Rainwater harvesting is an important step towards maximizing the water availability and land productivity in arid semi-arid areas. The present study shows that area of Ghazi Tehsil within Khyber Pakhtunkhwa Province, Pakistan, has great potential for rainwater due to its feasible climatic topographic conditions. This 348 km2 normally receives high rainfall annually, but, hilly terrain, bulk los...

This paper attempts to find the most accurate classification method among parallelepiped, minimum distance and chain methods. Moreover, this study also challenges to find the suitable combination of bands, which can lead to better results in case combinations of bands occur. After comparing these three methods, the chain method over perform the other methods with 79% overall accuracy. Hence, it...

This paper is a progress report of an ongoing research project from which the expected final product will be an integral system to model nonpoint source pollution in surface waters. Diffuse pollution models will be included in a decision support system with a unique platform, common interfaces and GIS capabilities. This system will accommodate preand post-processing tools, model control and sen...

This work deals with hyperspectral image analysis in the absence of ground-truth. The method adopts a projection pursuit (PP) procedure with entropy index to reduce the dimensionality followed by Markov Random Field (MRF) model based segmentation. Ordinal optimization approach to PP determines a set of “ good enough projections” with high probability the best among which is chosen with the help...

The aim of this paper is to propose the use of a dynamic plot model to improve landcover classification on a sequence of images. This new approach consists in representing the plot as a dynamic system and in modeling its evolution (knowledge about crop cycles) using the timed automata formalism. In order to refine results obtained by a traditional classifier, observations given by a preliminary...

Forest edges are key components of rural landscapes because they influence ecological processes at the interface between habitats. There is a variability of forest edges, according to their physiognomy, orientation, history and topography, but few methods are available to identify these different types of edges and to map them at a large scale. We propose to identify edge segments based on morp...

Many remote sensing applications require not only the land cover of extracted objects but also shape parameters of and structural relationships between areas of speciic landcover. Conventional sensors such as Landsat TM ooer suucient spectral resolution for land cover classiication. Their pixel size, however, is relatively high in relation to the observed objects, leading to a high percentage o...

The rapidly increasing volume of visual Earth Observation data calls for effective content based image retrieval solutions, specifically tailored for their high spatial resolution and heterogeneous content. In this paper, we address this issue with a novel local implementation of the well-known morphological descriptors called pattern spectra. They are computationally efficient histogram-like s...