8a658c25-b12a-4a8e-9030-768f79e63ed3 Bertrand Nero bfn8puo[at]gmail.com 2023-05-18T15:42:43 ISO 19115:2003/19139 1.0 Vegetation Data for Kumasi, Ghana, 2014 2014-12-22 2016-12-28 The file describes tree diameters at breast height (DBH) and heights measurements of green spaces in Kumasi Ghana. The elevation and ground distance data are used to calculate the actual heights of trees. Both DBH and height data are then used to estimate tree biomass using appropriate biomass allometric equations. The data is used to estimate green space carbon storage in the trees of Kumasi, Ghana Mr. Bertrand Yosangfo, Mr. Isaac Duah-Boateng assisted with field data collection Bertrand Nero Center for Development Research, Department Ecology and Natural Resources Management (ZEF C), University of Bonn Junior Researcher bfn8puo{at[gmail.com Ghana Statistical Service www.statsghana.gov.gh/ WWW:LINK-1.0-http--link Homepage of Ghana Statistical Service https://daten.zef.de:/geonetwork/srv/api/records/8a658c25-b12a-4a8e-9030-768f79e63ed3/attachments/type_datasets.png Thumb https://daten.zef.de:/geonetwork/srv/api/records/16d0f992-f6dd-4838-99ab-2d7b2a4403e4/attachments/type_datasets.png large_thumbnail png tree carbon biomass green space land use GEMET - Concepts, version 2.4 2010-01-13 geonetwork.thesaurus.external.theme.gemet Ghana Continents, countries, sea regions of the world. 2015-07-17 geonetwork.thesaurus.external.place.regions The work is liecensed under Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) https://creativecommons.org/licenses/by-sa/4.0/ Citation: Nero, B. (2016): Vegetation Data for Kumasi, Ghana, 2014. https://daten.zef.de/#/metadata/16d0f992-f6dd-4838-99ab-2d7b2a4403e4 environment biota -1.7522918472464544 -1.439181495727526 6.54563353895182 6.7993353018834295 2014-07-01 2014-12-31 1 Comma Separated Values (CSV) nn Center for Development Research zefdata[at]uni-bonn.de https://www.try-db.org/TryWeb/Home.php WWW:LINK-1.0-http--link Source of plant traits data Plant traits database https://resa.blackbridge.com/ WWW:LINK-1.0-http--link Source of Rapid Eye data RapidEye Science Archive https://daten.zef.de:/geonetwork/srv/api/records/8a658c25-b12a-4a8e-9030-768f79e63ed3/attachments/ZEF_bio_vegetation-data_kumasi-ghana_2014.zip WWW:DOWNLOAD-1.0-http--download ZEF_bio_vegetation-data_kumasi-ghana_2014.zip Data https://daten.zef.de:/geonetwork/srv/api/records/8a658c25-b12a-4a8e-9030-768f79e63ed3/attachments/ReadMe_Variables.txt WWW:DOWNLOAD-1.0-http--download ReadMe_Variables.txt https://landsatlook.usgs.gov/viewer.html WWW:LINK-1.0-http--link Source of Landsat data USGS LandsatLook Viewer Stratified random sample was used. The city was divided into 2 based on NDVI: (HDUZ with NDVI<0.11 and HDUZ with NDVI> 0.11). Green spaces were then generated within each zone and the vegetation sampled randomly based on random sample points generated using remote sensing techniques. Spatial data were obtained from RapidEye and Landsat.