15 Topics
5 Days
45 Sessions
Programme Overview
Training Description
Environmental scientists and researchers
Climate change professionals and policymakers
Remote sensing and GIS specialists
Urban planners and conservationists
Geospatial analysts and data scientists
Non-governmental organizations (NGOs) focused on climate change
Students and professionals aiming to specialize in climate change and environmental monitoring
Session Objectives
- Understand the Fundamentals of Remote Sensing Gain a strong foundation in remote sensing technology and principles Learn about various remote sensing platforms such as satellites, drones, and aircraft Understand the types of sensors used to collect climate data and the role of satellite imaging in climate change monitoring Analyze Climate Change Indicators Using Remote Sensing Data Learn how to monitor climate change indicators such as sea-level rise, ice cap melting, and land use changes Apply satellite imagery to detect and analyze temperature variations, deforestation, and carbon emissions Use Remote Sensing Tools for Data Collection and Analysis Gain hands-on experience in using GIS software and remote sensing tools such as Google Earth Engine and ArcGIS Develop the skills to process and analyze satellite data for monitoring climate change Monitor Climate Change Impacts on Ecosystems Explore the relationship between climate change and ecosystem disruptions, such as habitat loss and biodiversity changes Understand the role of remote sensing in tracking forest cover, vegetation health, and water resources Assess Environmental Policy and Adaptation Strategies Learn how remote sensing data can inform climate change policies, disaster response strategies, and climate adaptation plans Understand the role of remote sensing in achieving climate goals set by international agreements like the Paris Agreement Explore Future Trends in Climate Change Monitoring Investigate the latest advancements in remote sensing technology for climate monitoring Stay updated on the emerging tools and technologies that will revolutionize climate change research This course will provide participants with a comprehensive toolkit to understand, analyze, and monitor the effects of climate change, equipping them to take informed actions in their respective fields.
About the Course
Lidar (Light Detection and Ranging) technology has revolutionized the way we Climate change is one of the most critical global challenges, impacting ecosystems, human societies, and economies worldwide. Remote sensing technologies provide invaluable data and tools to track environmental changes and assess the effects of climate change. This course, "Climate Change Monitoring with Remote Sensing," offers participants an in-depth understanding of how remote sensing techniques can be leveraged for climate change research, environmental monitoring, and policy development. By using satellite imagery and data analysis, professionals can gain insights into crucial climate-related phenomena, such as temperature variations, sea-level rise, deforestation, and more.
Participants will be introduced to the latest remote sensing technologies, including satellite imagery, LIDAR, and drones, with a focus on their application in climate change monitoring. Through practical examples, case studies, and hands-on exercises, this course will equip participants with the skills to analyze and interpret remote sensing data for effective climate change mitigation and adaptation strategie
Curriculum & Topics
15 Topics | 45 Sessions
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Workshop 1.1:
Overview of remote sensing principles and technology
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Workshop 1.2:
The role of remote sensing in monitoring climate change
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Workshop 1.3:
Key applications of remote sensing in environmental science
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Workshop 2.1:
Types of satellites and their sensors
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Workshop 2.2:
Understanding spatial, spectral, and temporal resolution
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Workshop 2.3:
Introduction to satellite data sources for climate change monitoring
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Workshop 3.1:
How satellite data is collected
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Workshop 3.2:
Pre-processing techniques for satellite imagery
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Workshop 3.3:
Data correction methods: radiometric, geometric, and atmospheric corrections
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Workshop 4.1:
Analyzing land surface temperature variations
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Workshop 4.2:
Identifying changes in vegetation and land cover
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Workshop 4.3:
Measuring atmospheric composition (CO2, methane, and aerosols)
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Workshop 5.1:
Using remote sensing to detect deforestation and forest cover change
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Workshop 5.2:
Monitoring carbon sequestration and forest health
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Workshop 5.3:
Case studies of successful deforestation monitoring programs
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Workshop 6.1:
Techniques to monitor sea-level rise using satellite data
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Workshop 6.2:
Analyzing coastal erosion and habitat loss
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Workshop 6.3:
Tools for tracking shoreline changes and flood-prone areas
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Workshop 7.1:
Satellite-based analysis of glaciers and polar ice caps
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Workshop 7.2:
Impacts of glacial retreat on global sea levels
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Workshop 7.3:
Remote sensing methods for tracking snow and ice melt
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Workshop 8.1:
Using remote sensing to assess natural disaster impacts
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Workshop 8.2:
Climate-induced disaster monitoring (wildfires, floods, hurricanes)
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Workshop 8.3:
• Analyzing vulnerability and resilience to climate-related disasters
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Workshop 9.1:
Role of remote sensing in tracking biodiversity loss
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Workshop 9.2:
Analyzing ecosystem changes using satellite imagery
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Workshop 9.3:
Monitoring critical habitats and wildlife populations
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Workshop 10.1:
Remote sensing applications for water availability and quality
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Workshop 10.2:
Monitoring water bodies (lakes, rivers, and wetlands) for climate change impacts
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Workshop 10.3:
Case studies on drought monitoring and water scarcity assessments
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Workshop 11.1:
Techniques for detecting and analyzing greenhouse gas emissions
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Workshop 11.2:
Using remote sensing for carbon flux and carbon sequestration monitoring
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Workshop 11.3:
Tools for mapping emissions from agricultural and industrial sources
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Workshop 12.1:
Introduction to GIS and spatial analysis for climate monitoring
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Workshop 12.2:
Advanced techniques for change detection using time-series analysis
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Workshop 12.3:
Integrating remote sensing data with other environmental datasets
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Workshop 13.1:
Using remote sensing data to create climate models
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Workshop 13.2:
The role of satellite imagery in predictive climate modeling
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Workshop 13.3:
Simulating future climate scenarios using remote sensing data
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Workshop 14.1:
How remote sensing data informs climate change policy decisions
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Workshop 14.2:
Tools for assessing climate change impacts and adaptation strategies
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Workshop 14.3:
The role of remote sensing in international climate change frameworks
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Workshop 15.1:
Emerging technologies in remote sensing (LIDAR, hyperspectral imaging, drones)
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Workshop 15.2:
The impact of AI and machine learning on climate change monitoring
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Workshop 15.3:
Future applications and the evolving role of remote sensing in climate change research
