4 Day Workshop on Remote Sensing for Carbon-Climate Relationship

Workshop on Remote Sensing for Carbon-Climate Relationship

Step into the future of climate intelligence—master carbon–climate analysis with remote sensing and turn data into impactful insights.

Course Highlights

✔ Understand carbon–climate system fundamentals

✔ Learn remote sensing–based carbon estimation techniques

✔ Hands-on analysis of carbon capture & sequestration

✔ Explore global climate and carbon datasets from trusted portals

✔ Perform time-series analysis and anomaly detection

✔ Assess long-term climate and carbon trends

✔ Analyze LULC changes and their carbon implications

✔ Real-time demonstrations using industry-relevant tools

✔ Practical workflows applicable to research, policy, and projects

Who Should Enroll

• Students & Research Scholars (Geography, Environmental Science, Climate Science, GIS, Remote Sensing)

• PhD & Master’s students working on carbon, climate, or sustainability themes

• GIS & Remote Sensing professionals

• Climate & environmental analysts

• Urban, regional, and environmental planners

• Academicians and early-career researchers

• Anyone interested in carbon accounting and climate data analysis

Course Highlights

Foundations of Carbon–Climate Systems: Introduction to carbon–climate relationships and their significance in global change studies | Key components of the carbon–climate system and feedback mechanisms | Fundamentals of remote sensing for environmental and climate applications | Exploration of remote sensing–based carbon proxies (vegetation indices, surface properties, biophysical indicators) across major platforms and data portals

Remote Sensing–Based Carbon Estimation: Conceptual understanding of carbon capture and its estimation using satellite data | Carbon sequestration: principles, pathways, and remote sensing–based assessment methods | Estimation of carbon sequestration rate and potential across different land systems | Analysis of vegetation carbon dynamics, including productivity, biomass indicators, and temporal variability.

Climate Data Analytics and Carbon Linkages: Accessing and exploring climate datasets from global and regional platforms | Investigating climate–carbon interactions using spatial and statistical approaches | Time-series analysis of climate and carbon variables to assess variability, trends, and seasonal patterns

Change Detection, Anomalies & Land Use Impacts: Anomaly detection analysis of climate and carbon datasets for identifying extremes and deviations | Estimation of long-term changes and trends in key climate and carbon components | Land Use–Land Cover (LULC) concepts, satellite-based mapping, and analysis of LULC impacts on carbon dynamics

Frequently Asked Questions

What is the workshop about?

The workshop focuses on remote sensing for carbon-climate interactions, covering various analytical tools.

What tools will be covered?

What is the course duration?

Is this workshop beginner-friendly?

Yes, the workshop is designed for beginners to intermediate participants.

Participants will gain hands-on experience with Google Earth Engine, ArcMap/QGIS, R, MS Excel, and Origin.

The course runs on Jan 3-4 and 10-11, 2026, from 6.30 –8.30 PM IST.

Tools covered include Google Earth Engine, ArcMap/QGIS, R, MS Excel, and Origin.

Contact Us

Get in touch for workshop inquiries and registration.

Remote Sensing Workshop Registration

Secure your spot now to gain practical expertise in analyzing carbon-climate interactions using cutting-edge geospatial technologies. Limited seats available for an immersive learning experience!
Registration Closes: Jan 2, 2026