Forest Cover Change Data
Hansen forest loss data and similar — deforestation tracking intelligence.
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Find Me This Data →Overview
What Is Forest Cover Change Data?
Forest Cover Change Data, exemplified by the Hansen Global Forest Change dataset, provides a globally consistent, high-resolution record of forest dynamics from satellite imagery. The Hansen dataset offers 30-meter resolution monitoring of forest change from 2000 to 2024, serving as the definitive baseline for tracking deforestation and estimating forest carbon loss worldwide. This data type captures net changes in forest area—measuring forest expansion through afforestation and natural growth against deforestation losses—and underpins critical climate mitigation strategies, carbon accounting, and forest management intelligence. Organizations use forest cover change data to monitor drivers of deforestation, assess forest-based carbon sequestration potential, and comply with emerging environmental regulations like the EU Deforestation Regulation.
Market Data
30m resolution, 2000–2024 globally
Hansen GFC Dataset Coverage
Source: Earth Blox
8 GtCO₂ sequesterable by 2050 at $100/tCO₂
Forest-Based CO₂ Mitigation Potential
Source: npj Climate Action
215 countries analyzed for restoration potential
Global Forest Study Scope
Source: npj Climate Action
China 1.61M ha, Asia 1.22M ha, Europe 1.16M ha
Forest Expansion Leaders (2025)
Source: Our World in Data
Who Uses This Data
What AI models do with it.do with it.
Carbon Credit & Compliance Programs
Organizations quantify forest carbon sequestration and track forest-based CO₂ mitigation to meet climate targets and generate carbon credits under emerging regulatory frameworks.
Government & Conservation Agencies
Environmental ministries and conservation bodies monitor national forest loss drivers, assess afforestation progress, and enforce deforestation regulations like the EU Deforestation Regulation.
Forestry Companies & Timberland Investors
Timber operators, pulp & paper manufacturers, and institutional timberland owners use forest cover data for inventory management, sustainability reporting, and regulatory compliance in timber supply chains.
Climate & ESG Finance
Investors and financial institutions evaluate forest-based nature solutions, assess climate risk exposure, and track environmental performance metrics tied to corporate ESG disclosures and financial outcomes.
Pricing depends on the proposed terms
We do not have a verified, comparable price for your dataset. Consider the permitted uses, license term, exclusivity, provenance, coverage and quality. A seller asking price is a proposal, not an appraisal or guaranteed sale. Compare prices only when the source, date, currency, unit and license scope are known.
What Buyers Expect
What makes it valuable.valuable.
Global Consistency & High Resolution
Data must offer consistent methodology across all geographies with sufficient spatial resolution (30m or finer) to detect meaningful forest change and support landscape-level decision-making.
Long Time Series & Regular Updates
Historical coverage spanning multiple decades (preferably 2000 onward) with frequent refresh cycles enables trend analysis, carbon accounting validation, and near-real-time monitoring of deforestation hotspots.
Regulatory & Scientific Credibility
Datasets must be peer-reviewed, validated against ground truth, and accepted by government bodies and scientific institutions for use in compliance reporting, carbon credits, and policy enforcement.
Integration with Carbon & Risk Modeling
Forest cover data must integrate with carbon sequestration models, financial supply curves, and ESG reporting frameworks to support climate mitigation investment and corporate sustainability disclosure.
Accessibility & Usability
Data should be available in standard geospatial formats (GeoTIFF, shapefiles) with clear documentation, ideally via cloud platforms and APIs, to enable seamless integration into forestry software and analysis workflows.
Potential applications and organizations
Who's buying.buying.
Institutional timberland investor leveraging forestry ERP platforms and forest cover data for supply chain transparency and sustainability management.
Large-scale timberland operator integrating forest monitoring and regulatory compliance data into operations and ESG reporting.
National environmental ministries and conservation bodies monitoring forest loss drivers, enforcing deforestation regulations, and tracking afforestation progress.
Major manufacturers using forest inventory, harvesting logistics, and sustainability tracking data to optimize supply chains and meet carbon reduction targets.
Investment funds and asset managers assessing forest-based carbon mitigation projects, validating carbon supply curves, and underwriting nature-based solutions.
FAQ
Common questions.questions.
What is the Hansen Global Forest Change dataset and why is it important?
The Hansen Global Forest Change dataset provides a 30-meter resolution, globally consistent record of forest change from 2000 to 2024. It has become the definitive baseline for tracking deforestation worldwide and estimating forest carbon loss, underpinning climate mitigation strategies, carbon accounting, and regulatory compliance efforts.
Who are the main buyers of forest cover change data?
Primary buyers include government and conservation agencies monitoring forest loss and enforcement, forestry companies and timberland owners managing supply chains, pulp and paper manufacturers tracking sustainability, carbon credit programs quantifying mitigation potential, and climate finance institutions evaluating nature-based solutions for investment.
How is forest cover change data used in carbon markets and climate action?
Forest cover data enables organizations to quantify forest-based CO₂ sequestration potential, track progress toward carbon mitigation targets, generate carbon credits, and validate claims in ESG reporting. Studies show that at a carbon price of $100/tCO₂, forests globally could sequester approximately 8 GtCO₂ by 2050, informing investment decisions and carbon supply curve modeling.
What quality standards do buyers expect from forest cover datasets?
Buyers require globally consistent, high-resolution data (30m or finer) with long historical time series, frequent updates, peer-reviewed validation, integration with carbon models and ESG frameworks, and accessibility via standard geospatial formats and APIs. Data must be credible for regulatory compliance, scientific use, and financial decision-making.
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