The primeval vegetation of Singapore was largely lowland dipterocarp forest, with mangrove forest lining much of the coast and freshwater swamp forest found further inland adjacent to the streams and rivers. After colonization by the British in 1819, almost all the primeval vegetation was cleared for agriculture and other land uses.
The Brazilian tropical savanna (Cerrado), encompassing more than 204 million hectares in the central part of the country, is the second richest biome in Brazil in terms of biodiversity and presents high land use pressure.
In this study, land cover maps of Bozcaada district were developed using Landsat satellite images obtained in 2006, 2007 and 2008. In addition to original images (6 band Landsat TM), the new images constituted with image processing techniques were also used.
The study aimed to analyze the performance indicators of self-sustainability, taking into account their potential for production in irrigated areas located in the basin Baixo Acaraú and Curu. The survey is a survey of information available on the perimeters studied by merging the existing bibliographies and materials with statistical data available.
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.
This analysis and recommendations stem from USAID/Kenya’s request for an assessment of Kenya’s draft National Land Policy (dNLP).4 It was conducted under the global task order: Property Rights and Resource Governance Program, a mechanism designed and supervised by USAID-EGAT’s Land Resources Management Team under the Office of Natural Resources Management.
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. classifiers whose decision boundaries err differently. In this paper ensemble feature selection is used to impose diversity in ensembles.
This is a techincal paper by Department of Land Resources, GoI. At present land records databases which are being maintained in various states are following state specific set of codes for different attributes like crop, soil, land use, irrigation, season, area unit and location.
The need for accurate carbon budgeting, climate change modelling, and sustainable resource management has lead to an increase in the number of large area forest monitoring programs. Large area forest monitoring programs often utilize field and remotely sensed data sources.
The figures of public resources estimated to have been channeled into private pockets are so high one hopes, obviously against hope, that they would turn out to be typographical errors.
The Role Of Wetlands In Poverty Reduction- Extreme poverty among rural poor people living around wetlands remains a daily reality for more than 56% of Kenya’s population, who subsist on less than one dollar a day.
The Thailand Land Titling Project is an outstanding success story of inter-agency cooperation and received the World Bank Award for Excellence in 1997. It was designed as a four-phase project over 20 years and will finish in 2004.