Master Biomass & Carbon Estimation

Join 4 day Workshop on Age-Based Biomass & Carbon Estimation Using Remote Sensing & GIS with Indaca Institute of Skills

Rated 4.7/5

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★★★★★

Dates: 30–31 May 2026 & 6–7 June 2026

Time: 7:30 PM - 9:30 PM (IST) | Saturday and Sunday

Mode: Online (via Zoom)

Instructor: Dr. SK Vazeed Pasha

Research Scientist | BRICS Young Scientist

National Institute of Advanced Studies (NIAS), IISc Campus, Bengaluru

About Our Workshop

Dive deep into biomass and carbon estimation using cutting-edge remote sensing and GIS tools.

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Course Highlights

Precision tools for biomass and carbon estimation using GIS and remote sensing.

Foundations of Remote Sensing & GIS
Vegetation Analysis & Indices
Satellite Data Processing & Change Detection
Age-Class Mapping & Time-Series Analysis
Biomass & Carbon Estimation
Spatial Modelling, Validation & Outputs

Interactive GIS map highlighting carbon density variations across a forested region.

Seats are limited. Secure your participation today and strengthen your expertise in climate analytics, forestry, carbon mapping, and geospatial modelling.

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FAQs

Who should attend?

Researchers, GIS analysts, and environmental professionals interested in biomass estimation.

What tools are used?

Is prior experience needed?

How long is the workshop?

Will materials be provided?

Basic understanding of GIS and remote sensing helps, but we cover fundamentals to bring everyone up to speed.

The workshop will use industry-standard GIS and remote sensing tools including QGIS, ArcGIS Pro, ERDAS Imagine, and Google Earth Engine along with satellite data portals such as USGS Earth Explorer, Copernicus Open Access Hub, and ISRO Bhuvan, supported by programming and analysis tools like Python and R for end-to-end biomass and carbon estimation workflows.

Yes, all participants receive digital resources and datasets for practice.

The workshop runs over 4 immersive weekend sessions (30–31 May & 6–7 June 2026), delivering focused, hands-on training for 2 hours each evening (7:30–9:30 PM IST) to ensure deep practical learning without disrupting your weekday schedule.

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