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Showing items 1 through 9 of 341.
  1. Library Resource
    Journal Articles & Books
    May, 2021
    Nepal

    Land Use and Climate change are interrelated to each other. This change influences one another at various temporal and spatial scales; however, improper land uses are the primary causal factor on climate change. It studies relevant literature and Nepal’s case to assess the relationship between land use and climate change. Similarly focuses on how land-use impacts climate change and vice versa. In recent centuries land-use change significant effects on ecological variables and climate change.

  2. Library Resource
    Thailand Land Titling Project
    Conference Papers & Reports
    May, 2004
    Thailand

    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. The project partners the Royal Thai Government, the Bank, and the government of Australia provided funds and personnel, with the Australian Agency for International Development (AusAID) supplying technical assistance and training programs to the Department of Lands (Thailand).

  3. Library Resource
    Cartographie des sites miniers artisanaux dans l’ouest de la Centrafrique
    Reports & Research
    April, 2020
    Central African Republic

    Le présent rapport constitue un diagnostic du secteur minier artisanal dans l’ouest de la République de Centrafrique (RCA) et présente les enjeux de l’exploitation, du commerce et de l’exportation de l’or et des diamants. D’avril à juillet 2019, l’International Peace Information Service (IPIS), en partenariat avec les autorités locales, a réalisé une cartographie des sites miniers artisanaux dans l’ouest de la RCA.  Au total, 322 sites ont été visité dans 7 préfectures.

  4. Library Resource
    Land Degradation Neutrality in Armenia
    Reports & Research
    December, 2021
    Armenia

    Armenia is a landlocked country in the South Caucasus. After gaining independence from the former Soviet Union, a very difficult socio- economic situation developed in Armenia, with a current high level of poverty. Land privatization has led to excessive land fragmentation and a small average farm size. Most of the country (87 percent) is mountainous with a vertical zonation of diverse landscapes. Armenia is hotspot of biodiversity in the region, facing human and climate induced land degradation. Water erosion affects most forest and croplands across the country.

  5. Library Resource
    Manuals & Guidelines
    October, 2015
    Cameroon, Central African Republic, Congo, Democratic Republic of the Congo, Equatorial Guinea

    This guide presents the 'Mapping for Rights' approach, which combines participatory mapping techniques, facilitation and hands-on support with the application of relevant and available technology. This combination of tools, guidance and equipment enables communities to identify advocacy goals that their maps could support. The maps are designed to provide a snapshot of the communities’ reality, including information on their history and socio- economic situation and demonstrate occupation and use of specific areas by communities.

  6. Library Resource
    Reports & Research
    July, 2021
    Indonesia, Global

    For the estimated 70% of the world population that lives on property without a formal land title, life can be precarious. The absence of ownership documentation raises families’ vulnerability to forced eviction and conflict; it precludes the use of the property to access financial services and other economic benefits; and it diminishes the value of property by restricting its transfer to an informal, opaque market. And yet, in many parts of the world, the process of obtaining a land title is not only expensive but also complicated and sometimes nearly impossible.

  7. Library Resource
    LASMozambique-coverimage.PNG

    Scaling community legal literacy, land rights certification and climate resilience

    Policy Papers & Briefs
    July, 2021
    Mozambique

    This one-pager provides details on the LAND-at-scale project in Mozambique. This project is implemented by Centro Terra Viva and Terra Firma, and financed by the Ministry of Foreign Affairs via the Netherlands Enterprise & Development Agency. 

  8. Library Resource
    Reports & Research
    December, 2016
    China, Russia, United States of America

    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. A probabilistic graphical model (PGM) approach is proposed in this research for 30 m resolution land-cover mapping with multi-temporal Landsat and MODerate Resolution Imaging Spectroradiometer (MODIS) data. Independent classifiers were applied to two single-date Landsat 8 scenes and the MODIS time-series data, respectively, for probability estimation. A PGM was created for each pixel in Landsat 8 data.

  9. Library Resource
    Reports & Research
    July, 2010
    United States of America

    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. Most of the initial research has focussed on the development and application of algorithms to better existing and emerging classifiers. In this paper, a paradigm shift is proposed whereby a committee of classifiers is used to determine the final classification output.

  10. Library Resource
    Reports & Research
    November, 2008
    Norway

    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. The features of the constituent base classifiers for each ensemble were created through an exhaustive search algorithm using different separability indices.

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