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Showing items 42076 through 42084 of 73379.This letter evaluates the effectiveness of a new kernel-based extreme learning machine (ELM) algorithm for a land cover classification using both multi- and hyperspectral remote-sensing data. The results are compared with the most widely used algorithms – support vector machines (SVMs).
The remote sensing community has recently adopted land-cover map updating methodologies using spectral image differencing, change masking and concatenation procedures to monitor land change accurately and consistently.
In this study, we show the novel applications of model-based scattering power decomposition analyses in synthetic aperture radar (SAR) polarimetry for man-made target detection on the sea surface.
A bstract Purpose : The study aims at analysing the influence of demographics factors on inclusion of agriculture in school curriculum. Design/Methodology/Approach: The study was conducted in five villages of Rewari district in Haryana using a Mixed Methods Research Approach.
Conventional national accounting practice emphasises depreciation as both a physical loss inproductive capital and an economic loss due to obsolescence.
For 3 years, the Future of Australia's Threatened Ecosystems (FATE) Program has been working towards achieving multiple benefits for rangelands by applying conservation through sustainable use (CSU) approaches to the kangaroo industry.
During the past two decades agrarian (‘land and farm’) reforms have been widespread in the transition economies of Eastern Europe, the Caucasus and Central Asia (EECCA), following earlier ones in Asia (China and Vietnam).
Soil erosion caused by low vegetation cover associated with agricultural land use in the catchment is blamed for the eutrophication of Lake Victoria.
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