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Showing items 46 through 54 of 2217.
Trends.Earth (formerly the Land Degradation Monitoring Toolbox) is a platform for monitoring land change using earth observations in an innovative desktop and cloud-based system.
This report presents results and conclusions from a Pilot exercise undertaken to assess the experience of
affected country Parties to the United Nations Convention to Combat Desertification (UNCCD) with
In the last decade, there have been a number of global/regional targets and initiatives to halt and reverse land degradation and restore degraded land.
As investments in nature are needed more than ever, and are increasingly gaining traction, the challenge is to identify environmental and social risks and to demonstrate positive impacts associated with investing in nature-based projects in a standardized and comparable manner.
We recognize the economic and social significance of good land management, including soil, We stress that desertification, land degradation and drought are challenges of a global dimension and continue to pose serious challenges to the sustainable development of all countries, We recognize the ne
The study examines long-term land use/land cover change (LUCC) at a finer scale in a semi-arid region of 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.
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.
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