GIS and Remote Sensing for Land Zoning and Cover Change Analysis Course in Mombasa, Kenya

This course is ideal for employees working in land departments, consultants, agriculturist, urban and rural planners, environmentalist, M&E practitioners, and consultants, among others.

By the end of the course the learner should be able to:

• Gain advanced GIS and remote sensing skills and ability to apply the same in land zoning.
• Gain expertise in digital image processing with more emphasis on classification.
• Develop an understanding of the operation of GIS and remote sensing in the analysis of land use/ cover changes

5 days

Introduction to GIS and Remote Sensing

• Introduction to GIS and remote sensing in land zoning and land use/cover change analysis
• Land zoning and cover/use change concepts and frameworks
• Drivers of land cover/use change
• Classification system for the mapping of land use and land cover
• GIS project design

Spatial data and remote sensing platforms

• GIS and remote sensing data used for land zoning and land use/cover change
• Understanding sensor/platform systems for remote sensed data
• Geo database creation
• Satellite image data sources for land zoning and land use/cover change analysis.
• Using Quantum GIS software

Data collection and integration techniques

• Data collection using Open Data Kit (ODK).
• GPS, GIS Integration using GIS/RS software.
• GIS and RS for identification of extent of land use and land cover

Pre-processing land cover and land use images 

• Radiometric and geometric image correction
• Temporal normalization
• Imagery geo-coding and geo-referencing
• Image enhancement
• Thermal bands for use in land cover classification

Land use/cover classification

• Signature development
• Supervised classification
• Unsupervised classification
• Classification accuracy assessment

Change detection

• Determining change in specific land cover types
• Multi -criteria analysis for land use suitability site selection

Assessment of land use and land cover changes

• Assessment of spatial distribution of land resources
• Monitoring of infrastructure
• Monitoring dynamic changes in urban growth
• Trend Analysis for Land use
• Cluster analysis
• Terrain analysis
• Modeling and simulating land use

Online publishing of maps and GIS output

• Working with Google Maps and Fusion Tables
• Publishing into other web based platforms