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Date of publication: March 29, 2022

Version 1

Date of publication: March 29, 2022

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Global Forest Change: Forest Cover Loss – Finland – Factor 30

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 (6.25MB)
Metadata: ACDD (JSON) | EML (XML)

Forest changeForest lossFinland

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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 processed using a factor of 30 to aggregate to a new spatial resolution of 900 x 900 meters and are structured in the multidimensional and standard format proposed by the GEO BON community for the Essential Biodiversity Variables.
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https://doi.org/
10.1126/science.1244693
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To produce this dataset, we build on the process, results, and data outputs from time-series analysis of Landsat images in characterizing global forest extent and change from 2000 through 2020 (Hansen et al., Science 2013; version 1.8). Here forest loss during the period 2000–2020, is defined as a stand-replacement disturbance, or a change from a forest to non-forest state; encoded as either 0 (no loss) or else a value in the range 1–20, representing loss detected primarily in the year 2001–2020, respectively. We aggregate the original data at 30x30 meter spatial resolution using a factor of 30 that resulted in a new dataset at a resolution of 900x900 meters. All calculations and processing were made using ArcGIS Pro tools. The value of each 900x900 meter pixel in this aggregated dataset represents the number of pixels at the original resolution (30x30 meters) that experienced this transition from forest to non-forest state in a particular year.
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The email of the person or other creator type principally responsible for creating this data. miguel.fernandez@idiv.de
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Essential Biodiversity Variables

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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
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Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
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Ecosystem services
Pollination
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Cross-cutting

Biological entity

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Spatial domain

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National
Sub-national/Local
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southWest lat: 59, lon: 20
northEast lat: 71, lon: 32

Temporal domain

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decadal
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Freshwater
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