68fcd761-fe4a-4df3-a590-bda47cbd7421 32f5dc92-ff30-4424-991e-61840a44c8ca Gerald Forkuor +49 (0) 931 31-86692 +49 (0)931 31-87358 gforkuor@yahoo.com http://www.geographie.uni-wuerzburg.de/en/fernerkundung_neu/staff/mr_gerald_forkuor/ WWW:LINK-1.0-http--link Department of Remote Sensing, University of Wuerzburg 2021-03-19T10:06:20 ISO 19115:2003/19139 1.0 2 false false WGS 84 (3D) (EPSG:4326) EPSG 7.9 Agricultural Land Use Maps at RapidEye (5m) Scale for Vea Watershed (Ghana) 2012 and 2013 2014-04-28 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 To be used in a wide range of biophysical and economic models within the WASCAL community Gerald Forkuor University of Wuerzburg Junior Researcher +49 (0) 931 31-86692 +49 (0)931 31-87358 Oswald-Külpe-Weg 86 Wuerzburg Free State of Bavaria 97074 Germany gforkuor@yahoo.com http://www.geographie.uni-wuerzburg.de/en/fernerkundung_neu/staff/mr_gerald_forkuor/ WWW:LINK-1.0-http--link Department of Remote Sensing, University of Wuerzburg https://wascal-dataportal.org/geonetwork/srv/eng/resources.get?uuid=68fcd761-fe4a-4df3-a590-bda47cbd7421&fname=RSIM_thumbnail_vea.png large_thumbnail png land use watershed agriculture remote sensing GEMET - Concepts, version 2.4 2010-01-13 geonetwork.thesaurus.external.theme.gemet satellite Ghana Western Africa Region 2006-09-22 geonetwork.thesaurus.external.place.regions Vea 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 32f5dc92-ff30-4424-991e-61840a44c8ca eng farming -1.0357659786157323 -0.7281487911585187 10.688238605474615 11.079328461470038 2012-07-01 2012-10-31 2013-07-01 2013-10-31 GeoTIFF 1.0 Gerald Forkuor gforkuor@yahoo.com https://daten.zef.de/geoserver/wms OGC:WMS-1.1.1-http-get-map WASCAL:WSC_landuse_landcover_4classes_ghana_2013_ras 4 Classes; Raster file in GeoTIFF https://daten.zef.de/geoserver/wms OGC:WMS-1.1.1-http-get-map WASCAL:WSC_landuse_landcover_11classes_ghana_2013_ras 11 Classes; Raster file in GeoTIFF http://www.sciencedirect.com/science/article/pii/S0168169915002951 WWW:LINK-1.0-http--link 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 https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=68fcd761-fe4a-4df3-a590-bda47cbd7421&fname=README.pdf&access=private WWW:DOWNLOAD-1.0-http--download README.pdf Data, Method and Result Summary of the Land Use and Land Cover Maps for Vea, Dano and Dassari https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=68fcd761-fe4a-4df3-a590-bda47cbd7421&fname=WSC_landuse_landcover_ghana_2013_ras_ArcGIS.zip&access=private WWW:DOWNLOAD-1.0-http--download WSC_landuse_landcover_ghana_2013_ras_ArcGIS.zip Raster files in GeoTIFF-Format (.tif, Utilizable in ArcGIS; ESRI Software), WGS 84, 4/11 Class Level https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=68fcd761-fe4a-4df3-a590-bda47cbd7421&fname=WSC_landuse_landcover_ghana_2013_ras_ENVI.zip&access=private WWW:DOWNLOAD-1.0-http--download WSC_landuse_landcover_ghana_2013_ras_ENVI.zip Raster files in .hdr/.dat-Format (Utilizable in ENVI; EXELIS Software), WGS 84, 4/11 Class Level https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=68fcd761-fe4a-4df3-a590-bda47cbd7421&fname=WSC_landuse_landcover_ghana_2013_ras_ERDAS.zip&access=private WWW:DOWNLOAD-1.0-http--download WSC_landuse_landcover_ghana_2013_ras_ERDAS.zip Raster files in Image-Format (.img, Utilizable in ERDAS IMAGINE; ERDAS Inc. Software), WGS 84, 4/11 Class Level