Geo-ForPy - Forest Cover per Protected Area in the Paraguayan Chaco - 2000-2020

This product is a vector file of the protected areas of the Paraguayan Chaco. It contains information on the forest cover within each protected area and a 5, 10, and 15 km buffer zone around these areas, for the years 2000 until 2020. Hence, this product aggregates the information of 21 annual forest maps of the Paraguayan Chaco to the level of protected areas and provides the basis for further analysis as conducted in the following publication: https://doi.org/10.3390/f13010025

Citation proposal
German Aerospace Center (DLR). Geo-ForPy - Forest Cover per Protected Area in the Paraguayan Chaco - 2000-2020. https://gdk.gdi-de.org/geonetwork/srv/api/records/d1d97c73-eff4-411b-93d6-f4a30ea05faa

Identification

Data identification

Citation

Date ( Creation ): 2022-09-27T00:00:00

Edition

Identifier: https://geoservice.dlr.de/catalogue/srv/metadata/d1d97c73-eff4-411b-93d6-f4a30ea05faa

Presentation form: Digital map

Other citation details

Purpose: This data set provides the results of a analysis of the forest cover develeopment in the protected areas of the Paraguayan Chaco between 2000 and 2020 and reveals the effectiveness of such protecting zones.

Status: Completed

Author

German Aerospace Center (DLR) -

Point of contact

German Aerospace Center (DLR)

Maintenance and update frequency: As needed

GEMET - INSPIRE themes, version 1.0 ( Theme )

Land cover

Spatial scope ( Theme )

National

Keywords

opendata
DLR
EOC
GeoForPy
Forest
Forest Cover
Landsat-5
Landsat-7
Landsat-8
Paraguay
random forest
protected areas

Use limitation: Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.

Legal constraints

Access constraints: Other restrictions

Legal constraints

Use constraints: Other restrictions

Other constraints: Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/

Other constraints

{"id": "cc-by-4.0",

"name": "Creative-Commons - Attribution 4.0 International (CC BY 4.0)",

"url": "http://dcat-ap.de/def/licenses/cc-by/4.0",

"quelle": "Copyright DLR (2022)"}

Spatial representation type: Grid

Denominator: 60000

Metadata language: English English

Character set: UTF8

Topic category

Biota

Extent

Distribution

Distribution format

Geopackage ()

Digital transfer options

OnLine resource: PROTECTED_AREAS_FOREST_PRY
WMS Access: Forest cover per protected area in the Paraguayan Chaco 2000 - 2020

OnLine resource: HTTP download Geo-ForPy - Paraguayan Chaco, 2000-2020
HTTP download Geo-ForPy - Paraguayan Chaco, 2000-2020

OnLine resource: Geo-ForPy - Deforestration in Latin America and the Paraguayan Chaco
Geo-ForPy - project Webpage

OnLine resource: Understanding 34 Years of Forest Cover Dynamics across the Paraguayan Chaco: Characterizing Annual Changes and Forest Fragmentation Levels between 1987 and 2020
Article

Quality

Data quality

Hierarchy level: Dataset

Domain consistency

Measure identification: INSPIRE / Conformity_001

Conformance result

Citation

Date ( Publication ): 2010-12-08

Explanation: See the referenced specification.

Pass: true

Lineage

Statement: This data set provides 21 years of forest cover losses in the protected areas and surrounding buffer zones in the Paraguayan Chaco. All information is given in square meter. The forest cover per protected area/buffer zone was derivated from the forest masks (2000 – 2020) which are a product of the Geo-ForPy project.

Description

Processing:

Overlapping buffer zones of two or more protected areas were merged to one common buffer zone. To calculate the forest cover per protected area/buffer zone, the shape file was intersected with the forest areas of the annual forest masks and the area of intersection was calclulated.

Quality Assurance:

The underlying forest masks have overall accuracies between 85% and 97%. Missclassifications directly affect the calculated forest area.