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FAO-EOSTAT project training









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    Book (stand-alone)
    Atlas of Natural Resources for Agricultural Use in Libya
    LIB/00/004
    2009
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    An atlas is a collection of objective geographic information, expressed in maps. Its compilation is justified by its contribution to research and decision making. The compilation of the “Atlas of Natural Resources for Agricultural Use in Libya”, depended on relevance to natural resources. The “Atlas of Natural Resources for Agricultural Use in Libya” is an effort to present consistent and reliable national maps that can be used to explore the agricultural dimension of the Libyan environment. The Atlas is a collaborative effort among the Libyan Government and the Food and Agriculture Organization of the United Nations (FAO/UN). The Atlas has several goals, of which the most important are to contribute to a better understanding of the natural resources of Libya, to serve as a medium for the dissemination of LIB/0041 outputs and recommendations and to provide useful information through graphical representation and text to decision-makers for planning, management, business and other. The “ Atlas of Natural Resources for Agricultural Use in Libya” will be available in both digital and printed forms. The digital form of the "Atlas of Natural Resources for Agricultural Use in Libya" will be a collection of digital maps associated with tabular data and related documents. This printed atlas contains a collection of LIB/004 maps (including important layers and significant outputs) composed according to appropriate cartographic conventions and symbology (legends, scale bars, etc). The pr inted atlas also contains explanatory text describing each map
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    Book (stand-alone)
    Land Cover Atlas of the Republic of South Sudan 2011
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    The Land Cover Atlas of the Republic of South Sudan provides information on the land cover distribution by administrative and sub-basin divisions. The dataset was created using the FAO/GLCN methodology and tools. Main data sources include satellite imagery from SPOT and Global Land Survey (GLS) Landsat, existing Africover land cover database and ancillary data. The legend was prepared using the Land Cover Classification System (LCCS): a comprehensive, standardized a priori classification system, designed to meet specific user requirements and created for mapping exercises, independent of the scale or means used to map. The classification uses a set of independent diagnostic criteria that allows the correlation with existing classifications and legends. Satellite images of South Sudan were segmented into homogeneous polygons and they were interpreted according to the FAO/GLCN methodology for the production of a seamless and detailed land cover dataset for the whole country. A field veri fication was completed by national experts who received a customized training on methodology and tools. The final land cover product has around 100,000 polygons, classified into 43 different classes and eventually aggregated into 7 major classes for ease of analysis and display.
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    Book (stand-alone)
    Introductory course to Google Earth Engine 2022
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    FAO Pakistan in collaboration with the FAO headquarters Geospatial Unit is inviting to an introductory course on Google Earth Engine with the objective to provide the basic skills to operate the platform, select, pre-process and analyze satellite imagery relevant to agriculture and food security, in particular for the identification of specific crops in the land and more broadly for land cover mapping, by using an automatic classification approach. The Workshop is thought for specialists in the technical Departmental Units of Agriculture and Food Security. It requires an understanding of the main satellite missions and basic concepts of Remote Sensing. Limited knowledge of scripting language (e.g. Python, R) is a plus. It has the structure of a theoretical presentation and hands-on exercises on the Google Earth Engine code editor.

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