GIS for net zero India means using geographic information system (GIS) technology to map, monitor, and verify greenhouse gas emissions across energy, industry, transport, land use, and waste sectors. It also means identifying and quantifying the carbon sinks that forests, mangroves, and soils provide. Together, this generates the spatial evidence base that policymakers, regulators, and corporations need to plan credible, cost-effective decarbonisation pathways to India’s 2070 net zero target.
India’s Net Zero Pledge and the Geospatial Imperative
India, at COP 26 in November 2021, announced its target to achieve net zero by 2070. India’s historical cumulative emissions from 1850 to 2019 amount to less than 4 percent of cumulative carbon dioxide emissions from the pre-industrial era, despite being home to 17 percent of the world’s population. India’s annual per capita emissions are only about one-third of the global average.
India’s net zero journey is built on the five Panchamrit pledges for 2030, reaching 500 GW of non-fossil energy capacity, sourcing 50 percent of energy requirements from renewables, reducing emissions intensity by 45 percent from 2005 levels, creating an additional carbon sink of 2.5 to 3 billion tonnes through forest and tree cover, and achieving net zero emissions by 2070. India’s long-term low-carbon development strategy rests on seven key transitions, including low-carbon electricity systems, integrated efficient transport, sustainable urbanization, economy-wide decoupling of growth from emissions, carbon dioxide removal, enhanced forest and vegetation cover, and meeting the economic and financial needs of low-carbon development.
Every one of these transitions has a spatial dimension. Where emissions are concentrated, where sinks are located, where renewable potential and industrial decarbonisation opportunities align, and where the transition’s social costs will fall are all questions that require a geographic answer. GIS is the platform that provides it.
What Is Carbon Footprint Mapping with GIS?
Carbon footprint mapping with GIS is the spatial indexing of greenhouse gas emission sources and carbon sinks across a defined geography. It lets analysts quantify emissions by sector, identify high-priority intervention zones, monitor changes over time, and verify mitigation outcomes against baselines.
It connects activity data, fuel consumption records, satellite-derived land cover change, atmospheric measurements, and facility-level production statistics to their precise geographic locations. The result is a spatially indexed emissions inventory that you can query at any scale, from the individual industrial facility to the district, state, or national level, and overlay with population, infrastructure, and economic data to design interventions that are both climatically effective and socially equitable.
CCTS: Why GIS Is Now Critical Infrastructure for India’s Carbon Market
On March 21, 2026, Power Minister Manohar Lal Khattar launched the Indian Carbon Market Portal at the Prakriti 2026 International Conference on Carbon Markets in New Delhi. The portal serves as the central digital backbone of the Carbon Credit Trading Scheme (CCTS), India’s national carbon market. It enables end-to-end processes from entity registration to the issuance of Carbon Credit Certificates (CCCs), including validation, verification, and accreditation of Monitoring, Reporting and Verification (MRV) bodies.
The CCTS targets seven industrial sectors: aluminium, cement, chlor-alkali, pulp and paper, petroleum refining, petrochemicals, and textiles, covering approximately 490 units with legally binding emission intensity targets for FY 2026 and FY 2027, using FY 2024 data as the baseline. The first CCC trading is expected to be launched by mid-2026. Once all nine energy-intensive sectors are notified, around 740 entities will have legally binding emission intensity targets, and the CCTS compliance mechanism is set to initially cover over 700 million tonnes of CO2e, placing India among the world’s largest emissions trading systems.
GIS is essential infrastructure for the CCTS at every operational stage. Before a Carbon Credit Certificate can be issued or traded, three things must be spatially verifiable: the geographic boundary of the project or facility generating the credit, the baseline emissions against which reduction is measured, and the additionality of the claimed reduction. ArcGIS Pro supports geospatial mapping, editing, and analysis capabilities that can define precise facility boundary polygons and overlay them with satellite imagery. This helps verify operational status and supports spatial validation of reported activity data.
For voluntary carbon projects, particularly nature-based solutions like afforestation, mangrove restoration, and soil carbon enhancement under the Compensatory Afforestation Fund Management and Planning Authority (CAMPA) and the Green India Mission, GIS is indispensable for project boundary delineation, baseline carbon stock assessment, and temporal monitoring of sequestration outcomes. ArcGIS Image provides imagery and remote sensing capabilities that support change detection workflows using multi-temporal satellite imagery, which can complement ground-based biomass surveys.
How GIS Maps Emissions Across Sectors
Energy and industrial clusters
India’s hard-to-abate industrial emissions are geographically concentrated. Steel production clusters in Jamshedpur, Visakhapatnam, Bhilai, and Rourkela. Petrochemicals are concentrated in the Dahej, Hazira, and Jamnagar corridors of Gujarat. Thermal power emissions are densest in the Singrauli, Korba, Ramagundam, and Mundra belts, and cement clusters are concentrated in Rajasthan, Andhra Pradesh, and Chhattisgarh. GIS geocodes facility-level production and fuel consumption data from energy audit records, Ministry of Steel, and Central Electricity Authority generation data, assigning verified emission intensities to precise coordinates. Spatial concentration analysis then identifies which industrial clusters account for the largest share of sectoral emissions per geographic unit, prioritizing where decarbonisation investments yield the highest return per rupee spent.
