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Brochure, flyer, fact-sheetState of the art agricultural land cover maps for the Lao People's Democratic Republic
Part of the Land Resources Information Management System (LRIMS)
2021Also available in:
No results found.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. -
Book (stand-alone)Atlas of agricultural livelihoods and climate risk of the Lao People's Democratic Republic 2019–2020 2022
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This Atlas presents the first national dataset on livelihoods and the farmers capacity to adapt to climate change in the Lao People's Democratic Republic. Maps included in the Atlas include the satisfaction of farmers’ basic needs, farmers’ access to the resources needed for innovation and the farmers’ capacity to translate innovation into action. The landscape characteristics mapped include attitudes towards livelihood-related change, economic activity, soil fertility, supporting infrastructure, food security issues, water security, institutional support and extension services, access to climate information through information and communication technologies (ICTs ), market access vis-a-vis production orientation, use of and access to agricultural inputs, livelihood diversification, and dependency on agriculture, including the rearing of livestock and fish. The dataset has been generated using an innovative method that combines participatory mapping and advanced data analysis, and which is, both in terms of technical standard and scientific innovation, state-of-the-art. The livelihood data is available online in the Land Resources Information Management System thanks to the work of two collaborating teams: "Applying seasonal climate forecasting and innovative insurance solutions to climate risk management in the agriculture sector in Southeast Asia” (De-Risk) project, implemented by CIAT; and the "Strengthening Agro-Climatic Monitoring and Information Systems (SAMIS)" project, implemented by FAO. -
Brochure, flyer, fact-sheetAgro-ecological zones
Assessing alternatives for future cropping systems
2021Also available in:
The leaflet presents the activities of the second component of the project “Strengthening Agro-climatic Monitoring and Information Systems (SAMIS)”. In collaboration with the Department of Agricultural Land Management (DALaM) under the Ministry of Agriculture (MAF) has, with the financial support of FAO Laos and technical support from the Asian Institute of Technology (AIT) and FAO experts, produced the national level agro-ecological zoning (AEZ) mapping process. The AEZ aims to define the potential use of zones where crops can be growth based on climate, soil, crop cycle, and crop management practices, resulting in maps of suitability and potential yields. The maps have been generated using a software, called pyAEZ, produced with the project's support. The suitability maps for today and the future, using climate scenario as an input, are, in both technical standard and input data quality, state of the art. Lao People’s Democratic Republic is the first country, globally, to implement the AEZ system using national data and national capacity exclusively. The SAMIS AEZ delivery model has shifted demands for expertise to the regional and local levels. The AEZ allows policymakers to look ahead and adjust policies now to prepare for climate-related changes that will affect the prosperity of the country. Also, it helps to assess alternatives for future cropping systems and it guides establishing priority crop plan and future-proof land allocation to specific crop productions. Ultimately, the results from the scenario modeling will be uploaded to the Land Resources Information Management System (LRIMS).
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