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Meta, the World Resources Institute (WRI), and Land & Carbon Lab have introduced a game-changing tool for environmental monitoring: the first-ever global map of tree canopy height at a 1-meter resolution.

This cutting-edge AI-powered map can detect individual trees worldwide, addressing longstanding gaps in the forest carbon credit market. It is also a leap forward in environmental science, offering unprecedented insights into tree distribution, canopy height, and forest health.

Unparalleled Precision: 50 Million Sq. Km Mapped at 1-Meter Resolution

The innovative map leverages artificial intelligence to analyze more than a trillion pixels from 18 million satellite images. The result is a highly accurate global dataset with a mean absolute error of just 2.8 meters. Such precision is critical for monitoring and verification purposes, especially in areas where accurate data has historically been challenging to obtain. 

According to Meta, the model establishes a global baseline for tree canopy height, enabling improved understanding and management of forest ecosystems. 

The dataset reveals that approximately one-third of Earth’s landmass—about 50 million square kilometers—has a canopy height above 1 meter. By providing such granular data, this tool offers invaluable insights into the state of global forests, facilitating more targeted and effective conservation efforts.

A notable feature of the initiative is its commitment to open access. The data and models are freely available on platforms such as AWS, Google Earth Engine, and GitHub. Thus, it is accessible to researchers, policymakers, and businesses worldwide. This approach encourages innovation across various fields, from carbon credit verification to environmental conservation.

Meta emphasized the significance of democratizing AI technology, stating:

“Democratizing access to artificial intelligence can be an important tool in unlocking finance for and increasing transparency in mitigating and adapting to climate change.”

Land & Carbon Lab, convened by WRI and the Bezos Earth Fund, is a leading organization dedicated to monitoring and analyzing global land and carbon dynamics. Their Global Tree Canopy Height dataset provides high-resolution, globally consistent measurements of tree heights, offering critical insights into forest structure and carbon storage.

The company delivers accurate and up-to-date information by leveraging advanced satellite imagery and machine learning techniques. Their work enhances our understanding of Earth’s ecosystems and informs strategies to protect and restore vital natural resources.

Laconic and Planet Labs made a similar effort. They partnered for a monitoring system that aims to improve the accuracy of forest carbon projects.

Revolutionizing Forest Carbon Markets

One of the map’s most significant applications is its potential to transform carbon markets

Forests play a critical role in carbon sequestration, but accurately monitoring and verifying forest carbon credits has been a persistent challenge. High-resolution data provided by this map enhances the ability to track tree growth, particularly in sparse or small-scale forests.

Providing detailed data on tree distribution and canopy height helps identify areas that require immediate attention or are best suited for reforestation. This level of detail is particularly valuable for managing degraded lands, where precision is crucial for effective restoration.

This improved tracking capability ensures greater transparency and accountability in carbon markets. Meta highlighted this point, noting that: 

“forest-based carbon removal and the use of technology to better monitor, report, and verify carbon sequestration are essential components of Meta’s carbon removal strategy.”

By addressing these challenges, the map strengthens the integrity of carbon markets and supports global efforts to combat climate change. It also facilitates the creation of actionable strategies for carbon removal and forest restoration, ensuring that investments in these areas yield measurable results.

Meta has been investing heavily in carbon removal initiatives, including nature-based carbon projects. Carbon removal is a key part of its strategy to reduce carbon emissions.

carbon removal projects backed by Meta

Advanced AI at Work

The technological backbone of the map is an AI model called DiNOv2, which employs Self-Supervised Learning (SSL) to process vast amounts of unlabeled satellite imagery. SSL enables the model to learn patterns and features in data without requiring manual labeling, making it highly scalable and robust.

DiNOv2’s capabilities extend beyond canopy height mapping. It can also support applications like tree detection and segmentation, providing even more tools for researchers and conservationists. 

Moreover, the open-access nature of the model enables stakeholders from diverse fields to leverage the dataset for various applications, from scientific research to practical conservation initiatives.

By leveraging this advanced AI technology, Meta and its partners have created a tool that is not only highly accurate but also adaptable to various environmental challenges.

