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Benthic habitat is defined as ecological environment where marine animals, plants and other organisms live in. Benthic habitat mapping is defined as plotting the distribution and extent of habitats to...
The development and the application of rainfall-runoff models have been a corner-stone of hydrological research for many decades. The amount of rainfall and its intensity and variability control the g...
The study shows that leaf area index (LAI) and canopy chlorophyll content can be mapped in a heterogeneous Mediterranean grassland from canopy spectral reflectance measurements. Canopy spectral measur...
The aim of this study was to classify Envisat MERIS and Landsat ETM satellite sensor imagery using fuzzy classification techniques such as, linear mixture modelling and artificial neural networks. The...
The construction of 3D models, their realistic photo restitution via synthetic images and the development of dynamic simulations are the most suited and potentially richest tools for the reconstructio...
The Mediterranean region is a very complex world, under pressure of both natural and anthropogenic factors that interact with much larger scale phenomena. Local geographical and socio-economic conditi...
This paper describes a knowledge-based crop recognition system, integrating remote sensing analysis and geographical information in hierarchical way. Landsat TM and Spot pan images were merged to redu...
A demonstration service has been set up which provides near-real time information on oil slicks in support of national coast guards surveillance. From a 2-year continuous monitoring of busy ship route...
Estimation of soil moisture and vegetation biomass over wide regions is needed for a better understanding of ecological conditions and for monitoring desertification processes in fragile environments ...
In a classical approach, optical data are being used for forest fire detection in a rush mode. Difficulties arise due to persistent cloud coverage, haze layers and smoke plumes. In contrast, radar m...
A multi-scale object-based classification was carried out using data from three differentsensors to map classes of interest inthe framework of the EPISTIS project. This project aims to highlightthe sp...

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