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Showing items 1 through 9 of 10.
There is a trend to acquire high accuracy land-cover maps using multi-source classification methods, most of which are based on data fusion, especially pixel- or feature-level fusions.
This study sought to determine a 22-year past and future land use and land cover trend and its implication on green spaces in an eThekwini Municipal Area’s peripheral settlement.
The Kailash Sacred Landscape (KSL) spreads across a vast region that includes remote portions of the Tibet Autonomous Region of China (TAR China) and contiguous areas of Nepal and India.
From the advent of the application of satellite imagery to land cover mapping, one of the growing areas of research interest has been in the area of image classification. Image classifiers are algorithms used to extract land cover information from satellite imagery.
Ensemble classification is an emerging approach to land cover mapping whereby the final classification output is a result of a consensus of classifiers. Intuitively, an ensemble system should consist of base classifiers which are diverse i.e.
Over the last 25 years civil disturbances, drought, population increases and global market pressures have all contributed in direct and indirect ways to a modification of Sub saharan African land cover.
In Nepal, natural factors such as heavy seasonal precipitation, the erosion-prone nature of the soil, steep topography and the removal of ground cover, make the country's hill soils particularly vulnerable to leaching of organic matter and micronutrients.
Focuses on two themes in the study of ethnopedology: (1) the hows and whys of indigenous soil classifications. (2) the differences and overlaps between indigenous soil classifications and western soil classifications.