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Climate maps for the Lao People's Democratic Republic

Part of the Land Resources Information Management System (LRIMS)









​FAO, MONRE and MAF (2021). Climate maps for the Lao People's Democratic Republic : Part of the Land Resources Information Management System (LRIMS)​. Vientiane, Laos.


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    Book (stand-alone)
    Climatology and agroclimatology atlas of the Lao People’s Democratic Republic 2022
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    This atlas is a study of climate and agroclimate in the Lao People’s Democratic Republic for the period 1990–2019 based on the downscaling of long-term observation data. It has been produced as part of the “Strengthening Agro-Climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in Lao People’s Democratic Republic project. It aims to support the achievement of the Lao government’s priority targets, as set out in the country’s Ninth National Socio-Economic Development Plan (2021–2025). The Department of Meteorology and Hydrology (DMH) is the main body responsible for the national climate database and producing climate statistics. The Department of Agricultural Land Management (DALAM) also provided expertise in the use of advanced downscaling technologies. This Atlas presents the results of the work carried out by these bodies. The information describes in detail the country’s climate and how it has changed over the last 30 years.
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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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    Brochure, flyer, fact-sheet
    Soil mapping for the Lao People's Democratic Republic
    Part of the Land Resources Information Management System (LRIMS)
    2021
    Also available in:

    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”. The Department of Agricultural Land Management (DALaM) under the Ministry of Agriculture (MAF) has, with financial support of FAO Laos and financial support by GEF, produced the national soil map in the country. Soil mapping is the process of delineating natural bodies of soils, classifying and grouping the delineated soils into map units, and capturing soil property information for interpreting and depicting soil spatial distribution on a map and containing a database of soil properties (soil pH, textures, organic matter, depths of horizons, etc.). It is typically the end result of a soil survey inventory. The map will be used by DALaM for calculating suitability and crop productivity today and in the future. The map will feed into the Land Resource Information Management System (LRIMS), a support tool for socio-economic and agricultural policy planning that provides crop modelling for the past and the future.

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