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Forest loss year (2000-2018)

Dataset Creator Name: Matthew Hansen
Date of creation: 2019

Forest loss during the period 2000–2018, defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Data in this layer were generated using multi-spectral satellite imagery from the Landsat 7 thematic mapper plus (ETM+) sensor. The clear surface observations from over 600,000 images were analysed using Google Earth Engine, a cloud platform for earth observation and data analysis, to determine per pixel tree cover ...

Forest lossGoogleGlobal

Title:

Forest loss year (2000-2018)

Date of creation:

2019

Creator Name:

Matthew Hansen

Creator Email: mhansen@umd.edu
Creator Organisation:

University of Maryland

Contact Name:

Matthew Hansen

Contact Email: mhansen@umd.edu
Contact Organisation:

University of Maryland

Description:
Associated Publications: https://doi.org/10.1126/science.1244693
External links to the project: https://earthenginepartners.appspot.com
https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.7.html
License:

CC BY 4.0

Essential Biodiversity Variables

EBV class

Ecosystem structure

EBV name

Ecosystem distribution

Metric

Metric 1
Name:

Forest loss

Description:

Encoded as either 0 (no loss) or else a value in the range 1–18, representing loss detected primarily in the year 2001–2018, respectively.

Unit:

Year of gross forest cover loss event


Spatial domain

Spatial extent:

Global

Spatial resolution:

1000 meter

Spatial accuracy:

1000 meter

Temporal domain

Temporal resolution:

Yearly

Temporal extent:

From 2000 to 2015

Biological entity

Entity type:

Ecosystem Types

Classification System Name:

Forests

Environmental domain

Realm:

Terrestrial

Description:

Methodology available from https://science.sciencemag.org/content/sci/suppl/2013/11/14/342.6160.850.DC1/Hansen.SM.pdf

Sources used to generate the data

Source 1
Name and version:

High-Resolution Global Maps of 21st-Century Forest Cover Change

Type:

Description of protocol


Access:

Open


Link:

https://doi.org/10.1126/science.1244693


Reference:


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