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Displaying 1101 - 1105 of 1605Towards a World Desertification Atlas. Relating and selecting indicators and data sets to represent complex issues
Mapping land degradation and desertification (LDD) at the global scale still is a conceptual and operational challenge. The present study has been performed in the frame of the WAD (new World Atlas of Desertification) initiative. The objective of the paper is to test a structured procedure to identify relevant indicators for an effective representation of complex global LDD issues, based on available data sets (both geo-spatial and statistical), and conform to the UNCCD (United Nations Convention to Combat Desertification) requirements.
Application of an evidential belief function model in landslide susceptibility mapping
The objective of this paper is to exploit the potential application of an evidential belief function model to landslide susceptibility mapping at Kuala Lumpur city and surrounding areas using geographic information system (GIS). At first, a landslide inventory map was prepared using aerial photographs, high resolution satellite images and field survey. A total 220 landslides were mapped and an inventory map was prepared. Then the landslide inventory was randomly split into a testing dataset 70% (153 landslides) and remaining 30% (67 landslides) data was used for validation purpose.
automated approach for updating land cover maps based on integrated change detection and classification methods
Updating land cover maps from remotely sensed data in a timely manner is important for many areas of scientific research. Unfortunately, traditional classification procedures are very labor intensive and subjective because of the required human interaction. Based on the strategy of updating land cover data only for the changed area, we proposed an integrated, automated approach to update land cover maps without human interaction.
Energy intensity in livestock operations – Modeling of dairy farming systems in Germany
The world’s population and food consumption are increasing drastically while natural resources are decreasing. In particular, energy use is an important component of reaching sustainability in agricultural production processes because of its shortage as resource, its influence on air pollution and its role in the economics of production. This study used system modeling to examine interactions between crop and livestock procedures and between levels of different input factors and their effects on yields in order to determine agricultural energy intensity.
Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales
The relationship among land cover, topography, built structure and stream water quality in the Portland Metro region of Oregon and Clark County, Washington areas, USA, is analyzed using ordinary least squares (OLS) and geographically weighted (GWR) multiple regression models. Two scales of analysis, a sectional watershed and a buffer, offered a local and a global investigation of the sources of stream pollutants. Model accuracy, measured by R² values, fluctuated according to the scale, season, and regression method used.