draft
Created on April 9, 2018, 4:05 p.m.
Last modified on Dec. 16, 2020, 9:48 a.m.

Data Providers

Data provider UID Data provider Role Is network Created on Last modified on
298 University of Maryland (GLAD lab)/Google/USGS/NASA Originator April 9, 2018, 4:05 p.m. Dec. 16, 2020, 9:48 a.m.

Requirements

Requirement UID Requirement Level of compliace Note Information costs Handling costs Created on Last modified on
36 Land Cover - Forest Partially Supports training sample selection, plausibility checks and final Quality Control (QC) steps of current Forest Type product, but limited in timeliness due to lacking information on update frequency. April 9, 2018, 4:05 p.m. Dec. 16, 2020, 9:48 a.m.
436 Land Cover Partially April 9, 2018, 4:05 p.m. Dec. 16, 2020, 9:48 a.m.
181 Land Cover - Grassland Partially Useful for training sample selection and identification. But thematic Focus on Change. Only partially compliant due to low resolution and lacking update. April 9, 2018, 4:05 p.m. Dec. 16, 2020, 9:48 a.m.