Agricultural Land Use Maps at RapidEye (5m) Scale for Vea Watershed (Ghana) 2012 and 2013

These LULC maps were created through automatic digital classification of RapidEye imagery acquired during the cropping season of 2012. Two monthly time-steps (June and October) were analyzed.Reference (or field) data on which the classification was based were acquired through a field campaign that lasted from May to October 2012. Standard image pre-processing techniques such as geometric and radiometric correction were conducted on the data prior to classification. The Random Forest classification algorithm was used for classification. Two levels of classification were conducted: (1) a level 1 classification which includes four broad LULC classes and (2) a level 2 classification which comprises of nine LULC classes. The poor temporal coverage of the RapidEye imagery made the accurate delineation of certain crop classes (e.g. groundnuts) very challenging. Nonetheless, an overall accuracy of 79% was obtained

Simple

Date (Publication)
2014-04-28
Presentation form
Digital image
Purpose
To be used in a wide range of biophysical and economic models within the WASCAL community
Status
On going
Originator
  University of Wuerzburg - Gerald Forkuor ( Junior Researcher )
Oswald-Külpe-Weg 86 , Wuerzburg , Free State of Bavaria , 97074 , Germany
+49 (0) 931 31-86692
+49 (0)931 31-87358
http://www.geographie.uni-wuerzburg.de/en/fernerkundung_neu/staff/mr_gerald_forkuor/
Maintenance and update frequency
As needed
GEMET - Concepts, version 2.4
  • land use
  • watershed
  • agriculture
  • remote sensing
Theme
  • satellite
Region
  • Ghana
  • Western Africa
Place
  • Vea
Access constraints
Intellectual property rights
Use constraints
License
Other constraints

Download only allowed to registered members of WASCAL, including Graduate Studies Program, CoC staff members, and partners of affiliated research programs as far as authorized by the WASCAL headquarter. Account in the Data Portal is required for download.

Use restricions are:

- The Data must not be re-distributed to unauthorized persons;

- The Data can be copied and processed to create derivations by the authorized persons;

- If publication results from using the Data or its derivations, the user agrees to cite the Originator and/or give credit to the Originator, or, as scientifically appropriate, provide co-authorship to the Originator based on any direct contribution s/he may make to the research;

Citation of the Originator

Citation: Forkour, G. (2014): Agricultural Land Use Maps at RapidEye (5m) Scale for Vea Watershed (Ghana) 2012 and 2013, https://wascal-dataportal.org/geonetwork/?uuid=68fcd761-fe4a-4df3-a590-bda47cbd7421

Aggregate Datasetindentifier
32f5dc92-ff30-4424-991e-61840a44c8ca
Association Type
Cross reference
Initiative Type
Study
Spatial representation type
Grid
Metadata language
eng
Character set
UTF8
Topic category
  • Farming
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Begin date
2012-07-01
End date
2012-10-31
Begin date
2013-07-01
End date
2013-10-31
Reference system identifier
EPSG / WGS 84 (3D) (EPSG:4326) / 7.9
Number of dimensions
2
Dimension name
Column
Dimension name
Row
Cell geometry
Area
Transformation parameter availability
No
Checkpoint Availability
No
Point in Pixel
Distribution format
  • GeoTIFF ( 1.0 )

Distributor

Distributor
  Gerald Forkuor
OnLine resource
WASCAL:WSC_landuse_landcover_4classes_ghana_2013_ras ( OGC:WMS-1.1.1-http-get-map )

4 Classes; Raster file in GeoTIFF

OnLine resource
WASCAL:WSC_landuse_landcover_11classes_ghana_2013_ras ( OGC:WMS-1.1.1-http-get-map )

11 Classes; Raster file in GeoTIFF

OnLine resource
Forkuor, G., Conrad, C., Thiel, M., Landmann, T., Barry, B., 2015. Evaluating the sequential masking classification approach for improving crop discrimination in the Sudanian Savanna of West Africa. Comput. Electron. Agric. 118, 380-389. doi:10.1016/j.compag.2015.09.020 ( WWW:LINK-1.0-http--link )
OnLine resource
README.pdf ( WWW:DOWNLOAD-1.0-http--download )

Data, Method and Result Summary of the Land Use and Land Cover Maps for Vea, Dano and Dassari

OnLine resource
WSC_landuse_landcover_ghana_2013_ras_ArcGIS.zip ( WWW:DOWNLOAD-1.0-http--download )

Raster files in GeoTIFF-Format (.tif, Utilizable in ArcGIS; ESRI Software), WGS 84, 4/11 Class Level

OnLine resource
WSC_landuse_landcover_ghana_2013_ras_ENVI.zip ( WWW:DOWNLOAD-1.0-http--download )

Raster files in .hdr/.dat-Format (Utilizable in ENVI; EXELIS Software), WGS 84, 4/11 Class Level

OnLine resource
WSC_landuse_landcover_ghana_2013_ras_ERDAS.zip ( WWW:DOWNLOAD-1.0-http--download )

Raster files in Image-Format (.img, Utilizable in ERDAS IMAGINE; ERDAS Inc. Software), WGS 84, 4/11 Class Level

Hierarchy level
Dataset
Source
File identifier
68fcd761-fe4a-4df3-a590-bda47cbd7421 XML
Metadata language
English
Character set
UTF8
Parent identifier
32f5dc92-ff30-4424-991e-61840a44c8ca 32f5dc92-ff30-4424-991e-61840a44c8ca
Date stamp
2021-03-19T10:06:20
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  Gerald Forkuor
+49 (0) 931 31-86692
+49 (0)931 31-87358
http://www.geographie.uni-wuerzburg.de/en/fernerkundung_neu/staff/mr_gerald_forkuor/
 
 

Overviews

overview
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Spatial extent

N
S
E
W
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Keywords

satellite
GEMET - Concepts, version 2.4
agriculture land use remote sensing watershed

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