Facing the relative lag of forest ecosystem service and estimation in China, this paper proposed to quickly carry out the research on the evaluation of forest ecosystem service. On the basis of the classification of forest ecosystem types in China, the service of artificial and semi-artificial forest ecosystems was investigated, which was divided into eight types, i.e., timber and other product...

This research evaluates the utility and performance of a machine learning decision tree classification technique – random forests – for forest classification using remote sensing and ancillary spatial data, across a large area of heterogeneous forest ecosystems in Victoria, Australia. Random forest classification models for forest extent, type and height were trained using 786 2 km x 2 km aeria...

Canopy analysis was carried out in order to classify the differences between vegetation types at the Szárazvölgy flotation sludge reservoir. Supervised classification methods were used to distinguish 8 vegetation types based on the spectral properties of the area: forest (Quercus sp.), young deciduous forest, reed (Phragmites sp.) and aquatic plants, false indigo (Amorpha fruticosa), Australian...

Monitoring changes in landscape cover types has been a great concern for forest and wildlife managers. Both managers find it very important to know how much area is suitable for wildlife species and what areas are affected due to anthropogenic pressure. To address these concerns, evaluation of Chandoli National Park was done to see the changes that have taken place over the past 28 years. The N...

The present study addresses the potential of Synthetic Aperture Radar (SAR) data for land cover classification in parts of Dandeli forested regions, Karnataka, India. a FCC has been generated from coherence and backscattering co-efficient images of ENVISATASAR data (HH polarizations) of 25 Sep 2006 and 30 Oct 2006. Similarly, ENVISAT-ASAR data (HH polarization) of 25 Sep 2006 along with IRS –P6...

In this paper a supervised approach for the object building / segmentation process utilizing a priori knowledge about the specific scale domain of the target features is proposed. One premise was that the result should finally represent the entire scene content in a spatially contiguous one-level-representation (OLR, Lang & Langanke, 2006). High-level segmentation and pre-classification of mult...