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  Geo-ForPy - Forest Cover per District in the Paraguayan Chaco - 1986-2020

This product is a vector file of the districts of the Paraguayan Chaco. It contains information on the forest cover within each district for the years 1986 until 2020. Hence, this product aggregates the information of 34 annual forest maps of the Paraguayan Chaco to a district level 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 District in the Paraguayan Chaco - 1986-2020. https://gdk.gdi-de.org/geonetwork/srv/api/records/71cd351c-5332-4747-b1ef-18c1bcdd569d
 

Simple

Date ( Creation )
2022-09-27T00:00:00
Edition
Identifier
https://geoservice.dlr.de/catalogue/srv/metadata/71cd351c-5332-4747-b1ef-18c1bcdd569d
Presentation form
Digital map
Other citation details
Purpose
This data set provides the results of a district level analysis of the forest cover development in the Paraguayan Chaco between 1986 and 2020.
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
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.
Access constraints
Other restrictions
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
N
S
E
W


Distribution format
  • Geopackage ()

OnLine resource
FOREST_AREAS_DISTRICTS_PRY_P1Y  

WMS Access: Forest Cover Change per District 1986-2020

OnLine resource
HTTP download Geo-ForPy - Paraguayan Chaco, 1986-2020  

HTTP download Geo-ForPy - Paraguayan Chaco, 1986-2020

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

Hierarchy level
Dataset

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Date ( Publication )
2010-12-08
Explanation
See the referenced specification.
Pass
true
Statement
This data set provides 34 years of forest cover changes in the Paraguayan Chaco, broken down by districts. All information is given in square meter. The forest cover per distict was derivated from the forest masks (1986 – 2020) which are a product of the Geo-ForPy project.
Description

Processing:

To calculate the forest cover per district, the district 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.

gmd:MD_Metadata

File identifier
71cd351c-5332-4747-b1ef-18c1bcdd569d   XML
Metadata language
English English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name
Dataset
Date stamp
2024-06-20T13:08:11
Metadata standard name
ISO 19115-1:2014/19139

  Point of contact

German Aerospace Center (DLR)  

 
 

  Overviews

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  Views

  • INSPIRE
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  • XML
71cd351c-5332-4747-b1ef-18c1bcdd569d   Access to the portal Read here the full details and access to the data.

  Associated resources

Not available


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