Many city governments choose to supply more developable land and transportation infrastructure with the hope of attracting people and businesses to their cities. However, like those in Taiwan, major cities worldwide suffer from traffic congestion. This study applies the system thinking logic of the causal loops diagram (CLD) model in the System Dynamics (SD) approach to analyze the issue of tra...

As the interface between marine and land environments, coasts have diverse and ever increasing conflicting pressures and demands requiring effective administration and management which is underpinned by the need for access to spatial information. Spatial data is recognised as a critical resource to underpin effective and sustainable management and administration. Spatial Data Infrastructures (S...

The premise of geographic object-based image analysis (GEOBIA) is that image objects are composed of aggregates of pixels that correspond to earth surface features of interest. Most commonly, image-derived objects (segments) or objects associated with predefined land units (e.g., agricultural fields) are classified using parametric statistical characteristics (e.g., mean and standard deviation)...

Management regimes of varying types and intensities can have profound impacts on grassland soil quality. Plus, there has recently been increased interest in finding soil quality indicators that are reflective of historical and current land management. We surveyed soil quality of privately owned grasslands in northeastern Kansas differing in their cultivation histories and current land-use (cool...

North Hebei province lies in the ecotone from agriculture to animal husbandry and forest and is eco-fragile transitional region. Serous land degradation, especially grassland degradation occurs in this area, because of overgrazing and over-reclamation. There are also many disasters, such as drought, dust storm, forest fire, and so on. This area has characteristics of ecological degradation and ...

This study demonstrated the potential of using dual-wavelength airborne light detection and ranging (LiDAR) data to classify land cover. Dual-wavelength LiDAR data were acquired from two airborne LiDAR systems that emitted pulses of light in near-infrared (NIR) and middle-infrared (MIR) lasers. The major features of the LiDAR data, such as surface height, echo width, and dual-wavelength amplitu...

Literature suggests that higher resolution remote sensing data integrated in Geographic Information System (GIS) can provide greater possibility to refine the analysis of land cover and terrain characteristics for explanation of abundance and distribution of plague hosts and vectors and hence of health risk hazards to humans. These technologies are not widely used in East Africa for studies on ...

Rural roads promote economic development, but they also facilitate deforestation. To explore this tradeoff, this article develops a spatially explicit model of land use and estimates probabilities of alternative land uses as a function of land characteristics and distance to market using a multinomial logit specification of this model. Controls are incorporated for the endogeneity of road place...

The mesoscale numerical weather prediction model MM5, the 5 generation Pennsylvania State University/NCAR Mesoscale Model, uses a global land-use map to set the physical parameters on the surface characteristics to model the soil-atmosphere processes. These parameters are albedo, emissivity, thermal inertia, roughness length and soil moisture. A new estimation of soil parameters is done for the...

Customary rules governing access to land and other natural resources in village societies have characteristics that allow them to fulfil social security functions and achieve equity objectives. This is true of both common-property resources and land parcels held under individualized tenure. However, when land pressure increases under the combined influences of population growth and market integ...