Accurate identification of urban land use is essential for many applications. However, as physical surfaces of land-cover types are not necessarily related to their use and economic function, differentiating among thematically detailed urban land uses (single-family residential, multi-family residential, commercial, industrial, etc.) using remotely sensed imagery is a challenging task, particularly over large areas.

Impervious surfaces are important environmental indicators and are related to many environmental issues, such as water quality, stream health and the urban heat island effect. Therefore, detailed impervious surface information is crucial for urban planning and environment management. To extract impervious surfaces from remote sensing imagery, many algorithms and techniques have been developed. However, there are still debates over the strengths and limitations of linear versus nonlinear algorithms in handling mixed pixels in the urban landscapes.

Herbaceous biomass, harvested and handled as hay, has potential for bioenergy production. In the Upper Southeast, fields that cannot be competitively managed to produce another crop can produce an acceptable yield of switchgrass. Using a delayed harvest (crop is allowed to dry standing in the field), switchgrass can be harvested from production fields over a 6-month period. This gives a significant advantage over a crop residue, like corn stover, which is collected over a 5-week harvest season in the Midwest. The Southeast has the potential to be a major bioenergy production region.

In the present study, Remote Sensing Technique and GIS tools were used to prepare landslide susceptibility map of Shiv-khola watershed, one of the landslide prone part of Darjiling Himalaya, based on 9 landslide inducing parameters like lithology, slope gradient, slope aspect, slope curvature, drainage density, upslope contributing area, land use and land cover, road contributing area and settlement density applying Analytical Hierarchy Approach (AHA). In this approach, quantification of the factors was executed on priority basis by pair-wise comparison of the factors.

Agriculture and forestry play an important role in emitting and storing greenhouse gases. For an efficient and cost-effective climate policy it is therefore important to explicitly include land use, land use change, and forestry (LULUCF) in economy-climate models. This paper gives an overview and assessment of existing approaches to include land use, land-use change, and forestry into climate-economy models or to link economy-climate models to land-use models.

The wild boar is the target species selected for developing a GIS model of potential habitat for big game species, mainly using many GIS layers and kilometric abundance indices (KAI). We identify and weight environmental factors that determine the suitability for wild boar populations in a Mediterranean region, highly influenced by urban and agro-forestry activities. Marina Baja region (Spain) is selected to make a regional analysis. In the GIS modelling process, a suitability value is assigned to each pixel, which represents the habitat preference of the species.

The remaining Atlantic Forest fragments are structurally isolated by a matrix of pastures, plantations, or urban areas, and most remnants are small (

Indonesia has turned its alleged role as global leader of land-based carbon emissions into a role as a global trailblazer exploring modalities for Reducing Emissions from Deforestation and Forest Degradation (REDD+). REDD+ readiness is largely about improving forest governance, but this itself is a multilayered concept. This article analyses how the processes and practices of REDD+ readiness are leading to various forest governance reforms in Indonesia.

Trade liberalization has greatly accelerated the volume of traded agricultural products in past decades. As land resources become more limited in some countries, international trade plays an important role in compensating for land scarcity in these countries. This paper aims to measure and locate the virtual land use hidden in China's imports and exports, for both primary crops and processed products, from 1986 to 2009.

A hypothetical market for renting and converting forested land into row cropping for biofuel production revealed that nearly half of the 1060 non-industrial landowners sampled in Florida are willing to accept payments for land type conversion and the resulting supply function is inelastic and positive.