6533b830fe1ef96bd1297bd6
RESEARCH PRODUCT
Simplified methods for spatial sampling: application to first-phase data of Italian National Forest Inventory (INFC) in Sicily
C CullottaM MaccariC CibellaMarco MarchettiL M La Mela Vecasubject
Forest inventoryLand useComputer scienceGeographic Information Systems - GISSample (statistics)ForestryLand coverClassification Corine Land Cover Geographic Information Systems - GIS Inverse Distance Weighting - IDW Land cover class Forest InventoryCorine Land CoverLand cover classClassificationSpatializationForest InventoryInverse Distance Weighting - IDWInverse distance weightinglcsh:SD1-669.5lcsh:ForestryCartographydescription
Abstract: Methodological approaches able to integrate data from sample plots with cartographic processes are widely applied. Based on mathematic-statistical techniques, the spatial analysis allows the exploration and spatialization of geographic data. Starting from the punctual information on land use types obtained from the dataset of the first phase of the ongoing new Italian NFI (INFC), a spatialization of land cover classes was carried out using the Inverse Distance Weighting (IDW) method. In order to validate the obtained results, an overlay with other vectorial land use data was carried out. In particular, the overlay compared data at different scales, evaluating differences in terms of degree of correspondence between the interpolated and reference land cover.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-09-20 | Forest@ |