This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from residential and commercial buildings across multiple scales in the city of Indianapolis, Indiana, USA. The anthropogenic heat discharge was estimated with a remote sensing-based surface energy balance model, which was parameterized using land cover, land surface temperature, albedo, and meteorological data.

Coastal land use and land cover changes, emphasizing the alterations of coastal lagoons, were assessed in northwest Mexico using satellite imagery processing. Supervised classifications of a Landsat series (1973–1997) and the coefficients Kappa (K) and Tau (τ), were used to assess the area and verify the accuracy of the classification of six informational classes (urban area, aquatic systems, mangrove, agriculture, natural vegetation, and aquaculture). Pixel-by-pixel change detection among dates was evaluated using the Kappa Index of Agreement (KIA).

Global land cover is one of the fundamental contents of Digital Earth. The Global Mapping project coordinated by the International Steering Committee for Global Mapping has produced a 1-km global land cover dataset – Global Land Cover by National Mapping Organizations. It has 20 land cover classes defined using the Land Cover Classification System. Of them, 14 classes were derived using supervised classification. The remaining six were classified independently: urban, tree open, mangrove, wetland, snow/ice, and water.

The controls on the development of channel morphology of bedrock-constrained rivers are poorly known. The relative importance of lithological and structural control on channel alignment and character in comparison with the role of hydraulic erosion of the substratum is unclear. In addition, bedrock rivers often have a variable sediment fill and can be described as mixed bedrock–alluvial systems. The Mekong River in northern Cambodia is an anastomosed mixed bedrock–alluvial channel, but little and poorly researched.

The purpose of this study is to detect landslide locations from satellite images and use them for landslide susceptibility mapping in the Sagimakri area, Korea using a geographic information system and a data-driven weight of evidence model. The landslide location areas were identified from Korea multipurpose satellite images by means of change detection technique and further verified by extensive field survey. Subsequently, landslide locations were randomly selected in a 70:30 ratio for training and validation of the model, respectively.

CONTEXT: Century-long interaction between societies and their environment has shaped the cultural landscapes across Europe. Specific farming systems have persisted for long periods, and their abandonment has led to far-reaching and rapid changes in patterns of land use and land cover. OBJECTIVE: Taking the example of the municipality of Limpach, located in the Swiss lowlands, we studied the dynamics of cultural landscape and related driving forces in a long-term perspective.

This paper extends the debate on corridor effectiveness at regional planning scale, by exploring the contribution to landscape connectivity of a proposed ecological network and the remaining non-urbanized matrix in the Barcelona Metropolitan Region (BMR). Using the Ecological Connectivity Index, we evaluated the expected connectivity loss after the development of the approved urban plans in the region. Thus, we compared the baseline (present-day) and the projected (after planned urban development) connectivity scenarios for total, forest and agricultural habitats.

This paper presents an integrated approach to landscape functioning assessment combining energy efficiency and hydrochemical balance studies. Energy balance is expressed by surface temperature while hydrochemical balance is illustrated by electric conductivity and selected hydrochemical parameters. Six model sub-watersheds with different land use situated in southern Bohemia were chosen to show the influence of landscape management on landscape functioning.

Geomorphological mapping plays an essential role in understanding Earth surface processes, geochronology, natural resources, natural hazards and landscape evolution. It involves the partitioning of the terrain into conceptual spatial entities based upon criteria that include morphology (form), genetics (process), composition and structure, chronology, environmental system associations (land cover, soils, ecology), as well as spatial topological relationships of surface features (landforms).

The relationship between landscape pattern and the distribution and spread of exotic species is an important determinant of where and when management actions are best applied. We have developed an interdisciplinary approach for prioritizing treatment of harmful, nonnative, invasive plants in National Park landscapes of the Mid-Atlantic USA.

Land use/land cover monitoring and mapping is crucial to efficient management of the land and its resources. Since the late 1980s increased attention has been paid to the use of coarse resolution optical data. The Moderate Resolution Imaging Spectroradiometer (MODIS) has features, which make it particularly suitable to earth characterization purposes. MODIS has 10 products dedicated mainly to land cover characterization and provides three kinds of data: angular, spectral and temporal. MODIS data also includes information about the data quality through the ‘Quality Assessment’ product.

American badgers (Taxidea taxus) are a prairie obligate species, but badger resource selection and space use is poorly understood, particularly east of the Mississippi River where anthropogenic land uses have replaced most native prairie. We assessed badger multi-scale resource selection and space use in intensive agricultural areas in Illinois and Ohio. We predicted that badgers would select for pasture and prairie, and higher elevations, and riparian areas because these habitats likely favor burrowing and foraging.