In the European Region agriculture is the second largest water user after power industry cooling water use. As part of the implementation of Water Framework Directive EU Member States prepared their river basin management plans by the end of 2009 or first half of 2010, In these plans impacts of agriculture on water bodies have received attentio...n. The detailed information elaborated in the plans by countries and river basin districts were uploaded into the WFD section of the WISE system. This database provides opportunity for multi-criteria analysis for different water types. The paper discusses the effects of agriculture on hydromorphological pressures and impacts affecting surface water bodies. It was pointed out that among the pressures affecting European surface water bodies the hydromorphological and diffuse pressures represent the highest ratios (Figure 1). Within the hydromorphological pressures affecting classified surface water bodies the ratio of pressures related to agricultural activities is low,
it does not exceed 1% at European level. In case of Hungary the agriculture related river management pressures effect about 80% of the surface water bodies, which is much higher than the corresponding European average. The agricultural water abstractions affect about 10% of the Hungarian surface water bodies (Figures 2 and 3). The river and lake water bodies are impacted in significant ratio by nutrient enrichments and organic material enrichments, while in case of river water bodies the impact of organic material enrichments is also significant (Figures 4 and 5).
The more widely use of GIS, remote sensing technology provides appropriate data acquisition and data processing tools to build several national and international biodiversity monitoring system of environmental protection and natur conservation. The ChangeHabitats 2 is a similar international project, which uses airborne hyperspectral and airbor...ne laser scanning (airborne LiDAR) sources beyond traditional data collection methods to build a monitoring system of Natura 2000 habitats. The goal of our research, on one hand, was to separate the most typical species of trees which can be found in the largest coverage in the research plots of Debreceni Nagyerdő Nature Reserve from field and airborne remote sensing data, use image classification that based on spectral and geometry (height) characteristics of the trees. On the other hand our goal was to evaluate the efficient use of the integration of mobilGIS, airborne hyperspectral and airborne LiDAR data collecting methods to complement or substitut of the traditional, field data collecting methods. We used ArcGIS 10.2 and Exelis 5.0 GIS software for data evaluation, in which the mosaicing, the selection of plots and the spectral image processing were carried out.