f47e6c32-5b44-4923-92c7-35bf82e0b797 eng Guitet, Stéphane Office national des forêts (ONF) stephane.guitet@onf.fr AMAP géoportail Institut de recherche pour le développement (IRD) amap.geoportail@ird.fr 2025-01-28T06:01:24 ISO 19115:2003/19139 1.0 WGS 84 / UTM zone 22N (EPSG:32622) EPSG 7.9 French Guiana landscape map 2012 2012-01-01 CEBA_landscape2012 This landscape dataset was built using Shuttle Radar Topography Mission (SRTM) data with full resolution (1 arc sec ~ 30m). This map aims at evaluating the geodiversity of natural areas. Twelve landscape types into 5 main categories have been identied with respect to Migon's typology (2006): the coastal plains landscapes (AA. AB. AC); the typical multi-convex landscapes (B. I. J); the multi-concave and joint-valley landscapes (C.D); the more or less dissected plateau (E.F.G) and the all-slopes topography (H). The map was produced at the request of the French Guianan public forest manager of the Office National des Forêts (ONF). Guitet, Stéphane Office national des forêts (ONF) stephane.guitet@onf.fr http://vmamapgn-test.mpl.ird.fr/geonetwork/srv/eng/resources.get?uuid=f47e6c32-5b44-4923-92c7-35bf82e0b797&fname=CEBA_landscape2012_s.png thumbnail png http://vmamapgn-test.mpl.ird.fr/geonetwork/srv/eng/resources.get?uuid=f47e6c32-5b44-4923-92c7-35bf82e0b797&fname=CEBA_landscape2012.png large_thumbnail png Geology GEMET - INSPIRE themes, version 1.0 INSPIRE themes 2008-06-01 geonetwork.thesaurus.external.theme.inspire-theme relief (land) geomorphology 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 national coverage labex CEBA Please get in touch with a point of contact. 1000000 eng geoscientificInformation -54.5 -51.5 2 6 2012-01-01 2012-01-01 Bibliography: Guitet S.. Cornu J.-F.. Brunaux O.. Betbeder J.. Carozza J.-M. Richard-Hansen C.(2013) : Landform & landscape mapping. French Guiana (South America). Journal of Map. DOI:10.1080/17445647.2013.785371 ESRI Shapefile 1.0 http://www.tandfonline.com/doi/abs/10.1080/17445647.2013.785371 WWW:LINK-1.0-http--related Guitet S.. Cornu J.-F.. Brunaux O.. Betbeder J.. Carozza J.-M. Richard-Hansen C.(2013) : Landform & landscape mapping. French Guiana (South America). Journal of Map. DOI:10.1080/17445647.2013.785371 The landscape map was computed by analyzing the spatial distribution of the different types of landforms. This analysis was conducted in five steps. At first. a manual expert segmentation was performed based on landforms spatial distribution, searching to draw homogenous region based on repeated pattern or dominant type. Secondly, 3 local indices were computed from the landforms map on 1.5 x 1.5 km sliding windows: the Shannon-weaver diversity index, the contagion index, and the majority index (O'Neill et al.. 1988, Mc Garigal et al.. 2002). Thirdly, each boundary of the manual segmentation was compared with maps of the 3 indices for validation. In case of inconsistency, the landscape segmentation was modified in the light of the spatial variability of these indices. Then another Principal Components Analysis was performed with 14 variables computed for each region (average Shannon index. average Contagion index and relative proportions of the 12 different types). A hierarchical cluster analysis was performed to assign each unit to a natural landscape type. At last, permutations tests were used to highlight relations between landscape and landforms type and to interpret them. The different maps and models were compared to topographic field data that have been collected on 92 transects totalizing 260 km length. These data including natural habitat descriptions, topographic profiles, and soil collections were collected on 24 sites distributed through French Guiana in order to represent the maximum of geographic and ecological variability. Habitat descriptions are used to validate the hydromorphy model. Slope, elevation levels and topographic position occurrence measured on the transect help to interpret landforms and landscape classes. A Garmin GPS (60CSX) was used to geolocalize the data. Slope angles and distances were measured with Vertex laser rangefinder. Landscape analysis was conducted with Fragstat freeware v2 (Mc Garigal et al.. 2002) and statistical analyses with the R1.9 package (Team. 2009). The landscape map. based on landforms analysis. has to be used at the scale 1:1 000 000 to 1:2 000 000.