20161024
13271800
1.0
INSPIRE Metadata Directive
FALSE
ExtractByMask N_KEO_N_smooth.tif clc12_V18_5_land_mask.tif M:\Outc_data\2016\EEA_Forest_indicators\qaqc\Naturalness-species-KEO.tif
eea_r_3035_1_km_naturalness-species-keo_2011.tif
file://M:\Outc_data\2016\EEA_Forest_indicators\qaqc\eea_r_3035_1_km_naturalness-species-keo_2011\eea_r_3035_1_km_naturalness-species-keo_2011.tif
Local Area Network
002
4755216.139146
5664216.139146
2295476.774752
3120476.774752
1
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_LAEA
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FALSE
None
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TIFF
FALSE
continuous
floating point
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20161031
11103200
20161031
11103200
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552
naturalness_species_keo_2011
1
15.371986
28.828222
51.029823
42.438840
In this calculation on Carpathian region, the species of interest were selected from the distribution maps from the European Forest Inventory (Brus, et al., 2011), grouped following the spatial distribution provided by (Barbati et al., 2013) and divided by percentage of available forest obtained from the PALSAR-2 forest/ non-forest map (ALOS-2/ALOS, Earth Observation Research Center, JAXA).
More details on the creation of this indicator are available in the final report "ETCULS1835_RegionalCoperation_CarpathiansReport.pdf".
The document "ForestN.docx" available for download provides information about the quality checks performed on the dataset.
References:
Developing a forest naturalness indicator for Europe. Concept and methodology for a high nature value (HNV) forest indicator (EEA Technical report No 13/2014) available on https://www.eea.europa.eu/publications/developing-a-forest-naturalness-indicator.
Secretariat of Carpathian Convention; Member States of the Carpathian Convention; European Topic Centre Digitalisation and Innovation; European Environment Agency (EEA)
FISE
Carpathian
naturalness
species
forests
old growth forests
primary forests
Raster Dataset
dataset
EPSG
8.2.6
2
1
0
4755216.139146 2295476.774752
4755216.139146 3120476.774752
5664216.139146 3120476.774752
5664216.139146 2295476.774752
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1000.000000
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1000.000000
Band_1
1.000000
0.000000
32
20161031