Transport emissions
National Highway and state road network traffic density data, combined with vehicle fleet composition data from the Ministry of Road Transport and Highways’ (MoRTH) VAHAN database and state transport department records, enables a route-level transport emissions map. GIS models freight and passenger vehicle emissions by corridor, identifying which highway segments, port access roads, and last-mile logistics zones are the highest-emission transport geographies. This directs investments in EV charging infrastructure, logistics parks, and multimodal freight nodes under PM Gati Shakti where they will decarbonize the most vehicle-kilometers.
Agriculture and livestock emissions
India’s AFOLU (Agriculture, Forestry, and Other Land Use) sector is both a significant emission source and its largest carbon sink. Methane from rice paddy cultivation is spatially concentrated in West Bengal, Odisha, Andhra Pradesh, and Tamil Nadu. N2O emissions from synthetic fertilizer use are highest in Punjab, Haryana, and western Uttar Pradesh, while livestock methane is densest in Rajasthan, Uttar Pradesh, and Madhya Pradesh. Indo ArcGIS Living Atlas provides curated land cover, crop distribution, and demographic data layers for India that can anchor district-level AFOLU emissions estimates in verified spatial data.
Atmospheric methane mapping with Sentinel-5P TROPOMI
The European Space Agency’s Sentinel-5P satellite’s TROPOMI instrument measures atmospheric methane column concentrations at 7×5.5 km pixel resolution, generating near-daily global methane maps. GIS platforms process these satellite-derived methane products over Indian geographies, identifying methane anomalies above coalmine areas, large landfill sites, and rice cultivation districts. These anomalies supplement ground-level emission factor calculations with independent satellite-based verification.
Mapping the Carbon Sink: Forests, Mangroves, and Soil Carbon
India’s commitment to an additional carbon sink of 2.5 to 3 billion tonnes through forest and tree cover is the Panchamrit pledge with the most direct GIS dependence.
The Forest Survey of India (FSI) publishes the biennial India State of Forest Report (ISFR), which uses satellite imagery interpretation to classify and measure forest cover across India’s entire geographic area. In consonance with the National Forest Policy, 1988, which envisages at least one-third of the total land area under forest or tree cover, various afforestation schemes under the Ministry of Environment, Forest and Climate Change (MoEFCC), Green India Mission, Nagar Van Yojana, and CAMPA support states for afforestation and tree plantation activities. The Desertification and Land Degradation Atlas of India, published by ISRO-SAC, estimates land degradation and desertification at 97.84 million hectares in 2018-19, providing state-wise data for restoration planning.
GIS platforms enable the spatial analysis workflows that convert satellite imagery change detection into carbon stock change estimates. These include tree canopy density mapping from high-resolution imagery, above-ground biomass estimation using calibrated allometric models, and temporal comparison of forest extent between ISFR cycles to quantify net sequestration gains or losses.
Blue carbon sinks in Sundarbans, Bhitarkanika, Pichavaram, and Gulf of Kachchh mangrove systems represent some of India’s most carbon-dense ecosystems per unit area. The ISFR’s mangrove extent mapping, cross-referenced with biomass carbon density coefficients, provides the spatial accounting framework for mangrove blue carbon stock assessment. The CCTS voluntary offset mechanism will increasingly require this framework for coastal nature-based solution projects.
The Indian Council of Forestry Research and Education (ICFRE) applies spatial statistical models to soil sampling data, land use history, and climate variables to estimate soil organic carbon stocks across different agro-ecological zones. GIS-based soil carbon maps identify where agricultural management practice changes, such as reduced tillage, cover cropping, and biochar application, would deliver the highest incremental carbon sequestration per hectare. This informs the design of offset methodologies under the CCTS voluntary market.
City-Level Emissions Dashboards and BRSR Compliance
City emissions dashboards
India’s C40 cities, a global network of mayors committed to climate action, including Mumbai, Bengaluru, and Chennai, along with Local Governments for Sustainability (ICLEI) South Asia partner cities such as Pune, Coimbatore, Indore, and Thane, are developing ward-level emissions inventories. These cover buildings, transport, waste, and urban green cover using the GPC (Global Protocol for Community-Scale Greenhouse Gas Emission Inventories) framework. ArcGIS GeoAnalytics Server provides distributed analysis tools that can process large volumes of ward-level emissions and consumption data to detect patterns, hot spots, and trends, supporting urban climate action tracking in the formats CSCAF scoring requires.
Corporate Scope 3 and BRSR
SEBI’s Business Responsibility and Sustainability Reporting (BRSR) Core mandate requires India’s top 150 listed companies to provide independently assured ESG disclosures, including Scope 1 and Scope 2 GHG emissions. The next wave of BRSR ambition, already discussed by SEBI, extends to material Scope 3 categories. GIS enables corporate sustainability teams to geocode their supplier networks, map logistics route emissions, and quantify embodied carbon in key supply chain geographies. This builds the spatial evidence base that BRSR Core verified disclosure and eventual Scope 3 accounting will require. ArcGIS Hub provides an open data platform capability that can allow cities, states, and industry associations to publish georeferenced emissions data, carbon sink monitoring results, and climate action progress dashboards for public accountability and stakeholder engagement.
