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Land Cover Atlas of Yemen











FAO. 2024. Land Cover Atlas of Yemen. Rome. 




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    Book (stand-alone)
    Land Cover Atlas of the Republic of South Sudan 2023
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    Understanding the distribution of different land cover classes, as revealed by the updated Land Cover Atlas, holds paramount importance and is an innovative approach in helping to understand land cover dynamics. It enables decision-makers to harness this knowledge for strategic planning and informed decision-making in sectors such as agriculture, conservation, water resource management, and land degradation prevention. By recognizing the distribution and dynamics of land cover, stakeholders can work towards sustainable development goals, ecological resilience, and improved livelihoods in South Sudan. The development and utilization of the Land Cover Atlas highlight the significance of innovation, collaboration, and partnerships in decision-making processes and land cover management. By fostering collaborative efforts between organizations like the Food and Agriculture Organization of the United Nations (FAO), the Government of South Sudan, and supportive donors, a comprehensive understanding of land dynamics can be achieved. This collaborative approach enables stakeholders to work together towards effective resource management, resilience-building, and sustainable development, benefiting the people and environment of South Sudan.
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    Brochure, flyer, fact-sheet
    Land Cover Mapping of the Republic of South Sudan 2023
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    This brochure represents a simplified and introductory version of the more detailed publication: "Land Cover Atlas of the Republic of South Sudan". Understanding natural resources' utilization, distribution, temporal variations, and human activities is crucial for sustainable land management, especially in areas facing long-standing crises and significant environmental challenges. The competition for natural resources such as water, grassland, and wood among various stakeholders with diverse visions and interests is not only responsible for land degradation but also often a key driver of tensions and violent conflicts. Therefore, obtaining this fundamental information is imperative for promoting sustainable land use and mitigating the negative impacts of resource competition.
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    Book (stand-alone)
    Mapping land cover in Tunisia
    In the context of the Soil Land and Water Digital Information System initiative
    2024
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    This report presents a comprehensive land cover map of Tunisia, highlighting cultivated land, olive trees, dates and orchards while integrating information on land water management practices. A land cover map was derived using Sentinel-2 satellite imagery and stratified with water management data from currently existing data. Statistics illustrating the area of each class regionally and nationally were produced to provide accurate information on land cover classes distribution. Land cover information is essential to understanding the diverse range of ecosystems and agricultural land in Tunisia, particularly when looking to address climactic and socioeconomic challenges in the country. An accurate representation of agricultural land use is imperative when developing strategies for natural resource management and sustainable agricultural practices. Land cover mapping within the SolaWISe initiative facilities access to essential information on soil, land water and crop management, thus informing decision-making processes for enhancing agricultural productivity and sustainability. This land cover map provides a robust foundation for developing insights into natural resource management and agricultural practices across Tunisia. It empowers stakeholders at national, regional and local levels to make informed decisions for sustainable crop production in the context of a changing climate. There is no information on water management practices in the south of Tunisia; producing these datasets would significantly improve our understanding of crop management systems and agricultural water productivity. In the future land cover maps can be expanded to include more intricate irrigation and crop type information, allowing stakeholders to develop a more intricate understanding of spatial variation in crop suitability and productivity.

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