Land management and improvement of computer technologies in land use are one of the most important tasks of the state; their effective implementation is closely linked to the widespread implementation of modern achievements of information technology. The achievement of the maximum transparency of the processes is vital in the field of geo-information and spatial data resources during increasing the reliability and manageability of the infrastructure.

The aim of research was to study the advanced reclamation techniques to deal with the irrigated land degradation (the rise of the groundwater, resalting, dehumification, etc.). Research was undertaken in some farms in the dry steppe zone of Saratov Trans–Volga region. The object of research was degrated (hydrogenic, solonized, saline, fractured) irrigated dark chestnut soils. The prediction of water–salt regimes on the basis of mathematical modeling of moisture and salt transfer in soils of aeration zone was carried out.

Although Ethiopia has abundant land for irrigation, only a fraction of its potential land is being utilized. This study evaluates suitability of lands for irrigation using groundwater in Ethiopia using GIS-based Multi-Criteria Evaluation (MCE) techniques in order to enhance the country's agricultural industry. Key factors that significantly affect irrigation suitability evaluated in this study include physical land features (land use, soil, and slope), climate (rainfall and evapotranspiration), and market access (proximity to roads and access to market).

In the Mongolian Plateau, the desert steppe, mountains, and dry lake bed surfaces may affect the process of dust storm emissions. Among these three surface types, dry lake beds are considered to contribute a substantial amount of global dust emissions and to be responsible for “hot spots” of dust outbreaks. The land cover types in the study area were broadly divided into three types, namely desert steppe, mountains, and dry lake beds, by a classification based on Normalized Difference Water Index (NDWI) calculated from MODIS Terra satellite images, and Digital Elevation Model (DEM).

Remote sensing-based assessments of large river basins such as the Krishna, which supplies water to many states in India, are useful for operationally monitoring agriculture, especially basins that are affected by abiotic stress. Moderate-Resolution Imaging Spectroradiometer (MODIS) time series products can be used to understand cropland changes at the basin level due to abiotic stresses, especially water scarcity.

The aim of the paper is to examine the variability of eastern Mediterranean landscapes using a common mapping framework relying on Landscape Character Mapping (LCM). LCM was adapted to the region’s specificities placing emphasis on the area’s coastal nature, landform variation, land use, in particular pastoral tradition, and settlement patterns, an important output of this study.

The article shows results of compiling recommendation land use maps for land use and land resources management of the university experimental farm “Velykosnitynske”. Large-scale GIS mapping of experimental farms allows to improve land use and decision making, prepare recommendations to solve land management issues, planning of technology processes and efficient crop growing technology. Compiled recommendation maps are aimed to assist in rational land use planning and sustainable development of the territory.

A field characterization of the grassland vegetation structure, represented by the coverage of grass canopy (CGC) and the grass height, was carried out during three years (2009–2011) in a priority area for the conservation of grasslands of North America. Landsat Thematic Mapper (TM5) images were selected and the information of reflectance was obtained based on the geographical location of each field-sampling site.

The need for bananas in Bali far exceeds the production. To obtain optimal production according to their genetic potential, the development of banana cultivation should be preceded by a land suitability evaluation study.

Drylands are characterised by patchy vegetation, erodible surfaces and erosive aeolian processes. Empirical and modelling studies have shown that vegetation elements provide drag on the overlying airflow, thus affecting wind velocity profiles and altering erosive dynamics on desert surfaces. However, these dynamics are significantly complicated by a variety of factors, including turbulence, and vegetation porosity and pliability effects. This has resulted in some uncertainty about the effect of vegetation on sediment transport in drylands.

The current characteristics of a rural landscape may be better understood if suitable information related to its past is available. The availability of a Geographical Information System (GIS) can enable the analysis of landscape features in relation to several aspects, e.g., the evolution and mutual inter-relation among different ecosystems, the impact and sustainability of human activities, the visual characteristics of a landscape, etc.