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Register implementation for land cover legends













O' Brien C.D., Di Gregorio, A., Mushtaq, F., Henry, M., Tchana, E.,  Mosca, N., Blonda, P., Hill, C., Latham, J. and Muchoney, D. 2021. Register implementation for land cover legends. Rome, FAO and UoS and STIIMA-CNR.




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    The ISO 19144-2 – land cover meta language (LCML) is prepared jointly by Food and Agriculture Organization of the United Nations (FAO) and Technical Committee of International Organization for Standardization (ISO) i.e., Technical Committee 211 (TC211) on Geographic information/Geomatics. This document specifies a Land Cover Meta Language (LCML) expressed as a UML metamodel that allows different Land Cover classification systems to be described based on physiognomic aspects. This document recognizes that a number of Land Cover classification systems exist. It provides a common reference structure for the comparison and integration of data for any generic Land Cover classification system, but does not intend to replace those classification systems.FAO acknowledges with deep appreciation the exceptional permission granted by ISO to continue republishing the current editions of the ISO 19144 series as FAO publications. This unique arrangement underscores the spirit of mutual trust and collaboration between the two organizations, ensuring wider and equitable access to these essential standards by Member Nations, technical partners and practitioners around the world.
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    In 2021, FAO launched the land cover legend registry (LCLR), the world's first repository of harmonized national, regional, and global land cover legends, adhering to ISO 19135 standards. This online catalog offers access to land cover legends prepared in line with ISO 19144-2 using tools like LCCS and LCHS software. Integrated into FAO's Hand-in-Hand initiative, the LCLR enables import of legends to their cloud platform for earth observation data processing via SEPAL, fostering opportunities for global-to-local natural resource monitoring enhancements. The accompanying publication details LCLR functionalities and provides guidance on creating legends in various file formats using different software.
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    Regional and global trends in body weight show that the Near East and North Africa (NENA) region countries, especially the Gulf Cooperation Council (GCC) member countries, have the highest average body mass index and highest rates of overweight and obesity in the world. There exist several explanations that expound the high rates of overweight and obesity in most NENA countries, including the nutrition transition, urbanization, changes in lifestyle, and consequent reduction of physical activities. This study examines the implication of food policies, mainly trade and government food subsidies, on evolving nutritional transitions and associated body weight outcomes. We examine the evolution of trade (food) policies, food systems, and body weight outcomes across selected countries in the NENA region – Egypt, Jordan, and Iraq. In particular, we investigate the implications of important trade (food) policies in shaping diets and food systems as well as their implications on public health outcomes, mainly the rising levels of overweight and obesity in the NENA region. We provide a simple conceptual framework through which trade policies (tariff rates) and domestic government food policies (subsidies) may affect food systems and nutritional outcomes. An important and innovative feature of this study is that it compiles several macro- and micro-level datasets that allow both macro and micro-level analyses of the evolution of trade (food) policies and associated obesity trends. This approach helps to at least partly overcome the data scarcity that complicates rigorous policy research in the NENA region. Overweight and obesity rates have almost doubled between 1975 and 2016, with varying rates and trends across regions. For instance, whereas body weight in the NENA region was comparable with that found in high-income countries in the early years, after the 1990s regional overweight and obesity rates became much higher than those in high-income countries. Specifically, while most high-income countries are experiencing a relative slowing of increases in overweight rates, the trend for the NENA region continues to increase at higher rates. The evolution of overweight rates for the GCC countries are even more concerning. These trends are likely to contribute to the already high burden of non-communicable diseases in the NENA region. Contrary to the conventional view that overweight and obesity rates are urban problems, our findings show that rural body weight has been rising over the past few decades, sometimes at higher rates than in urban areas.