GIS and Remote Sensing for Natural Resource Management Training in Kisumu, Kenya by EduCore Global Skills

Module 1: Foundations of GIS and Remote Sensing in Natural Resource Management

Core competencies for Foundations of GIS and Remote Sensing in Natural Resource Management.

• Overview of GIS and remote sensing concepts and their role in natural resource management
• Types of natural resource data: spatial, attribute, and temporal data
• Coordinate systems, projections, and datums for resource mapping
• Sources of free and open geospatial data (Landsat, Sentinel, SRTM, OpenStreetMap, national datasets)
• Introduction to GIS software (QGIS, ArcGIS Pro) and Google Earth Engine

Module 2: Remote Sensing Principles and Image Acquisition

Core competencies for Remote Sensing Principles and Image Acquisition.

• Electromagnetic spectrum and spectral signatures of vegetation, soil, and water
• Satellite platforms and sensors: optical, radar (SAR), thermal, and LiDAR
• Spatial, spectral, temporal, and radiometric resolution
• Drone (UAV) imagery acquisition and flight planning
• Downloading and organizing satellite imagery

Module 3: Image Preprocessing and Enhancement

Core competencies for Image Preprocessing and Enhancement.

• Radiometric and atmospheric correction
• Geometric correction, georeferencing, and orthorectification
• Image mosaicking, subsetting, and cloud masking
• Band combinations and false-color composites
• Spectral indices: NDVI, EVI, NDWI, NBR, and SAVI

Module 4: Image Classification and Land Use/Land Cover Mapping

Core competencies for Image Classification and Land Use/Land Cover Mapping.

• Designing land cover classification schemes
• Supervised and unsupervised classification methods
• Machine learning classifiers (Random Forest, SVM) and cloud-based classification
• Accuracy assessment: confusion matrix, kappa coefficient, and validation sampling
• Land cover change detection and trend analysis

Module 5: Forest and Vegetation Resource Management

Core competencies for Forest and Vegetation Resource Management.

• Forest cover mapping and deforestation monitoring
• Forest degradation, biomass, and carbon stock estimation
• Vegetation health and phenology monitoring
• Forest fire risk mapping, burn severity, and post-fire assessment
• Using remote sensing for REDD+ and sustainable forest management reporting

Module 6: Water Resources and Watershed Management

Core competencies for Water Resources and Watershed Management.

• Watershed delineation and drainage network extraction from DEMs
• Surface water mapping and monitoring of lakes, rivers, and wetlands
• Flood mapping and inundation analysis using optical and SAR data
• Drought monitoring and soil moisture assessment
• Water quality assessment using remote sensing (turbidity, chlorophyll, sediment)

Module 7: Agriculture, Rangeland, and Soil Resource Management

Core competencies for Agriculture, Rangeland, and Soil Resource Management.

• Crop type mapping and cropland monitoring
• Crop condition assessment and yield estimation
• Rangeland and pasture condition monitoring
• Soil erosion modeling (RUSLE) and land degradation assessment
• Precision agriculture and early warning systems for food security

Module 8: Spatial Analysis for Resource Planning and Decision-Making

Core competencies for Spatial Analysis for Resource Planning and Decision-Making.

• Terrain analysis: slope, aspect, and elevation derivatives
• Overlay, buffer, and proximity analysis for resource planning
• Multi-criteria evaluation and land suitability analysis
• Habitat suitability and biodiversity conservation planning
• Human-wildlife conflict and protected area management mapping

Module 9: Field Data Collection, Integration, and Climate Applications

Core competencies for Field Data Collection, Integration, and Climate Applications.

• GPS and mobile data collection tools (KoboToolbox, QField, ArcGIS Field Maps)
• Designing sampling strategies and ground-truthing campaigns
• Integrating field data with satellite imagery
• Climate data analysis: rainfall, temperature, and long-term trends
• Climate change vulnerability assessment and adaptation planning

Module 10: Cartography, Web Mapping, and Capstone Project

Core competencies for Cartography, Web Mapping, and Capstone Project.

• Principles of map design and thematic cartography
• Creating professional maps, layouts, and reports
• Cloud processing and automation with Google Earth Engine and Python
• Publishing web maps and dashboards for stakeholders
• Capstone project: end-to-end natural resource assessment using GIS and remote sensing

How is GIS and Remote Sensing for Natural Resource Management Training delivered?

GIS and Remote Sensing for Natural Resource Management Training is delivered through instructor-led classroom, live online, private in-house corporate training depending on the selected cohort or organizational arrangement.

What are the fees for GIS and Remote Sensing for Natural Resource Management Training?

The published course investment is KES 180,000 and USD 2,200. Location-specific fees are shown where configured.

How long is GIS and Remote Sensing for Natural Resource Management Training?

GIS and Remote Sensing for Natural Resource Management Training runs for 5 Days unless a customized corporate schedule is agreed.

Do participants receive a certificate for GIS and Remote Sensing for Natural Resource Management Training?

Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.

Where can I take GIS and Remote Sensing for Natural Resource Management Training?

GIS and Remote Sensing for Natural Resource Management Training is available in Kisumu, Kenya. Current dates are shown only where real sessions have been configured.

Who should attend GIS and Remote Sensing for Natural Resource Management Training?

GIS and Remote Sensing for Natural Resource Management Training is designed for GIS Officers, Data Analysts, Planners, Survey Teams, M&E Officers, Environmental Officers and organizations that need practical capability in Geospatial Analytics, GIS, and Remote Sensing Technologies.

What are the prerequisites for GIS and Remote Sensing for Natural Resource Management Training?

No mandatory prerequisite is required unless stated in the course outline. Practical workplace experience in the subject area is helpful.