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Showing items 1 through 9 of 14.
  1. Library Resource
    Journal Articles & Books
    January, 2019
    Angola, Mozambique, Egypt, Botswana, Malawi, Rwanda, Mauritania, Somalia, Uganda, Mali, Burundi, Italy, Tanzania, Sudan, Congo, Senegal, Chad, Namibia, Niger, Eritrea, Kenya

    The habitat of tsetse fly (Glossina spp.) depends upon climatic conditions, host availability and land cover characteristics. In this paper, the Land Cover Classification System (LCCS), developed by the Food and Agriculture Organization (FAO) and the United Nations Environment Programme (UNEP), is proposed as a tool to harmonize land cover mapping exercises carried out in the context of tsetse and trypanosomiasis (T&T) research and control.

  2. Library Resource
    Institutional & promotional materials
    August, 2018
    Kenya, South Sudan, Sudan, Ethiopia, Uganda

    The new land cover dataset will allow mapping of natural resources, human settlements and human activities in South Sudan and within neighboring countries. It will represent the most innovative and updated dataset developed for South Sudan, integrating high-resolution multi-temporal imagery, object-based image analysis<p></p>and machine-learning algorithms and LCML to support the Natural Resource Management strategy and land use planning.

  3. Library Resource
    Journal Articles & Books
    February, 2016
    Luxembourg, Poland, Switzerland, Japan, Zambia, Peru, Italy

    Accurate and consistent information on forest area and forest area change is important given the reporting requirements for countries to access results based payments for REDD+ . Forest area change estimates usually provide data on the extent of human activity resulting in emissions (e.g. from deforestation) or removals (e.g. from afforestation), also called activity data (AD). A basic methodological approach to estimate greenhouse gas emissions and removals (IPCC, 2003), is to multiply AD with a coefficient that quantifies emissions per unit ‘activity’ (e.g.

  4. Library Resource
    Policy Papers & Briefs
    December, 2014
    Rwanda, Uganda, Burundi, China, Tanzania, Cuba, Argentina, Senegal, Africa

    The present report gives the complete description of the preparation of a land use map and also the preparation of a national map of livestock intensity, needed as LUS input. The present method allows the preparation of a multi-country land use map in two weeks with the work of 13 experts, and is comparable to the continuous of 130 working days. Further to that, the LUS has been validated with the support of GIS consultants.

  5. Library Resource
    Policy Papers & Briefs
    December, 2014
    Rwanda, Uganda, Burundi, China, Tanzania, Cuba, Argentina, Senegal, Africa

    The present report gives the complete description of the preparation of a land use map and also the preparation of a national map of livestock intensity, needed as LUS input. The present method allows the preparation of a multi-country land use map in two weeks with the work of 13 experts, and is comparable to the continuous of 130 working days. Further to that, the LUS has been validated with the support of GIS consultants.

  6. Library Resource
    Policy Papers & Briefs
    November, 2016

    <p>Une série de 9 cartes s’intéressant aux menaces principales pesant sur les sols ont été préparées dans le cadre de la Journée mondiale sur les sols 2016. Elles offrent une brève description sur la acidification du sol (définition, causes, les principaux faits) et illustre les conditions dans le monde entier et les tendances par région.

  7. Library Resource
    Journal Articles & Books
    December, 1999
    Honduras, United States of America, Zambia, Argentina, Ukraine, China, Belarus, Indonesia, Australia, Mexico, Thailand, Philippines, South Africa, Singapore, Malaysia, Italy, Poland, Nicaragua, India, Turkey, Brazil
  8. Library Resource
    Journal Articles & Books
    December, 2015
    Uruguay, Americas

    Este Atlas proporciona información confiable y actualizada para el conocimiento de la cobertura del suelo en el Uruguay y el análisis de sus cambios a partir del año 2000. El objetivo del mismo es contribuir al monitoreo informado del territorio usando el Sistema de clasificación estandarizado LCCS (Land Cover Classification System) de FAO.

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