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Book (stand-alone)Practical handbook for agricultural land cover mapping in the Lao People's Democratic Republic 2020
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No results found.This handbook presents the detailed steps for national agricultural land cover mapping, conducted with limited resources and budget from design to final validation and production. It covers the technical aspects of 1) selection and preprocess of satellite imagery (both optical and radar), 2) definition of a land cover legend using international standards, 3) the integration with other existing information as well as the analysis of such database in order to assign a thematic classification, 4) the interpretation, 5) the accuracy assessment and 6) the final packaging and publication of results. The handbook focuses on mapping agricultural land, in a complex landscape, such as the one found in Lao PDR, where atmospheric conditions, topographic effects and management makes the classification challenging. The handbook also presents practical examples of the team, software and skill-set required to develop a national land cover dataset. The objective of the document is to provide a working manual to other national teams willing to develop a land cover mapping programme. -
No Thumbnail AvailableBook (stand-alone)Preparation of Land Cover Database of Bulgaria through Remote Sensing and GIS 2001
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No results found.Land cover maps constitute a necessary tool for development planning and management of the territory. Furthermore, land cover maps depicting the current reality are a must in countries where, due to political changes, rapid dynamic phenomena have taken place, resulting in a complete restructuring of the agricultural and other sectors, as in the case of Bulgaria. The scale of such maps should be large enough to provide detailed information, however it should allow for regional assessment, st atistics and subsequent planning. The 1:50 000 scale is the most suited for this exercise. The FAO project TCP/BUL/8922 “Strengthening Capacity in Agricultural Development through Remote Sensing and GIS” has produced 14 land cover maps at 1:50 000 scale for selected test areas of the country, covering 5 600 sq km. These maps were prepared using Landsat satellite data, acquired in 1998 and 1999 as the main data source and thus represent the land cover existing at that time. The land cover cl assification was performed using the FAO Land Cover Classification System (LCCS). To each mapped unit (polygon), soil type and erosion features were linked as attributes into the GIS system. This created a comprehensive database, which is unique in Bulgaria. The database provides very useful information for agriculture, forestry and urban development planning, for environment protection and for many other applications. The data collected in the database provide the possibility for different kinds of spatial analysis, which is necessary in land management. For an area of particular interest, IKONOS very high resolution satellite data were used to produce an assessment of the state of vineyards, the updating of the linear features of a large scale topographical map and other applications. The methodology and applications reported in this study have been tested and refined under operative conditions in the framework of the project’s activities. -
Brochure, flyer, fact-sheetLand Cover Mapping Process - Tunisia 2023
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No results found.Land cover and land use information is a vital information for governments, agencies and institutions of a country to make informed decisions, promote sustainable development, protect the environment, food security biodiversity conservation, climate change and ensure the well-being of their citizens. It plays a critical role in shaping policies and actions that align with long-term sustainability goals. Technological advancements have significantly heightened the value of land cover (LC) information. However, this progress has also widened the user base, posing challenges for harmonization and uniform utilization. The constant generation of new LC data and diverse classification schemes has led to inconsistencies, hindered interoperability, and limited practical application due to traditional vague classifications. Hence, there is a critical necessity to create reliable, standardized LC data and legends using geospatial tools and applications. This approach is crucial to effectively address global, regional, and national environmental monitoring needs and challenges. The Food and Agriculture of the United Nations (FAO) is involved in developing and enhancing all aspects of land cover and its applications. FAO offers land cover services at global, regional, and national levels following international standards and using the latest state of art technology innovation. This includes land cover legend registry, land cover ontology and classification systems, essential to consistency across systems and disciplinesfor sharing; development of methodologies for operational rapid assessment of land cover and its changes at national, regional and global scale; and helping member countries to meet their need for up-to-date, consistent and detailed land cover and land use information. FAO Tunisia is working closely with the national partners to ensure the sustainability of the system to support ongoing projects.
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