{ "currentVersion": 10.61, "id": 10, "name": "Land Cover Africa", "type": "Raster Layer", "description": "Abstract. This study aims to contribute to the understandingof the Congo Basin forests by delivering a detailed mapof vegetation types with an improved spatial discriminationand coherence for the whole Congo Basin region. A totalof 20 land cover classes were described with the standardizedLand Cover Classification System (LCCS) developedby the FAO. Based on a semi-automatic processing chain, theCongo Basin vegetation types map was produced by combining19 months of observations from the Envisat MERIS fullresolution products (300 m) and 8 yr of daily SPOT VEGETATION(VGT) reflectances (1 km). Four zones (north, southand two central) were delineated and processed separatelyaccording to their seasonal and cloud cover specificities. Thediscrimination between different vegetation types (e.g. forestand savannas) was significantly improved thanks to theMERIS sharp spatial resolution. A better discrimination wasachieved in cloudy areas by taking advantage of the temporalconsistency of the SPOT VGT observations. This resulted ina precise delineation of the spatial extent of the rural complexin the countries situated along the Atlantic coast. Basedon this new map, more accurate estimates of the surface areasof forest types were produced for each country of theCongo Basin. Carbon stocks of the Basin were evaluated toa total of 49 360 million metric tons. The regional scale ofthe map was an opportunity to investigate what could be anappropriate tree cover threshold for a forest class definitionin the Congo Basin countries. A 30% tree cover thresholdwas suggested. Furthermore, the phenology of the differentvegetation types was illustrated systematically with EVI temporalprofiles. This Congo Basin forest types map reacheda satisfactory overall accuracy of 71.5% and even 78.9%when some classes are aggregated. The values of the Cohen\u2019skappa coefficient, respectively 0.64 and 0.76 indicates a resultsignificantly better than random.", "geometryType": null, "copyrightText": "A. Verhegghen1, P. Mayaux2, C. de Wasseige3, and P. Defourny1\n1Earth and Life Institute, Universit“e catholique de Louvain, 2 box L7.05.16, 1348 Louvain-la-Neuve, Belgium\n2European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749,\n21027 Ispra (VA), Italy\n3Observatory for the Forests of Central Africa (OFAC), 14, Avenue Sergent Moke, (Concession Safricas), Q/Socimat,\nC/Ngaliema, Kinshasa, Democratic Republic of Congo", "parentLayer": null, "subLayers": [], "minScale": 0, "maxScale": 0, "defaultVisibility": false, "extent": { "xmin": 610865.6979357244, "ymin": -1689681.92274533, "xmax": 3674009.4701103615, "ymax": 2815306.4841130376, "spatialReference": { "wkid": 102100, "latestWkid": 3857 } }, "hasAttachments": false, "htmlPopupType": "esriServerHTMLPopupTypeNone", "displayField": "", "typeIdField": null, "subtypeFieldName": null, "subtypeField": null, "defaultSubtypeCode": null, "fields": null, "geometryField": {}, "indexes": [], "subtypes": [], "relationships": [], "canModifyLayer": false, "canScaleSymbols": false, "hasLabels": false, "capabilities": "Map,Query", "supportsStatistics": false, "supportsAdvancedQueries": false, "supportedQueryFormats": "JSON, AMF, geoJSON", "isDataVersioned": false, "ownershipBasedAccessControlForFeatures": {"allowOthersToQuery": true}, "useStandardizedQueries": true, "advancedQueryCapabilities": { "useStandardizedQueries": true, "supportsStatistics": false, "supportsHavingClause": false, "supportsCountDistinct": false, "supportsOrderBy": false, "supportsDistinct": false, "supportsPagination": false, "supportsTrueCurve": false, "supportsReturningQueryExtent": true, "supportsQueryWithDistance": true, "supportsSqlExpression": false }, "supportsCoordinatesQuantization": true }