The paper investigates spatial changes in cultivation and land use of wheat, maize and oilseedin Hungarian agriculture using different methods to measure these changes. The results suggestthat spatial structure of crop productions has remained fairly stable during analysed period. Thespatial concentration increased significantly for wheat and maize production and maize landuse, whilst the changes were not significant for other cases. Estimates confirm the presence ofspatial autocorrelation for all cases.

Land cover derived from remotely sensed products is an important input to a number of different global, regional and national scale applications including resource assessments and economic land use models. During the last decade three global land cover datasets have been created, i.e. the GLC-2000, MODIS and GlobCover, but comparison studies have shown that there are large spatial discrepancies between these three products. One of the reasons for these discrepancies is the lack of sufficient in-situ data for the development of these products.

Exploitation of groundwater and frequent failure of monsoons has produced rapid water table depletion in present days. Rainwater is discharged as surface runoff without replenishing the groundwater table. Identification of potential zones for groundwater recharge has become an important event to replenish the groundwater resources. The recharge potential is governed by various features of surface, subsurface and hydrometeorological parameters. Remote sensing technique is found to be very effective tool for the integration of various features of these factors.

This study aims to evaluate different methods of integrating optical and multipolarized radar data for land use and land cover (LULC) mapping in an agricultural frontier region in the Central Brazilian Amazon, which requires continuous monitoring due to the increasing human intervention. The evaluation is performed using different sets of fused and combined data.

A large number of mathematical models have been developed for supporting optimization of land-use allocation; however, few of them simultaneously consider land suitability (e.g., physical features and spatial information) and various uncertainties existing in many factors (e.g., land availabilities, land demands, land-use patterns, and ecological requirements). This paper incorporates geographic information system (GIS) technology into interval-probabilistic programming (IPP) for land-use planning management (IPP-LUPM).

Areal interpolation is used to transfer attribute data between geographically incongruous zonal systems. Remotely sensed land cover data are widely used in intelligent areal interpolation methods to solve this problem. This article examines the usefulness of different publicly available remotely sensed land cover data sets as ancillary data used in conjunction with different areal interpolation methods.

This paper contributes to the discussion on current issues in methodologies of mapping land cover in the agro-silvo-pastoral landscapes of the Mediterranean. These landscapes, characterized by intermixed land use and indefinite boundaries, require particular attention in applying the patch-corridor-matrix model when classifying patches and their delineation. In a case study area in southeast Portugal, mainly characterized by agro-silvo pastoral systems, the land cover for 1990 has been mapped.

In this thesis we demonstrate some methods to integrate biophysical data with socio-economic variables with applications in agricultural land use analysis. Part of Nizamabad District of Andhra Pradesh State in India is considered for developing and testing the methods developed. First the study area is stratified as a pre-field work exercise for a focused land use analysis.

Direct applications of remote sensing thermal infrared (TIR) data in landscape ecological research are rare due to limitations in the sensors, calibration, and difficulty in interpretation. Currently there is a general lack of methodology for examining the relationship between land surface temperatures (LST) derived from TIR data and landscape patterns extracted from optical sensors. A separation of landscapes into values directly related to their scale and signature is a key step.

The Queensland Koala Phascolarctos cinereus and possum harvests were regulated from 1906-1927 and 1906-1936, respectively. Before that, there was an uncontrolled harvest. Historical data from the harvest period were analysed to gain information on P. cinereus and possum (mainly Trichosurus vulpecula) population ecology and status. P. cinereusi> numbers peaked in southern Queensland around the turn of the century or in the first decade of the 20th century.

Although the designation of greenbelts around cities has been a common practice for several decades, some greenbelts have not been successfully protected from development. To explore the forces driving the construction of greenbelts, this paper examines how past land use and land cover decisions and current socioeconomic factors have affected the development of the artificial greenbelt zone in China’s Shanghai metropolitan area. Using aerial photographs from 1994, 2005, and 2010, we find that the area of afforested greenbelt was generally related to past land use/cover decisions.