The goal of this paper is to illustrate how INSPIRE can facilitate orientation and advice to calculate the water requirements of crops. These technologies can provide information adapted to specific conditions, updated daily and in an interactive way. These tools permit the integration and management of georeferenced agroclimatic data, soil maps, quality of waters, crop information and technical parameters of a farm.

This study is carried out to determine land use changes by Geographic Information Systems and Remote sensing methods in Yenimahalle district of Ankara province. Changes in land use were identified between 2000-2005 and 2000-2010. For the study Landsat-5 image of year 2000, Ikonos image of year 2005, and SPOT image of year 2010 were used. 1:25000 scale topo maps and soil maps, and CORINE land use data were also used. GPS data collected from field were used for ground truth studies.

In the frame of Agricultural Reform Implementation Project (ARIP) financed by World Bank, a regulation numbered 5495 and concerning the planning of the hazelnut production and determining of planting areas and supporting the farmers who make a choice of alternative crop farming instead of hazelnut farming was put in to practice in 2003.

Distiribution of erosion and its grade exited by climatic and topographic conditions was carried out depending on slope in Coruh watershed. Data necessary for determining of violence and grade of erosion having importance for relation between soil and plant were obtained from Erzurum province land resources map (1/100.000 scale) prepared by the General Direction of the Rural Work in 2000. The ArcGIS 9.1 sotware was used for digitalizing the map. It was determined that soils of the study area higly exposed to erosion and this situation is continue.

Uncertainties in agricultural activities due to the scarcity of water and the increase in droughts could be ameliorated by considering early detection and spatio-temporal characterization of water stress conditions at a regional scale from remote sensing. Theoretical aspects of the spatio-temporal assessment of vegetation indexes related with soil moisture, based on remote sensing and meteorological data are presented.

ILWIS for Windows is a Windows-based, integrated GIS and Remote Sensing application consisting of: (i) Display of raster and multiple vector maps in map windows; (ii) Display of tables in table windows; (iii) Interactive retrieval of attribute information, (iv) Image processing facilities, (v) Manipulation of maps in a Map Calculator; (vi) Manipulation of tables in a Table Calculator; (vii) GIS analysis tools and (viii) Script language to perform \'batch\' jobs. With Windows, you can start one operation and keep it running while you start one or more additional applications.

In the evaluation of the onset, severity and duration of situations of water stress and droughts, indicators based on processes with intensive use of remote sensing can be used. In the monitoring of agricultural activities as well as the management of water and forest resources, spatio-temporal distributions of information of actual evapotranspiration (ETact) are crucial. This work presents the theoretical aspects of spatio- temporal assessment of ETact process, from remote sensing and meteorological data.

The analysis of evaluable information on degradation and dangerous natural processes at the agricultural lands on Asian territory of the Russian Federation (according to the data of 1991-2015) was done. The natural processes negatively affecting the soil (available land) are divided into groups according to their hazard extent: a) processes oriented to destroy the soils and lands, b) processes changing the soil cover pattern and leading to degradation of soils and decreasing their fertility

Linear models were used to investigate the relationship between vegetation tiers (altitudinal vegetation zones) and variables derived from a digital elevation model - elevation and potential global radiation. The model was based on a sample of 138 plots located from the 2nd to the 5th vegetation tier. Potential global radiation was computed in r.sun module in geographic information system GRASS. The final model explained 84% of data variability and employed variables were found to be sufficient for modelling vegetation tiers in the study area.