Declines in habitat and wildlife in semiarid African savannas arefrequently attributed to factors such as agropastoral population growth, livestock impacts, and subsistence cultivation.

This study established the possibility of rapid evaluation of land cover structure and situation using as an example the Temelin Nuclear Power Plant (Czech Republic) emergency zone. The composition, surface representation and spatial distribution of crop species in the area of interest were assessed on the basis of satellite data analysis (Landsat 5 TM). The supervised classification method of Landsat data yielded 92% accuracy of classification into the land cover classes.

The present paper gives an overview of the survey of LUCAS points in Slovakia. The Land Use/Cover Area frame Statistical survey was designed to collect agricultural, environmental data and photographs by field observation of a specific geographically referenced point. LUCAS 2006 survey in the Slovak Republic was carried out by a Soil Science and Conservation Research Institute (SSCRI).The survey of 3 392 points was organized from the 21st of March till 16th of July. The measurements were carried out by 7teams (in pairs). All points had to be visited, measured with GPS and documented.

This study aims to explore and quantify systematic similarities and differences between four major global cropping systems products: the dataset of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000), the spatial production allocation model (SPAM), the global agroecological zone (GAEZ) dataset, and the M3 dataset developed by Monfreda, Ramankutty, and Foley.

The main objective of the training workshop was to train the participants in reviewing and

analysing the remote sensing based forest classifications in their countries to facilitate the

harmonization and standardization at the sub-region and regional level and it included the

new demands of remote sensing based information for reporting to Convention on Biological

Diversity (CBD) in the year 2010. A supplementary objective was to inform the participants

about the proposed design and the implementation process of the remote sensing component

The habitat of tsetse fly (Glossina spp.) depends upon climatic conditions, host

availability and land cover characteristics. In this paper, the Land Cover Classification

System (LCCS), developed by the Food and Agriculture Organization (FAO) and the

United Nations Environment Programme (UNEP), is proposed as a tool to harmonize

land cover mapping exercises carried out in the context of tsetse and trypanosomiasis

(T&T) research and control. Habitat modifications are

Land cover maps constitute a necessary tool for development planning and management of the territory. Furthermore, land cover maps depicting the current reality are a must in countries where, due to political changes, rapid dynamic phenomena have taken place, resulting in a complete restructuring of the agricultural and other sectors, as in the case of Bulgaria.

The scale of such maps should be large enough to provide detailed information, however it should allow for regional assessment, statistics and subsequent planning. The 1:50 000 scale is the most suited for this exercise.

Book chapter