In this study ALOS multispectral images were used to compare landcover patterns in three study areas, namely Tokyo, Kyoto, and Taipei, of different degrees of urbanization. Shannon diversity index at cell level was used as a landscape metric for landcover pattern analysis. Both the landcover type richness and evenness are low in most of the Tokyo study area and built-up is the single dominant l...

Chongqing, as the central city of inland China, has been subject to especially fast economical development. With increasing population and urban development, various impacts on the surrounding environment, such as deforestation, urbanization and pollution, must be taken into consideration. In particular, decrease in vegetated area and disruption of local ecosystems due to urbanization has emerg...

This paper is concerned with extracting and summarizing the spatial pattern that may be present in landcover and other thematic raster maps. A sequence of rather large frequency tables is calculated by scanning the map and recording the landcover in configurations of four pixels whose inter-pixel distances become increasingly large. Perceived spatial pattern in a map is determined in part by do...

Understanding interactions between mobile species distributions and landcover characteristics remains an outstanding challenge in ecology. Multiple factors could explain species distributions including endogenous evolutionary traits leading to conspecific clustering and endogenous habitat features that support life history requirements. Birds are a useful taxon for examining hypotheses about th...

Climate change is a driver for diverse impacts on global biodiversity. We investigated its impacts on native landcover distribution in South America, seeking to predict its effect as a new force driving habitat loss and population isolation. Moreover, we mapped potential future climatic refuges, which are likely to be key areas for biodiversity conservation under climate change scenarios. Clima...

Landcover change alters not only the surface landscape but also regional carbon and water cycling. The objective of this study was to assess the potential impacts of landcover change across the Kansas River Basin (KRB) by comparing local microclimatic impacts and regional scale climate influences. This was done using a 25-year time series of Normalized Difference Vegetation Index (NDVI) and pre...

This paper describes the development of a 1-km landcover dataset of China by using monthly NDVI data spanning April 1992 through March 1993. The method used combined unsupervised and supervised classification of NDVI data from Ž . AVHRR. It is composed of five steps: a unsupervised clustering of monthly AVHRR NDVI maximum value composites is Ž . performed using the ISOCLASS algorithm; b prelimi...

The U.S. National Landcover Dataset (NLCD) and the U.S National Elevation Dataset (NED) (bare earth elevations) were used in an attempt to assess to what extent the directional and slope dependency of the Shuttle Radar Topography Mission (SRTM) finished digital elevation model is affected by landcover. Four landcover classes: forest, shrubs, grass and snow cover, were included in the study area...

Banjarbarucity – located in South Kalimantan province, Indonesia – has high temperatures average and rain intensity. Those cause various disasters and adverse impacts on human life. Moreover, high urbanization and infrastructure development contribute landcover change and the increase of non-vegetation landcover. Air pollution from transportation needs to be reduced by developing urban forest i...

Scale issues have significant implications for the analysis of social and biophysical processes in complex systems. These same scale implications are likewise considerations for the design and application of models of landcover change. Scale issues have wide-ranging effects from the representativeness of data used to validate models to aggregation errors introduced in the model structure. This ...