ADVANCED EARTH OBSERVATION APPROACH FOR MULTISCALE FOREST ECOSYSTEM SERVICES MODELING AND MAPPING (MIMOSE)

摘要: In the last decade ecosystem services (ES) have been proposed as a method for quantifying multifunctional role of forest ecosystems. Their spatial distribution on large areas is frequently limited by lack information, because field data collection with traditional methods requires much effort in terms time and cost.  this contribution we propose methodology (namely, MultIscale Mapping Of ecoSystem servicEs - MIMOSE) based integration remotely sensed images observation to produce wall-to-wall geodatabase parcels accompanied several information useful basis future trade-off analysis different ES. Here, present application MIMOSE approach study area 443,758 hectares  coincident administrative Molise Region Central Italy. The procedure local high resolution types map integrated main management approaches. Through non-parametric k-Nearest Neighbors techniques, produced growing stock volume integrating inventory multispectral satellite IRS LISS III imagery. With derived age even-aged types. Later these were used automatically create vector multidimensional image segmentation that finally populated number ES estimation. briefly introduce presenting preliminary results achieved which constitute implementation modeling.