Coat of Arms of Fiji

Advanced training on Earth Observation (EO) and Geospatial Information Technology (GIT) Applications for Climate Resilience

Course Content

The course will start with recalling the basics concepts of GIS and Remote Sensing learned from the first training session. The following sessions will also provide them with theoretical understanding of advanced remote sensing and Land Use/Land Cover (LULC) mapping. The participants will then utilise time series satellite imagery to understand change in the landcover. Additionally, the participants will develop a rapid response mapping and post-disaster damage assessment based on the Tropical Cyclone Harold. Towards the end of the session the participants will be introduced to web mapping tools.

Learning Objectives

At the end of this course participants should be able to:

  • Recall basic concepts of Geographic Information System and Remote Sensing*
  • Design and manage spatial data in geodatabases
  • Perform digital image enhancement & classification using very high-resolution satellite data
  • Assess the landcover changes using geo big data analytics and google earth engine
  • Develop population exposure analysis for tropical cyclones wind hazard
  • Assess building damage from tropical cyclone using very high-resolution satellite images
  • Develop web-based products to convey clear and concise decision support information
  • Design priority case studies in GIT applications for Climate Resilience

Chapter 1: Geodata Management Quality Improvement

Introduction What is a geodatabase?A Geodatabase is a data storage and management framework developed by ESRI. It is a relational ...
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Chapter 2: Digital Image Classification Techniques for Landcover Mapping

Section A: Enhancing Very High-Resolution Image for Feature Extraction Introduction Feature extraction can be defined as image processing techniques to ...
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Chapter 3: Landcover Change Detection Analysis Using Satellite Imagery

Section A: Performing Change Detection Analysis in the Cloud Using Google Earth Engine Introduction Google Earth Engine is a cloud-based ...
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Chapter 4: Rapid Response Mapping in Emergency Situations

Tropical Cyclone - Population Exposure Analysis Introduction Severe Tropical Cyclone Harold was a very powerful tropical cyclone which caused widespread ...
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Chapter 5: Post Disaster Damage Assessment Trough Visual Interpretation of Satellite Images

Introduction Quantitative estimation of building damages is extremely important after a disastrous event. An integrated remote sensing and GIS-based analysis ...
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Chapter 6: Web Mapping as Decision Support Information

Introduction ArcGIS Online is a cloud-based geographic information system (GIS). You can use it to create, use, and share geospatial ...
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