The paradigm of integrated water resources management requires coupled analysis of hydrology and water resources in a river basin. Population growth and uncertainties due to climate change make historic data not a reliable source of information for future planning of water resources, hence necessitating climate and landuse change impact studies. This work presents an integrated modeling approac...

Agricultural drought is considered to be one of the man’s worst natural enemy. Its beginning is subtle, its progress is insidious and its effect can be devastating. In a country like India, drought is considered to be a major factor of uncertainty due to vagarious of monsoon. Once there was not effective drought assessment and monitoring system, but now remote sensing plays an important role an...

The Black Sea catchment (BSC) is facing important demographic, climatic and landuse changes that may increase pollution, vulnerability and scarcity of water resources, as well as beach erosion through sea level rise. Limited access to reliable time-series monitoring data from environmental, statistical, and socio-economical sources is a major barrier to policy development and decision-making. T...

In this paper, we to assess the level of pollution in the Akagera Transboundary River. The followings parameters namely NH4-N, NO3-N, PO4-P, Total Dissolved Solids (TDS), conductivity, pH, Temperature, and Turbidity were identified and quantified. Sampling was conducted a monthly basis from March 2008 to February 2009 at eleven sampling points on the Akagera River system. The landuse and land f...

In many publications the performance of different classification algorithms regarding to agricultural classes is evaluated. In contrast, this paper focuses on the potential of different imagery for the classification of the two most frequent classes: cropland and grassland. For our experiments three categories of imagery, high resolution aerial images, high resolution RapidEye satellite images ...

Earth observation provides regular information on urban development and could provide an important contribution to map and monitor structural characteristics of expanding cities. While most contemporary remote sensing research in urban environments tends to focus on high resolution satellite imagery, urban monitoring and modelling applications usually rely on extensive historic archives of land...