Mapping functional diversity from remotely sensed morphological and physiological forest traits

Modeling α- and β-diversity in a tropical forest from remotely sensed and spatial data

Comprehensive information on species distribution and species composition patterns of plant communities is required for effective conservation and management of biodiversity. Remote sensing offers an inexpensive means of attaining complete spatial coverage for large areas, at regular time intervals, and can therefore be extremely useful for estimating both species richness and spatial variation...

Reclaimed Areas Mapping by Remotely Sensed Data

In the last decade several mining areas and corresponding dumps are subject to reclamation process in Bulgaria. We focused our research on one of the most important in the copper production for 20 year period for our country – Medet deposit. This mining complex consists of an open cast mine, the overburden dumps and a processing plant. After ceasing its exploitation in 1994 a rehabilitation pro...

Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery

A simple, efficient algorithm is presented for sub-pixel target mapping from remotely-sensed images. Following an initial random allocation of “soft” pixel proportions to “hard” subpixel binary classes, the algorithm works in a series of iterations, each of which contains three stages. For each pixel, for all sub-pixel locations, a distance-weighted function of neighboring sub-pixels is compute...

Super-resolution Target Mapping from Soft-Classified Remotely Sensed Imagery

A simple, efficient algorithm is presented for super-resolution target mapping from remotely sensed images. Following an initial random allocation of pixel proportions to binary 'hard' sub-pixel classes, the algorithm works in a series of iterations, each of which contains two stages. For each iteration, a distance weighted function of neighbouring pixels is computed for all sub-pixels. Then, o...

Integrating GIS and Remotely Sensed Data for Mapping Forest Disturbance and Change