Strengthening Agro-climatic Monitoring and Information System (SAMIS)

What's SAMIS?

The project “Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in LAO PDR” is increasing decision-making and planning capacity for the agricultural sector at national and decentralized levels in Lao PDR. Its objective is to enhance capacities to gather, process, analyse, and share climatic and geospatial information so that these can be applied to planning and decision-making.

As the small scale, the project is building the infrastructure and a comprehensive agro-climatic monitoring and information capacity focused on boosting sustainable production by optimizing farmers and smallholders resilience against climate change. Farmers will therefore be able to take informed judgements about the most appropriate technologies and approaches in face of climate vagaries.

At the national level, detailed future prevision of crop distribution and productivity as well as socio-economical acceptability of farming and cropping systems that will results due to the impact of climate change.

Latest News

During the last two weeks, the External Review team has been focusing on the field activities of SAMIS, and have...
Within SAMIS, conducting training sessions to share the benefits of this agro-metrological information to farmers nationwide is a responsibility of...
The SAMIS project has been under implementation since 2017 by FAO and national counterparts with many impressive results reported.  Hired...


Climate maps for the Lao People's Democratic Republic
Downscaling climate observation is part of 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 Meteorology and Hydrology (DMH) and the Department of Agricultural Land Management (DALaM) are developing climate maps that depict climatic variables at a geographical scale for the past and future. Each map usually shows one type of variable, most commonly either temperature or precipitation. Climate-related variables that will be mapped are humidity, atmospheric pressure, wind speed, sunlight hours etc. The outputs will support the development of agro-ecological zoning and feed into the Land Resource Information Management System (LRMIS) to be used for agricultural and adaptation policy development.