In this paper we evaluate the potential of ENVISAT–Medium Resolution Imaging Spectrometer (MERIS) fused images for land-cover mapping and vegetation status assessment in heterogeneous landscapes. A series of MERIS fused images (15 spectral bands; 25 m pixel size) is created using the linear mixing model and a Landsat Thematic Mapper (TM) image acquired over the Netherlands. First, the fused images are classified to produce a map of the eight main land-cover types of the Netherlands. Subsequently, the maps are validated using the Dutch land-cover/land-use database as a reference.

Landscapes in urban areas especially in developing countries are under pressure due to increasing population of urban dwellers and un-directed spread of city boundaries. Sound urban environment plays important aesthetic, ecological, cultural, social and engineering roles beneficial to the people. To support better management of vegetated sites, it is necessary to understand the spatial configuration at the landscape scale and changes that have occurred.

To determine the effect of cutting height on forage production of the grass species Brachiaria decumbens, Brachiaria humidicola, Brachiaria dictyoneura, and Brachiaria brizantha this experiment was carried out at Corpoica’s La Libertad Research Center (Villavicencio, Colombia), under typical conditions found in the piedmont region heights were evaluated 0, 5, 10 and 20 cm in pastures B. decumbens, B. humidicola, B. dityoneura cv. Llanero and 0, 10, 20 and 30 cm for B. brizantha cv. Toledo. The evaluations were conducted during the rainy and dry seasons of 2009 and 2010.

On the basis of research and the data of large-scale soil mapping of the old drained territories new threshold values of the organic substance content in peat-mineral horizon for branch degraded histosols from agropeat soils are presented in the conditions of the Republic of Belarus. In course of the study there were analyzed arable peat soils and residual glezative degroturfzems (peat and inorganic soil, mineral and residual turf, mineral and post-turf ones).

Impact of anthropogenic activities has led to significant changes in riverbeds over a period of time. The objective of the study was to monitor the land use land cover (LULC) of Yamuna riverbed in Delhi and to assess the changes due to natural and anthropogenic activities. The maximum likelihood classification was carried out by using March 1977, April 1999, April 2002 and February 2009 imageries. An overall accuracy of LULC classification of 2009 imagery was around 88.6% based on ground truth data.

Human activity such as the development of slope land around watersheds has dramatically affected the ecological environment in Taiwan. This situation has been aggravated by heavy precipitation from typhoons in the summertime. The results include serious soil erosion and mass movement in the Shih-men Reservoir watershed.

Steppe, an important belt to protect North China from dust storms, is vulnerable and has been degraded in recent decades because of climatic change and heavy grazing. In order to improve steppe management, this study presents a framework for the monitoring of grazing intensity in Xilingol steppe of middle Inner Mongolia, northern China, by integrating the CENTURY ecosystem model-based simulation and remotely sensed MODIS data-based inversion.

Fecal pollution enters coastal waters through multiple routes, many of which originate from land-based activities. Runoff from pervious and impervious land surfaces transports pollutants from land to sea and can cause impairment of coastal ocean waters. To understand how land use practices and water characteristics influence concentrations of fecal indicator bacteria (FIB) and pathogens in natural waters, fourteen coastal streams, rivers, and tidal lagoons, surrounded by variable land use and animal densities, were sampled every six weeks over two years (2008 & 2009).

Modeled carbon-dioxide (CO₂) emissions from an urban area are validated against direct eddy-covariance flux measurements. Detailed maps of modeled local carbon-dioxide emissions for a 4 km² residential neighborhood in Vancouver, BC, Canada are produced. Inputs to the emission model include urban object classifications (buildings, trees, land-cover) automatically derived from Light Detection and Ranging (LiDAR) and optical remote sensing in combination with census, assessment, traffic and measured radiation and climate data.

Climate change is affecting biodiversity worldwide inducing species to either “move, adapt or die”. In this paper we propose a conceptual framework for analysing range shifts, namely a catalogue of the possible patterns of change in the distribution of a species along elevational or other environmental gradients and an improved quantitative methodology to identify and objectively describe these patterns.

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.