Urban growth identification, quantification, and the knowledge of rate and trends of growth helps in determining the changes associated with land use and land cover properties and in regional planning with better infrastructure in environmentally sound way. Spatial and temporal technologies such as Remote Sensing, Geographic Information System (GIS) and Global Positioning System (GPS) are very ...

Understanding the complexity of urban expansion requires an analysis of the factors influencing the spatial and temporal processes of rural-urban land conversion. This study aims at building a statistical land conversion model to assist in understanding land use change patterns. Specifically, GIS coupled with a logistic regression model and exponential smoothing techniques is used for exploring...

The relative importance of agricultural land retirement on water quality and aquatic-community health was investigated in the Minnesota River Basin. Eighty-two sites, with drainage areas ranging from 4.3 to 2200 km, were examined for nutrient concentrations, measures of aquatic-community health (e.g., fish index of biotic integrity [IBI] scores), and environmental factors (e.g., drainage area a...

A simple method that incorporates coupling between bath and system and between individual bath modes is proposed. In Ž . the new locally propagating gaussian LPG approximation, the bath is modeled by Gaussians at each system site that propagate in time. Each site couples to others by the overlap of their Gaussians. In a test case with weak but non-negligible coupling, LPG is nearly as rapid as ...

We present some techniques for planning in temporal domains specified with the recent standard languange PDDL2.1. These techniques are implemented in LPG, a fully-automated system that took part in the third International Planning Competition (Toulouse, 2002) showing excellent performance. The planner is based on a stochastic local search method and on a graph-based representation called “Tempo...

The paper studies the applicability of various data mining techniques on aerial remote sensing imagery for automatic land-cover classification. Four techniques are applied, namely the Adaptive Dynamic K-means (ADK), Self Organizing Feature Map (SOFM), Machine Learning Induction Algorithm (C4.5) and Support Vector Machines (SVM). Special attention is drawn to the usefulness of these data mining ...

ABSTRACT: The MODIS images have been useful for a wide range of land, ocean and atmosphere phenomena. However, 1km resolution would not be enough to detect land changes for small areas comprised of various land cover types. For this study, wavelet-based fusion and adaptive regression model were applied for improvement MODIS five 500m bands, and outputs are compared by some evaluation indicators...

This paper presents scenario-based modelling of urban land use which stem from interactions of the urban functions of Sakarya, one of the most important city for agricultural production and a vulnerable region in terms of natural resources and seismicity in Turkey. The purpose of the paper is to estimate the future land use pattern of Sakarya and discuss the environmental effects of alternative...

Land degradation impacts on several critical environmental issues such as food security, diminishing quality and quantity of fresh water resources, preservation of natural resources, loss of biodiversity, and global climate change. Land degradation is responsible for soil erosion and can eventually lead to desertification. The International Convention to Combat Desertification (CCD) defines des...

Polarimetry is the measurement and interpretation of different polarizations of electro-magnetic waves. Synthetic Aperture Radar (SAR) has been proven to be a powerful earth observation tool and emerging Polarimetric SAR (POLSAR) adds another dimension to SAR information content. Polarimetric SAR has been used in retrieval of soil moisture and surface roughness, snow and ice mapping and land-co...