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

A Geodatabase is a data storage and management framework developed by ESRI. In this module you will be able to focus on the conceptual and logical phase of designing a geodatabase and build a personal geodatabase.

Chapter 2: Digital Image Classification Techniques for Landcover Mapping

In this chapter you will be familiarized with techniques of image enhancement on very high-resolution imagery and digital image classification using ArcMap.

Chapter 3: Landcover Change Detection Analysis Using Satellite Imagery

Google Earth Engine is a cloud-based platform for planetary-scale environmental data analysis. In this chapter You will become familiarized with some basic tools and functionalities of Google Earth Engine (GEE).

Chapter 4: Rapid Response Mapping in Emergency Situations

In this chapter we are going to perform Population Exposure Analysis in case Tropical Cyclone Harold using some geoprocessing functionalities of ArcGIS.

Chapter 5: Post Disaster Damage Assessment Trough Visual Interpretation of Satellite Images

Quantitative estimation of building damages is extremely important after a disastrous event. In this exercise you are going to use a Very High-Resolution Satellite images to compare and detect the damages.

Chapter 6: Web Mapping as Decision Support Information

This chapter will give you a foundation for working with ArcGIS Online. You will learn what ArcGIS Online is and the benefits that you and your organization can gain by using it.