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Date of publication: March 7, 2022

Version 1

Date of publication: March 7, 2022

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Global Forest Change: Forest Cover Loss - Finland

by Miguel Fernandez

This EBV dataset is based completely on the time series analysis produced by Hansen et al., (2013) in the version 1.8, which examines the global Landsat archive at a special resolution of 30 meters to characterize global forest extent and change from 2000 trough 2020. In this EBV dataset we focus on "Forest Cover loss" defined as a stand-replacement disturbance, or a change from a forest to non-forest state. The original data from Hansen et al., ...(continue reading)

Data: netCDF (104.19MB)
Metadata: ACDD (JSON) | EML (XML)

Forest lossForest changeFinland

The title of the dataset.
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This EBV dataset is based completely on the time series analysis produced by Hansen et al., (2013) in the version 1.8, which examines the global Landsat archive at a special resolution of 30 meters to characterize global forest extent and change from 2000 trough 2020. In this EBV dataset we focus on "Forest Cover loss" defined as a stand-replacement disturbance, or a change from a forest to non-forest state. The original data from Hansen et al., (2013), was cropped to the extent of Finland and structured in the multidimensional standard format proposed by the GEO BON community for the Essential Biodiversity Variables.
Provide the DOI number of associated publications. Click Plus to add DOIs.
https://doi.org/
10.1126/science.1244693
The method of production of the original data.
Hover to see a suggestion for a minimum description. To produce this dataset, we built on the process, results, and data outputs from the time-series analysis of Landsat images to characterize the extent and change of global forests from 2000 to 2020, at a spatial resolution of 30x30 meters (Hansen et al., Science 2013; version 1.8). We cropped the original data to the country extent of Finland and restructured it such that each layer in the netCDF file represents an individual year in which forest loss occurred and is defined as a stand replacement disturbance, or a change from forest to non-forest state, coded as either 0 (no loss) or a value of 1, denoting 30x30 meter pixels that experienced this transition from forest to non-forest state in a given year. All calculations and processing were performed using ArcGIS Pro.
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The name of the Project.
The URL from the project website. https://e-shape.eu
The name of the person or other creator type principally responsible for creating this data.
The email of the person or other creator type principally responsible for creating this data. miguel.fernandez@idiv.de
miguel.fernandez@idiv.de
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Please select the CC license from the list. We recommend the use of CC BY 4.0

Essential Biodiversity Variables

Select the EBV class and the EBV name for the dataset. For cross-cutting use the comment at the bottom of the page for further information.
Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
Other
Species populations
Species distributions
Species abundances
Other
Species traits
Morphology
Physiology
Phenology
Movement
Other
Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
Other
Ecosystem functioning
Primary productivity
Ecosystem phenology
Ecosystem disturbances
Other
Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
Other
Ecosystem services
Pollination
Other
Cross-cutting

Biological entity

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Species
Communities
Ecosystems
Other
None
A description of the range of taxa or ecosystem types addressed in the dataset. E.g. "300 species of mammals”, “Forests”, etc.
The reference as a URL. N/A

Metric

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Scenario

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Spatial domain

Global
Continental/Regional
National
Sub-national/Local
Name of the continent/region/country/area, separated by comma
southWest lat: 59, lon: 20
northEast lat: 71, lon: 32

Temporal domain

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decadal
annually
monthly
weekly
daily
Other
Irregular
Single time
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-

Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. N/A