86713e3d-9a23-40e9-bc05-526800a50e39 eng Gond, Valéry Centre de coopération internationale en recherche agronomique pour le développement (CIRAD) valery.gond@cirad.fr AMAP géoportail Institut de recherche pour le développement (IRD) amap.geoportail@ird.fr 2025-01-28T06:00:14 ISO 19115:2003/19139 1.0 WGS 84 / UTM zone 22N (EPSG:32622) EPSG 7.9 Broad-scale spatial pattern of forest landscape types in the Guiana Shield, 2011 2011-07-01 CEBA_forest2011 The dataset identifies, characterizes and maps distinct forest landscape types within the evergreen lowland rainforest at the subcontinental scale. Gond, Valéry Centre de coopération internationale en recherche agronomique pour le développement (CIRAD) valery.gond@cirad.fr http://vmamapgn-test.mpl.ird.fr/geonetwork/srv/eng/resources.get?uuid=86713e3d-9a23-40e9-bc05-526800a50e39&fname=Guiana_shield_map_2011_s.png thumbnail png http://vmamapgn-test.mpl.ird.fr/geonetwork/srv/eng/resources.get?uuid=86713e3d-9a23-40e9-bc05-526800a50e39&fname=Guiana_shield_map_2011.png large_thumbnail png Land cover GEMET - INSPIRE themes, version 1.0 INSPIRE themes 2008-06-01 geonetwork.thesaurus.external.theme.inspire-theme vegetation remote sensing tropical forest GEMET - Concepts, version 2.4 2010-01-13 geonetwork.thesaurus.external.theme.gemet South America Americas France French Guiana Geounits 2016-01-01 geonetwork.thesaurus.external.place.ird_geounits regional coverage labex CEBA Please get in touch with a point of contact. eng geoscientificInformation -65 -48 -4 11 2011-01-01 2011-01-01 Bibliography: Gond V., Freycon V., Molino J.F., Brunaux O., Ingrassia F., Joubert P., Pekel J.F., Prévost M.F., Thierron V., Trombe P.J., Sabatier D.. 2011. International journal of applied earth observation and geoinformation, 13 (3) : 357-367. GeoTIFF 1.0 http://publications.cirad.fr/une_notice.php?dk=558656 WWW:LINK-1.0-http--related Gond V., Freycon V., Molino J.F., Brunaux O., Ingrassia F., Joubert P., Pekel J.F., Prévost M.F., Thierron V., Trombe P.J., Sabatier D.. 2011. International journal of applied earth observation and geoinformation, 13 (3) : 357-367. This dataset is based on the analysis of a 1 year daily data set (from January 1st to December 31st. 2000) from the VEGETATION sensor onboard the SPOT4 satellite (1 km spatial resolution). We interpreted remotely sensed landscape classes (RSLC) from field and high resolution remote sensing data of 21 sites in French Guiana. We crossanalyzed remote sensing data, field observations and environmental data using multivariate analysis. We obtained 33 remotely sensed landscape classes (RSLC) among which five forestRSLC representing 78 % of the forested area. The latter were classified as different broad forest landscape types according to a gradient of canopy openness. Their mapping revealed a new and meaningful broadscale spatial pattern of forest landscape types. At the scale of the Guiana Shield. we observed a spatial patterns similarity between climatic and forest landscape types. The two most open forestRSLCs were observed mainly within the northwest to southeast dry belt. The three other forest RSLCs were observed in wetter and less anthropized areas, particularly in the newly recognized “Guianan dense forest arch”. Better management and conservation policies as well as improvement of biological and ecological knowledge require accurate and stable representations of the geographical components of ecosystems.