Abandoned coal mine spoils can result in severe pollution and have aesthetic on the local environment. A range of reclamation techniques is available for substrate but only through the use of vegetation to stabilize coal mine spoils can complete long-term rehabilitation be achieved. Experimentation has been undertaken at coal mine sites to attempt to elucidate and overcome limitations to vegeta...

In this paper, a near-realtime system for classification of GIS-objects is presented using multi-sensorial imagery. The system provides a framework for the integration of different kinds of imagery as well as any available data sources and spatial knowledge, which contributes information for the classification. The goal of the system is the assessment of infrastructure GIS-objects concerning th...

Cell-based Multicriteria Evaluation (MCE) methods are used to analyse the flood vulnerable areas. Flood disaster has a very special place in natural hazards. Its effect area is not bounded; it is an unusual event of a river basin. The aim in integrating Multicriteria Decision Analysis (MCDA) with Geographical Information Systems (GIS) is to provide more flexible and more accurate decisions to t...

In the real estate business, it is a common understanding that the value and the potential value of a property are fundamentally determined by its location. This emphasises the importance of spatial factor in decision making in real estate. A geographical information system (GIS) is undoubtedly useful in this aspect. This paper reports the development of a prototype real estate GIS (REGIS) by i...

Although typically small in terms of their spatial footprint, landslide hazards are relatively frequent in Northern Iran. In this study, we combine Geographic Information System (GIS), remote sensing and derive a landscape susceptibility map for Bostan Abad County, Iran. The main objective is an inventory evaluation and zonation of natural landslides. This 2685 square kilometer sized county is ...

The capability of geographical information systems (GIS) to display images and analyse them is one of the most powerful, because people lnave a very consistent ability to reason about visual features according to their own knowledge model. As images are accepted as a symbolic view of the world, with familiar and intuitive entities, the set of tasks we desire for the performance Cc the GIS inclu...

This paper aims to develop a new methodology for monitoring forest disturbances and regrowth using ALOS PALSAR data in tropical regions. In the study, forest disturbances and regrowth were assessed between 2007 and 2010 in Vietnam, Cambodia and Lao People’s Democratic Republic. The deforestation rate in Vietnam has been among the highest in the tropics in the last few decades, and those in Camb...

Weather elements are the most important parameters in metrological and hydrological studies especially in semi-arid regions, like Jordan. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is used here to predict the minimum and maximum temperature of rainfall for the next 10 years using 30 years’ time series data for the period from 1985 to 2015. Several models were used based on different memb...

In spatial analysis buffer impact areas are called hotspots and are determined by means of density clustering methods. In a previous work, we found these hotspots in the context of a Geographic Information System (GIS) by using the extended fuzzy C-means (EFCM). Here we show how the spatial distribution of the hotspots can evolve temporally and like applicational example, we present the spatial...

Due to unconstrained illumination conditions, noise, atmospheric pressure and temperature fluctuations; quality of image is affected. Extraction of roads from digital aerial/satellite imagery is not only scientifically challenging but also of major importance for data acquisition and update of geographic information system (GIS), databases or site models and thus can be a big help in car naviga...