{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"b8b0a5ef-880e-4556-8306-0df9a209facd","name":"time-series-forage-provision-maps-metabolisable-energy-yield-covering-vea-catchment-ghana","title":"Time Series of Forage Provision Maps (Metabolisable Energy Yield) covering the Vea Catchment (Ghana, Burkina Faso), 2015-16","author":"Jessica Ferner","author_email":"christiana.olusegun@kit.edu","maintainer":"WASCAL Scientific Research Data Catalog ","maintainer_email":"sysadmin@wascal.org","license_title":"https:\/\/opendatacommons.org\/licenses\/odbl\/1.0\/","notes":"\u003Cp\u003EThe time series of maps is showing three differnt forage parameters (green biomass, metabolisable energy, metabolisable energy yield) from 04.12.2015 to 29.09.2016. The covered area matches the Vea catchment at the border region of Ghana and Burkina Faso.\u003C\/p\u003E\n\u003Cp\u003EFor model calibration, data was collected during the rainy season 2012 at 21 sites spread along a north-south climate gradient reaching from northern Ghana to central Burkina Faso. Spectral reflectance measurements of vegetation plots were performed using a FieldSpec 3 Hi-Res Portable Spectroradiometer (ASD Inc., Boulder, CO, USA). Partial least squares regression was used to calibrate spectral models between reflectance data and forage characteristics (green biomass \u0026amp; metabolisable energy). Metabolisable enrgy yield was calculated based on the other two forage parameters. For more details regarding sampling design and model calibration, see Ferner, Linst\u00e4dter et al. (2015).\u003C\/p\u003E\n\u003Cp\u003ESentinel-2 images were acquired for twelve dates. Imagery was atmospherically corrected using the plugin \u2018sen2cor\u2019 within the SNAP toolbox, provided by the European Space Agency (ESA).\u003C\/p\u003E\n\u003Cp\u003ETo assure that forage models were only applied on vegetated areas, a vegetation mask was build based on MESMA (multiple endmember spectral mixture analysis) and only pixels with a fractional cover of green vegetation of more than 30% were used. Finally, forage provision models resampled to Sentinel-2 spectral resolution were applied to obtain maps of estimated forage provision.\u003C\/p\u003E\n\u003Cp\u003EFurther information:\u003C\/p\u003E\n\u003Cp\u003EFerner, J., Linst\u00e4dter, A., S\u00fcdekum, K. H., \u0026amp; Schmidtlein, S. (2015). Spectral indicators of forage quality in West Africa\u2019s tropical savannas. International Journal of Applied Earth Observation and Geoinformation, 41, 99-106.\u003C\/p\u003E\n","url":"https:\/\/wascal-dataportal.org\/?q=dataset\/time-series-forage-provision-maps-metabolisable-energy-yield-covering-vea-catchment-ghana","state":"Active","log_message":"Update to resource \u0027\tTime Series of Forage Provision Maps (Metabolisable Energy Yield) covering the Vea Catchment (Ghana, Burkina Faso), 2015-16    \u003Cstrong\u003E (Please contact by email the distributor to get access to the data) \u003C\/strong\u003E\u0027","private":true,"revision_timestamp":"Mon, 03\/31\/2025 - 07:43","metadata_created":"Tue, 09\/17\/2019 - 17:07","metadata_modified":"Mon, 03\/31\/2025 - 07:43","creator_user_id":"486d993f-80bb-47e9-87d0-0ec4da756df0","type":"Dataset","resources":[{"id":"de5e7970-f86c-41ea-a85d-bd5d3193c04a","revision_id":"","url":"","description":"\u003Cp\u003EThe time series of maps is showing three differnt forage parameters (green biomass, metabolisable energy, metabolisable energy yield) from 04.12.2015 to 29.09.2016. The covered area matches the Vea catchment at the border region of Ghana and Burkina Faso.\u003C\/p\u003E\n\u003Cp\u003EFor model calibration, data was collected during the rainy season 2012 at 21 sites spread along a north-south climate gradient reaching from northern Ghana to central Burkina Faso. Spectral reflectance measurements of vegetation plots were performed using a FieldSpec 3 Hi-Res Portable Spectroradiometer (ASD Inc., Boulder, CO, USA). Partial least squares regression was used to calibrate spectral models between reflectance data and forage characteristics (green biomass \u0026amp; metabolisable energy). Metabolisable enrgy yield was calculated based on the other two forage parameters. For more details regarding sampling design and model calibration, see Ferner, Linst\u00e4dter et al. (2015).\u003C\/p\u003E\n\u003Cp\u003ESentinel-2 images were acquired for twelve dates. Imagery was atmospherically corrected using the plugin \u2018sen2cor\u2019 within the SNAP toolbox, provided by the European Space Agency (ESA).\u003C\/p\u003E\n\u003Cp\u003ETo assure that forage models were only applied on vegetated areas, a vegetation mask was build based on MESMA (multiple endmember spectral mixture analysis) and only pixels with a fractional cover of green vegetation of more than 30% were used. Finally, forage provision models resampled to Sentinel-2 spectral resolution were applied to obtain maps of estimated forage provision.\u003C\/p\u003E\n\u003Cp\u003EFurther information:\u003C\/p\u003E\n\u003Cp\u003EFerner, J., Linst\u00e4dter, A., S\u00fcdekum, K. H., \u0026amp; Schmidtlein, S. (2015). Spectral indicators of forage quality in West Africa\u2019s tropical savannas. International Journal of Applied Earth Observation and Geoinformation, 41, 99-106.\u003C\/p\u003E\n","format":"csv","state":"Active","revision_timestamp":"Mon, 03\/31\/2025 - 07:43","name":"\tTime Series of Forage Provision Maps (Metabolisable Energy Yield) covering the Vea Catchment (Ghana, Burkina Faso), 2015-16    \u003Cstrong\u003E (Please contact by email the distributor to get access to the data) \u003C\/strong\u003E","mimetype":"csv","size":"","created":"Tue, 09\/17\/2019 - 17:09","resource_group_id":"","last_modified":"Date changed  Mon, 03\/31\/2025 - 07:43"}]}]}