Research Interests
Research Interests
Satellite Remote Sensing applications for Soil Organic Carbon and Above Ground Biomass of agricultural lands. Carbon sequestration modelling
Optical and SAR image fusion techniques for monitoring a variety of carbon credits related to carbon footprint
Interested to broaden the research activities towards "Remote Sensing Based Vegetation and Carbon Monitoring System for Climate-Resilient Mountain Agriculture"
Biochar-Based Carbon Sequestration: Measurement & Modelling Using Remote Sensing
Study Type: Proof-of-Concept (PoC) R&D Study Area: 21 agricultural plots, Uttar Pradesh, India
Study Period: July – October 2025 Team: 3-member R&D team, addGEO Research Foundation
My Role: Remote Sensing & Carbon Modelling Satellite Platforms: PlanetScope (3–5 m), Sentinel-2 (10 m), Sentinel-1 SAR
Background & Objective
Biochar, a carbon-rich material from biomass pyrolysis, can sequester atmospheric carbon and enhance soil health, moisture, and productivity. As carbon sequestration strategies become vital in climate policy, biochar is key in agricultural carbon markets.
This study established a scientifically grounded, satellite-driven methodology for measuring, reporting, and verifying (MRV) carbon stocks associated with biochar application at the farm level. The PoC tested the feasibility of replacing or substantially reducing costly, labour-intensive soil sampling campaigns with continuous, spatially explicit monitoring using multi-sensor satellite imagery.
Methodological Framework
The study adopted a four-stage remote sensing and field-integration workflow spanning a full crop cycle across four treatment cases (varying biochar application rates of 200–500 kg/acre, with and without organic matter amendment). Have hands on,
Vegetation & Soil Response Monitoring | Above-Ground Biomass (AGB) Estimation | Soil Organic Carbon (SOC) Modelling:
Carbon Sequestration Estimation
A biophysical carbon sequestration model integrated three carbon pools: stable biochar carbon (derived from field application data and standard fractionation parameters), change in SOC stock (ΔSOC, from satellite-based pre/post regression modelling), and optionally change in above-ground biomass carbon (ΔAGB). Net CO₂ removal was computed under two accounting variants and adjusted for life-cycle emissions, drawing on frameworks consistent with IPCC AFOLU guidance and biochar carbon removal methodologies.