You are viewing Version 2, the most recent version of this dataset.
2 version(s) available
Date of publication: August 30, 2023

Version 2

Date of publication: August 30, 2023

Type of change: Data

Description: updated metric description+units and changed the forest mask in the data

preview image

Forest cover loss for Finland (e-shape, 0.00075 degrees)

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)

DOI 10.25829/fnm5w9
Citation
Fernandez, M. (2023). Forest cover loss for Finland (e-shape, 0.00075 degrees) (Version 2) [Dataset]. German Centre for Integrative Biodiversity Research. https://doi.org/10.25829/fnm5w9

FinlandForest changeForest loss

22
The title of the dataset. Forest cover loss for Finland (e-shape, 0.00075 degrees)
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
Hover to see a suggestion for a good description. Allowed:
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 3 to aggregate to a new spatial resolution of 90 x 90 meters and are structured in the multidimensional and 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 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 3 that resulted in a new dataset at a resolution of 90x90 meters. All calculations and processing were made using ArcGIS Pro tools. The value of each 90x90 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.
The coverage content type describes the general content type of the resource (multiple selection possible).
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

N/A

miguel.fernandez@idiv.de

N/A

The names of the co-creators responsible for creating this data. Click Plus to add co-creators.
Select between Creative Commons (CC) or Non-CC license.
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

Entity

Select the entity type of the dataset.
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

Spatial domain

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

Temporal domain

The targeted time period between each value in the dataset.
decadal
annually
monthly
weekly
daily
Other
Irregular
Single time
Select the temporal extent of the dataset.
When the dataset represents a Single time, then use the same start and end date.
__

Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. Note on the Visualization Mask: The mask applied across this EBV dataset is derived from the Hansen et al., (2013) Global Forest Change dataset, representing the original forest extent from the year 2000 at a resolution of 30x30 meters. For visualization at coarser resolutions, we implemented a methodology wherein if any 30x30 pixel within an aggregation window showed forest cover, the entire window was labeled as "forest." This method ensures consistent representation across different resolutions, though it may not precisely depict the actual ground situation at broader scales. The visualization technique is specifically designed for our presentation needs and might not be an exact reflection of the true forest extent.
Entities
Forest