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Practical handbook for agricultural land cover mapping in the Lao People's Democratic Republic










FAO and MAF. 2020. Practical handbook for agricultural land cover mapping in the Lao People's Democratic Republic. Vientiane.




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    Brochure, flyer, fact-sheet
    State of the art agricultural land cover maps for the Lao People's Democratic Republic​
    Part of the Land Resources Information Management System (LRIMS)
    2021
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    The leaflet presents the activities of the second component of the project “Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in Lao PDR”. In collaboration with The Department of Agricultural Land Management (DALaM) under the Ministry of Agriculture (MAF) has, with financial support of FAO Laos and technical support from International FAO experts, produced the first national agricultural land cover map in the country. It has been generated using a random forest machine learning approach to identify different land uses from satellite imagery and is in both, technical standard and accuracy, state of the art. The map includes major production systems of Lao PDR, including shifting cultivation. In its first released version, the following land cover classes are depicted: paddy rice, annual crops, steep slope agriculture (shifting agriculture), maize, cassava, sugarcane, tea plantations, coffee plantations, orchards and other plantations, sparse natural vegetation, dense natural vegetation, bare areas, built-up areas, and water surfaces. The pixel resolution of the map is 10m, while for temporal resolution images across the whole year of analysis are used. It is calibrated with 2,740 field observation data and has currently an estimated error of 10%, the acceptable norm based on FAO expertise.
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    Book (stand-alone)
    Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in the Lao People's Democratic Republic (GCP/LAO/021/LDF)
    ArcGIS training material
    2020
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    The project Strengthening Agro-climatic Monitoring and Information Systems to improve adaptation to climate change and food security in Lao People's Democratic Republic, has arranged training on basic and advanced geographic information systems (GIS) for the staff of the Department of Meteorology and Hydrology and of the Department of Agricultural Land Management in Lao PDR. The folder contains the training materials for materials prepared by the Asian Institute Technology.
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    Book (stand-alone)
    Preparation of Land Cover Database of Bulgaria through Remote Sensing and GIS 2001
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    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.

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