Background The UN Sustainable Development Goal 2 (“zero hunger”) aims to end hunger, achieve food security and improved nutrition, and promote sustainable agriculture. The Government of Nepal (GoN) recognizes the prevailing situation of food insecurity across the country and attaches high importance to ensuring food security for all. However, there is a need to build upon significant capacity in food security planning, monitoring and evaluation within the GoN to enable it to provide reliable and timely information to support planning and policy decision making processes. Monitoring and estimating crop acreage at a national scale is required to determine the national or sub-national food demand and supply balance, and its implications for food production and food security. Whether during times of world food shortages, or during periods of surplus, monitoring and estimating crop acreage requires long-term efforts. The Sustainable Development Goals (SDGs) also include doubling productivity and incomes of smallholders as key targets. Estimates and forecasts of crop area and yield are of critical importance to policy makers for the planning of agricultural production and monitoring of food supply. The operational use of open-source satellite-based and model information to monitor climate and crops at daily and seasonal levels for integrated analysis of crop performance provides a cost-effective means to support decision making processes. To adopt new technologies in food security assessments, the Statistics Unit of the Ministry of Agriculture and Livestock Development (MoALD) and ICIMOD’s SERVIR Hindu Kush Himalaya (SERVIR-HKH) Initiative are codeveloping an operational service for crop area and yield estimation using remote sensing and machine learning. Capacity building of agriculture professionals in the use of new technologies is a priority area to keep research aligned with recent technological developments. Earth Observation (EO) technologies have tremendous potential to support the implementation of long-term and large-scale research and development programmes and for resolving the data and information gaps in the agriculture sector – status and changes in land use, agricultural production, and resilience for food security, among many other aspects. In this context, MoALD, in collaboration with ICIMOD and the World Food Programme (WFP), is organizing a three-day training workshop on satellite remote sensing supported crop mapping and associated field data collection processes on 02–04 March 2021 in Chitwan, Nepal. Objectives This workshop aims to train professionals from relevant institutions on satellite data analysis for agriculture monitoring and food security assessment and associated field-based observations. This training will also provide operational skills to field level professionals to engage in crop monitoring and yield estimation processes. Expected Outcomes The training is expected to strengthen co-development and adoption of methodologies for crop monitoring being jointly developed by MoALD and ICIMOD. Expected Participants A total of fifteen nominated agriculture officers and extension staff from Chitwan, Nawalparasi, Bara and Rupandehi districts in Nepal are expected to participate in this training. Resource persons and facilitators MoALD: Shib N. Shah, Ram K. Regmi, and Salik Paudel ICIMOD: Faisal M Qamer, Birendra Bajracharya, Sravan Shrestha,Kiran Shakya, Rajesh Shrestha WFP: Mann K. Chhetri Agenda 02–04 March 2021 Day 1 – Tuesday, 02 March 2021 Time Programme description Resource persons 09:15–09:30 Registration 09:30–10:30 Session 1: Opening session Welcome remarks Overview and objectives of the training Overview of the SERVIR Hindu Kush Himalaya Initiative Overview of ICIMOD and MoALD’s collaboration Opening remarks Ram K. Regmi, MoALD Faisal M. Qamer, ICIMOD Birendra Bajracharya, ICIMOD Shib N. Shah, MoALD Joint Secretary, MoALD (TBD) 10:30–10:45 Group photo 11:00–11:30 Coffee/ tea break 11:30–12:15 Session 2: Overview of Earth observation applications Application of satellite remote sensing in the agriculture sector Principles of optical and synthetic aperture radar (SAR) remote sensing Faisal Qamer and Sravan Shrestha, ICIMOD 12:15–13:00 Session 3: Learnings from rice area estimation 2020 Field data collection in Covid-19 situation: Satellite remote sensing processing approach applied Review of the crop area estimate results for Chitwan and neighbouring districts Shib N. Shah/Salik Paudel, MoALD Sravan Shrestha, ICIMOD Ram K. Regmi, MoALD /Faisal Qamer, ICIMOD 13:00–13:45 Lunch 13:45–14:45 Session 4: GIS in food security assessment Use of GIS for food security assessments Drought Watch/CropScape Nepal Mann K. Chhetri, World Food Programme Shib N. Shah, MoALD/ Faisal Qamer, ICIMOD 15:00–15:30 Coffee/Tea break 15:30–16:30 Session 5: Exploring online system for drought and food security assessment Day 2 – Wednesday, 03 March 2021 Time Field day Resource persons 09:15–10:30 Session 10: Mobile App for Field data collection in Crop Monitoring Introduction to sampling requirements and data attributes Geofairy – Nepal App: Introduction and operationalisation for field data collection Kiran Shakya, ICIMOD Salik Paudel, MoALD 10:30–11:00 Coffee/tea break 11:00–12:00 Group work on field area stratification for Chitwan and surrounding districts Shib N. Shah and Salik Paudel, MoALD 12:00–13:00 Lunch 13:00–16:30 Field exercise Day 3 – Thursday, 04 March 2021 Time Field day 09:00–15:00 Field data collection for wheat area mapping in Chitwan district 16:00–16:30 Review of field work and closing session