The goal of this work is to monitor urban growth and the drivers of urban expansion in Chengdu, China. Between 1978 and 2002, the municipal population increased from 8 to 10.2 million and GDP grew seven-fold, changes which have had profound impacts on land cover. To address these issues, this research involves two tasks. First, we monitor land cover change using a supervised, multi-date decisio...

[1] The radiative effect of changing human land-use patterns on the climate of the past 300 years is discussed through analysis of a series of equilibrium and transient climate simulations using the UVic Earth System Climate Model. Land-surface changes are prescribed through varying land cover type, representing the replacement of natural vegetation by human agricultural systems from 1700 to 19...

This paper describes and illustrates methods for quantifying regional differences in land use/land cover changes. A series of approaches are used to analyse differences in land cover change from data held in change matrices. These are contingency tables and are commonly used in remote sensing to describe the spatial coincidence of land cover recorded over two time periods. Comparative analyses ...

This chapter presents an environmental application of DSmT for the land cover prediction. The spatial prediction of land cover at the field scale in winter is useful to reduce the bare soils in agricultural intensive regions. Fusion process with the Dempster-Shafer theory (DST) proved to have limitations with the increase of conflict between the sources of evidence that support land cover hypot...

Adding the effects of changes in land cover to the A2 and B1 transient climate simulations described in the Special Report on Emissions Scenarios (SRES) by the Intergovernmental Panel on Climate Change leads to significantly different regional climates in 2100 as compared with climates resulting from atmospheric SRES forcings alone. Agricultural expansion in the A2 scenario results in significa...

Introduction and model structure The Conversion of Land Use and its Effects modelling framework (CLUE) (Veldkamp and Fresco, 1996; Verburg et al., 1999) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modelling of competition between land use types. The modelling approach has been modified and ...

A methodology was developed to interpret and assess land cover change between 1991 and 1999 in Central Puget Sound, Washington at several scales (landscape, sub-basins, and 90 m grid window) relevant to regional and local decision makers. Land cover data are derived from USGS Landsat (Thematic Mapper and Enhanced Thematic Mapper ) images of Central Puget Sound. Landsat data were registered, int...

Over the past decades, most of the remote sensing studies dealt with natural environment. The advance of remote sensing satellites and the innovative methods of proceeding high resolution images have contributed to integrated urban studies. This project is an attempt to use remote sensing technology so as to monitor the urban sprawl of the city of Thessaloniki and detect the changes occurred th...

Land cover changes influence the biogeochemistry, hydrology, and climate of the earth. Studies that assessed land cover changes at the global scale mostly focused on: deforestation, cropland expansion, dry land degradation, urbanisation, pasture expansion, and agricultural intensification. For the assessment, remotely sensed land-cover data, census data, and expert knowledge were used. In tropi...

This research demonstrates the important role of the remote sensing in finding out the different parameters behind the agricultural crop change, forest cover and urban 3D models. Standalone software is developed to view and analysis the different factors effecting the change in crop productions. Open-source libraries from the Open Source Geospatial Foundation have been used for the development ...