Coat of Arms of Vanuatu
CS-5202-VUT

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 the basic concepts of Geographic Information System and Remote Sensing 
  • Apply digital image processing techniques for Land Use Land Cover (LULC) mapping from satellite images 
  • Assess the landcover change using time-series satellite images (time series change detection – visual interpretation or band analysis?) 
  • Develop a Population Exposure Analysis for Tropical Cyclones
  • Utilise satellite imagery for post-disaster damage assessment
  • Develop web-based products to convey clear and concise decision support information  
  • Design priority case studies in GIT applications for Climate Resilience 

Chapter 1: Review of Introductory Training

Introduction During the Introductory training held in November 2019, we had the chance to learn basic concepts and functions in ...
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Chapter 2: Land Cover Change Detection using Remote Sensing Index (NDVI)

Introduction Land cover classification is the process of assigning land cover classes (forest, urban, water, et) to a pixel (or ...
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Chapter 3: Rapid Response Mapping in Emergency Situations

Tropical Cyclone - Population Exposure Analysis Introduction Severe Tropical Cyclone Harold was a very powerful tropical cyclone that caused widespread ...
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Chapter 4: Post Disaster Damage Assessment Trough Visual Interpretation of Satellite Images

Introduction Quantitative estimation of buildings damage is extremely important after a disastrous event. An integrated remote sensing and GIS-based analysis ...
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Chapter 5: Web Mapping as Decision Support Information

Introduction Web Mapping is a service through which the consumers can choose what they want to show on the map ...
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