GIS and Remote Sensing for Agriculture, Food Security & Climate Change Seminar

Course overview

GIS and Remote Sensing for Agriculture, Food Security & Climate Change is a practical, application-focused course designed to equip professionals with the skills to use geospatial technologies and Earth observation data to address challenges in agriculture, food security, natural resource management, and climate change. Participants learn how to collect, manage, analyse, and visualize spatial and satellite data to support evidence-based agricultural planning, crop monitoring, drought assessment, land-use analysis, and climate-related decision-making.

The course combines Geographic Information Systems (GIS), Remote Sensing, satellite imagery, spatial analysis, and geospatial data visualization to demonstrate how location-based information can support sustainable agriculture and food-security programmes. Practical applications include crop and land-cover mapping, vegetation monitoring, agricultural suitability analysis, drought and flood assessment, soil and water resource mapping, climate-risk analysis, and monitoring changes in agricultural landscapes. Participants gain practical skills that can be applied by government agencies,

Course objectives

• Use GIS to manage and analyse agricultural and environmental spatial data.
• Interpret satellite imagery for agricultural and environmental applications.
• Map crops, vegetation, land use and land-cover changes.
• Analyse drought, floods and other climate-related risks
• Conduct agricultural land-suitability and vulnerability analysis.
• Integrate satellite, field and other geospatial datasets.
• Produce professional maps, dashboards and analytical reports.
• Apply geospatial technologies to support climate-smart agriculture and sustainable development.

Who should attend

Course content

• Module 1: Introduction to GIS, Remote Sensing and Agricultural Applications Introduction to Geographic Information Systems (GIS), Remote Sensing and Earth Observation, including spatial data, raster and vector data, coordinate systems, satellite sensors,
• Module 2: Agricultural Geospatial Data Collection, Preparation and Management Collection, preparation and management of agricultural and environmental spatial data, including farm boundaries, crop data, soils, rainfall, temperature, water resources, GPS/
• Module 3: GIS Mapping and Spatial Analysis for Agriculture Creation and management of agricultural GIS projects, including importing, editing, querying and visualizing spatial data. Participants learn thematic mapping, attribute-table management, spatial
• Module 4: Satellite Imagery Acquisition and Image Processing Introduction to satellite imagery and Earth observation datasets such as Sentinel, Landsat and MODIS, including satellite bands, spatial, spectral and temporal resolution, image selection, clou
• Module 5: Vegetation Indices and Crop Health Monitoring Analysis of vegetation conditions using satellite-derived indices, including NDVI, EVI, SAVI and NDWI. Participants learn how to calculate and interpret vegetation indices, monitor crop growth, iden
• Module 6: Crop Mapping, Classification and Agricultural Monitoring Application of Remote Sensing and GIS techniques to identify and map agricultural land and crop types. Topics include image classification, supervised and unsupervised classification, tra
• Module 7: Soil, Terrain and Land Degradation Analysis GIS and Remote Sensing approaches for analyzing soil and terrain characteristics relevant to agricultural production. Participants work with Digital Elevation Models (DEMs), elevation, slope, aspect,
• Module 8: Agricultural Land Suitability and Multi-Criteria Analysis GIS-based assessment of land suitability for agricultural activities and selected crops using factors such as soil, rainfall, temperature, elevation, slope, water availability and land u
• Module 9: Rainfall, Temperature and Climate Data Analysis Collection, preparation and spatial analysis of rainfall and temperature data for agricultural and climate applications. Participants examine rainfall distribution, seasonal variability, temperatu
• Module 10: Drought Monitoring and Agricultural Early Warning Application of GIS and Remote Sensing to drought assessment and agricultural early-warning systems, including rainfall anomalies, vegetation stress, NDVI-based drought monitoring, temperature c
• Module 11: Flood, Water Resources and Agricultural Risk Mapping GIS and satellite-based assessment of water resources, flooding and agricultural exposure. Participants learn drainage and watershed analysis, Digital Elevation Model applications, surface-w
• Module 12: Food Security Mapping and Vulnerability Analysis Use of GIS to assess the spatial dimensions of food security by integrating agricultural production, population, accessibility, climate, environmental and socioeconomic datasets. Participants le
• Module 13: Land Use/Land Cover Mapping and Change Detection Mapping and monitoring agricultural land, forests, settlements, wetlands, water bodies and other land-cover classes using satellite imagery. The module covers image classification, multi-tempora
• Module 14: Climate Change Impact and Vulnerability Mapping Application of GIS and Remote Sensing to understand the spatial impacts of climate change on agriculture and natural resources. Topics include climate variability, drought, heat stress, flooding,
• Module 15: Google Earth Engine for Agriculture and Climate Analysis Introduction to Google Earth Engine for cloud-based processing of large satellite and environmental datasets. Participants learn to access Sentinel and Landsat imagery, filter imagery by
• Module 16: GIS and Remote Sensing for Climate-Smart Agriculture Application of geospatial technologies to climate-smart agriculture, including crop monitoring, precision agriculture concepts, irrigation planning, soil and water conservation, drought-resi
• Module 17: Integrated Agricultural, Food Security and Climate Risk Assessment Integration of GIS, Remote Sensing, agricultural, environmental, climate and socioeconomic datasets to conduct a comprehensive spatial assessment. Participants combine vegetati
• Module 18: Practical GIS and Remote Sensing Project Development of a complete practical project covering data acquisition, preparation, satellite-image processing, GIS analysis, vegetation monitoring, agricultural suitability, climate-risk assessment, fo

Schedule & fees