Just Transition Mapping: Where GIS Connects Climate and Equity
India’s coal transition is geographically concentrated. The national low-carbon strategy explicitly addresses economic and financial needs of low-carbon development as one of its seven key transitions. Dhanbad in Jharkhand, Korba in Chhattisgarh, Angul in Odisha, and Singrauli in Madhya Pradesh and Uttar Pradesh are districts where coal mining and thermal power employment supports hundreds of thousands of workers and the local economies that depend on them.
GIS enables just transition planning by spatially overlaying several layers of information. Coal mine operational boundaries, reserves, and projected closure timelines reveal where economic disruption will be sharpest. Worker residence distributions from Census village-level data show where the affected population actually lives. Alternative livelihood opportunity surfaces, including solar and wind renewable potential, agro-processing zones, and skill cluster proximity, point to where new employment can realistically emerge. Pradhan Mantri Gram Sadak Yojana (PMGSY) road connectivity data shows access to employment centers outside the coal economy, while land reclamation suitability analysis identifies where post-mining solar park development, water reservoir creation, and agricultural restoration are viable.
This spatial evidence base supports state governments, NITI Aayog, and the Ministry of Coal in designing transition support packages that are geographically targeted to the communities most economically dependent on coal, rather than administratively applied to entire districts uniformly.
Explore Utilities and Natural Resources solutions for emissions tracking and climate action planning.
Challenges and the Road Ahead
MRV data quality for CCTS compliance
Under the CCTS, entities must submit verified GHG reports within 4 months of fiscal year close, covering gate-to-gate Scope 1 and 2 emissions with third-party verification by Bureau of Energy Efficiency (BEE) accredited agencies. Building the facility-level spatial data infrastructure that underpins reliable MRV, including georeferenced energy meter records, process flow boundaries, and emission factor calibration data, is an ongoing investment that many CCTS-obligated entities have only recently begun.
Sub-district emissions data gaps
India’s national GHG inventory is compiled at the national and state level. District and block-level emissions estimates require statistical disaggregation against spatially verified activity proxies, a methodology that introduces uncertainty at finer geographic scales. As facility-level GHG reporting under CCTS expands to cover 740+ entities, the spatial resolution of India’s emissions inventory will improve substantially, but the current gap between national-level inventory and operational district-level planning data remains significant.
Nature-based solution additionality verification
The CCTS voluntary offset market will create financial incentives for afforestation and mangrove restoration projects. Ensuring that satellite-based GIS verification of carbon sequestration is both accurate enough to underpin high-integrity credits and accessible enough for small-scale community-level projects is a methodological and governance challenge. FSI, ICFRE, and MoEFCC are working through this challenge as the voluntary market framework develops. India’s path to net zero by 2070 is a spatial problem as much as a technological one. Knowing where emissions are highest, where sinks are underperforming, and where decarbonization investments will deliver the greatest climate and social returns per rupee committed is the analytical foundation for credible, equitable climate action. A GIS platform, powered by Esri’s ArcGIS technology, makes that spatial intelligence available at the precision and scale that India’s net zero journey demands.
FAQs
1.What is India’s net zero target year?
India’s net zero target year is 2070, announced at COP26 in Glasgow in November 2021. India also committed to the 2030 Panchamrit goals, including 500 GW non-fossil energy capacity, 50% renewable energy, and a 45% reduction in emissions intensity from 2005 levels.
2.How does GIS help in carbon footprint mapping?
GIS spatially indexes emission sources and carbon sinks across sectors, producing spatial emissions inventories from facility-level energy data. Remote sensing tools process Sentinel-5P TROPOMI methane data to independently verify emissions and sequestration claims at any geographic scale.
3.What are the major sources of emissions in India?
India’s emissions come from energy, industry, AFOLU, and transport, with thermal power and industrial combustion being the largest sources. The CCTS now covers nine industrial sectors representing over 700 million tonnes of CO2e annually, creating the regulatory framework for industrial decarbonisation.
4.How is GIS used for monitoring forest carbon sinks?
GIS processes satellite imagery from Landsat, Sentinel-2, and Resourcesat to track forest cover, canopy density, and biomass change over time. The Forest Survey of India uses GIS-based satellite interpretation for the biennial ISFR, feeding into India’s national GHG inventory and CCTS carbon credit verification.
5.What is the Carbon Credit Trading Scheme (CCTS) in India?
CCTS is India’s mandatory carbon market launched under the Energy Conservation (Amendment) Act 2022, covering nine energy-intensive sectors representing over 700 million tonnes of CO2e. Obligated entities receive binding emission intensity targets, with overperformers earning Carbon Credit Certificates and underperformers required to purchase credits.
Written by
Esri India Marketing
