Land Use / Land Cover Classification Districts Bolgatanga and Bongo, Ghana, 2013

Land use / land cover classification of the districts Bolgatanga and Bongo in Ghana based on very high resolution remote sensing data (5m). Focus of the classification is on the agricultural class, where single crop types are discriminated.

Remote sensing base: RapidEye, TerraSAR-X, Landsat.

Simple

Date (Publication)
2017-05-11T14:00:00
Presentation form
Digital map
Purpose
for usage in GIS-Came as base LULC-Map
Credit
Dr. Gerald Forkuor, Alejandra Narvaez-Vallejo
Status
Completed
Principal investigator
  University of Würzburg - Michael Thiel ( Scientist )
Germany
http://remote-sensing.eu/
Originator
  University of Würzburg - Alejandra Narvaez-Vallejo ( Scientist )
Maintenance and update frequency
Not planned
GEMET - Concepts, version 2.4
  • land
  • land cover
  • land use
  • remote sensing
  • land use classification
  • catchment
Theme
Region
  • Ghana
  • Western Africa
Place
  • Vea
  • Bolgatanga
  • Bongo
Access constraints
Intellectual property rights
Use constraints
License
Other constraints

The work is licensed under: http://creativecommons.org/licenses/by-sa/4.0/

Citation:

Narvaez-Vallejo, A. (2016): Land Use / Land Cover Classification Districts Bolgatanga and Bongo, Ghana, 2013. https://wascal-dataportal.org/geonetwork/?uuid=1b7cbd8e-8ae4-48e0-b31c-ccde622d95d0
Spatial representation type
Grid
Metadata language
eng
Character set
UTF8
Topic category
  • Geoscientific information
Begin date
2013-01-01
End date
2013-12-31
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Supplemental Information

#legend

-lulc_level1_bolga_bongo.tif

1 crops

2 Natural/Semi Natural Vegetation

3 Bare / Artifical Surfaces

4 Water Bodies

-lulc_level2_bolga_bongo.tif

1 Cereals

2 Legumes

3 Maize

4 Rice

5 Bare / Artifical Surfaces

6 Tree/ Forest

7 Grassland

8 Mixed Vegetation

9 Water Bodies

- lulc_validation_level1.tif and lulc_valadation_level2.tif

Pixel wise accuracy of specific class (F1 score)
Reference system identifier
EPSG / EPSG:32630 - WGS 84 / UTM zone 30N / 7.9
Distribution format
  • GeoTIFF ( 1.0 )

Distributor

Distributor
  WASCAL -
OnLine resource
Classification_Bolga_Bongo.zip ( WWW:DOWNLOAD-1.0-http--download )

Zipped file for download. Contains 2 level classification and accuracy information.

OnLine resource
WASCAL:WSC_luc_classification_level1_2013_Bolgatanga_Bongo_Ghana_ras ( OGC:WMS-1.1.1-http-get-map )

Land Use / Land Cover Classification 2013 on Districts Bolgatanga and Bongo

OnLine resource
WASCAL:WSC_luc_classification_level2_2013_Bolgatanga_Bongo_Ghana_ras ( OGC:WMS-1.1.1-http-get-map )

Land Use / Land Cover Classification 2013 on Districts Bolgatanga and Bongo

Hierarchy level
Dataset
Statement
Land Use / Land Cover classification based on Remote Sensing data (RapidEye, TerraSAR-X and Landsat). Classification was done with RandomForest classifier in R. Training and validation data (field data) were taken in 2013 within the Vea watershed. Field data are not available on the full districts extend. Final classification is a mosaic of several single classifications with varying number of input data.
Source
File identifier
1b7cbd8e-8ae4-48e0-b31c-ccde622d95d0 XML
Metadata language
English
Character set
UTF8
Date stamp
2021-03-18T16:53:09
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  University of Würzburg - Michael Thiel ( Scientist )
 
 

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Keywords

GEMET - Concepts, version 2.4
catchment land land cover land use land use classification remote sensing

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