Impacts of rural land development on natural resources in the United States have been well documented and research on rural land development provides important inputs to land conservation policy and program development. Although numerous land-use studies have been completed for the western and eastern states, still lacking is a single study examining changes in population, housing, and land development in the two regions.

Temporal variations in land-atmosphere water vapor exchange are more pronounced in seasonal environments, especially grass-dominated savannas (known as campo sujo Cerrado) of the southern and eastern Amazon Basin. Recent work in campo sujo indicates that rates of canopy conductance (gc) were directly and indirectly affected by a variety of meteorological variables, which limited our understanding of how seasonal variation in meteorology affected rates of gc. Thus, our overall objective here is to determine how individual meteorological variables affect seasonal variations in gc.

An optimized artificial immune network-based classification model, namely OPTINC, was developed for remote sensing-based land use/land cover (LULC) classification.

In the last decades, due to climate changes, soil deterioration and land use/land cover (LULC) changes, land degradation (LD) has become one of the most important issues at the global, regional and local scale. In concrete terms, LD determines a reduction in the productivity of a territory and in its capacity of providing ecosystem goods and services. “Syndromes” of LD can be assessed in the past, and scenarios, conversely, can be developed for the future, as information baselines for sustainable land management strategies and interventions.

Transferable development rights (TDRs) can be used as a local planning tool to preserve land for particular uses. TDRs separate ownership of the right to develop land from ownership of the land itself, creating a market in which the development rights can be bought and sold. Landowners who sell TDRs permanently preserve their land in an undeveloped state; those TDRs are then used to increase the density of development elsewhere. In this paper, we evaluate a TDR program for preserving farmland in Calvert County, Maryland.

In arid and semiarid regions that have deep soils, plant root systems can extract soil water to a depth of 20m or more. An accurate evaluation of soil water conditions in such regions is essential in order to improve the understanding of the role of soils as a water pool and to design scientifically based water management strategies. However, the vertical distribution of soil water and its storage in deeper layers are unclear due to the shortage of field data.

Recognized as one of the richest and most extensive savannas in the world, the Cerrado region, the second largest biome in South America, presents an intense and continuous human-induced land-cover change, which has already affected around 40% of its original area. In the pursuit of orientation and planning for current and long-term occupation, in this work we present plausible deforestation scenarios for the entire Cerrado biome, to 2050.

Accurate built-up information is imperative for loss estimation and disaster management after the occurrence of catastrophic events such as earthquake, tornado, tsunami and flood. These catastrophic events leave behind a trail of mass destruction with property and human losses amounting to millions. Once a natural disaster hits a region, built-up information is required within a short span of time for disaster management. Nowadays, earth observation satellite imagery serves as a promising source to extract the land use / land cover classes.

Satellite-derived contemporary land-cover land-use (LCLU) and albedo data and modeled future LCLU are used to study the impact of LCLU change from 2000 to 2050 on surface albedo and radiative forcing for 19 ecoregions in the eastern United States. The modeled 2000–2050 LCLU changes indicate a future decrease in both agriculture and forested land and an increase in developed land that induces ecoregion radiative forcings ranging from −0.175 to 0.432 W m⁻² driven predominately by differences in the area and type of LCLU change.

A framework is described that has been used to assess the effect of the European Commission's Agenda 2000 proposal on the Dumfries and Galloway region, Scotland. The model assesses the impact of agriculture on land-use patterns, the environment and socio-economics of the region. It incorporates a farm-type linear programming sub-model with environmental and socio-economic sub-models.

In this work, we used the Regional Hydro‐Ecological Simulation System (RHESSys) model to examine runoff sensitivity to land cover changes in a mountain environment. Two independent experiments were evaluated where we conducted simulations with multiple vegetation cover changes that include conversion to grass, no vegetation cover and deciduous/coniferous cover scenarios. The model experiments were performed at two hillslopes within the Weber River near Oakley, Utah watershed (USGS gauge # 10128500).