You can explore the tool via Google Earth Engine here.

A Transformative Step for Carbon Market Integrity

Carbon markets are increasingly recognized as a vital tool for addressing climate change. However, their success depends on accurate monitoring and verification of carbon sequestration efforts. 

The market has been under intense scrutiny because of various nature-based carbon removal projects suspected and accused of dubious impact. This resulted in decreasing trust and confidence in the market. 

The high-resolution tree canopy map addresses this need by providing reliable data that enhances transparency and accountability. By enabling precise monitoring of tree growth and forest health, the map helps verify that carbon removal projects are delivering on their promises. This, in turn, builds trust among market players and encourages greater investment in forest-based carbon removal initiatives.

Meta, WRI, and Land & Carbon Lab have not only created a powerful tool but also set an example of how technology, collaboration, and accessibility can drive meaningful change in addressing the world’s most pressing environmental challenges.

The post Meta and WRI Unveiled AI-Powered Global Tree Canopy Map appeared first on Carbon Credits.

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Want a simpler way to buy carbon credits? Discover our carbon marketplace

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Most businesses that decide to act on their net-zero targets reach the same point of friction. Buying carbon credits has meant tracking down brokers, sitting through sales calls, and requesting a quote just to learn a price, sometimes with limited proof of what you are buying.

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Carbon Footprint

Climate-Linked Supply Chain Risk Is Already in Your P&L

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The earnings calls that quietly reframed climate from sustainability question to operating risk.

Three earnings calls in the last 18 months tell the story without any help from a press release.

Hershey, May 2024: cocoa price exposure compresses margin, and the company attributes part of the cost shock to West African weather. Olam, July 2024: coffee climate exposure quantified in the annual report. JBS, January 2025: supply chain climate disclosures expanded materially in response to investor pressure and regulatory expectation. None of these companies issued the announcement as climate news. They issued it as financial news. The climate-linked supply chain risk did not arrive with a sustainability framing; it arrived as a P&L line.

You are probably reading this article because you suspect the same thing is happening to your business. This piece walks through what is showing up on which earnings calls, how procurement and finance leaders are quantifying the exposure, and what serious corporates are doing about it before the regulator asks.

Where climate risk has already appeared in earnings

The pattern is consistent across resource-intensive sectors. A weather event compresses supply, the price spikes, the cost flows through the income statement, and the analyst on the call asks whether the event is anomalous or structural. Increasingly, the honest answer is the second one.

Cocoa is the cleanest example. The 2023 to 2024 West African harvest fell sharply on the back of erratic rainfall and disease. Cocoa futures more than tripled. Companies with concentrated West African sourcing absorbed the cost; companies with diversified sourcing absorbed less. The exposure was not climate as ESG topic. It was climate as cost of goods.

Coffee follows the same pattern. Brazilian and Vietnamese harvests have moved on weather more sharply across the last several seasons. Roasters with long-tenor supplier relationships and origin diversification have managed the volatility; roasters with spot-market exposure have not. Wheat, sugar, palm oil, beef: the same dynamic in different commodities, a pattern the IPCC AR6 Working Group II report projects will intensify across agricultural systems through mid-century.

What this means: climate risk is no longer a footnote in the 10-K. It is a line item the CFO has to explain on the call.

The three commodity exposures that hit margin first

For most companies with material Scope 3 exposure, three exposures dominate the near-term P&L risk.

  • Concentrated single-origin sourcing in a climate-vulnerable region. If your tier-one supply for any material commodity sits in one geography, you have a concentration risk that climate amplifies. Diversification across origins is the obvious hedge, but it takes years to build and requires relationships you cannot acquire by tender.
  • Supplier financial fragility under climate stress. Smallholder farmers, who supply a large share of the global cocoa, coffee, and palm oil market, do not carry the balance sheets to absorb yield shocks. When yields collapse, they exit. When they exit, your supply base shrinks, and the surviving suppliers raise prices. The risk is structural, not cyclical.
  • Logistics and storage exposure to extreme weather. Hurricane disruptions to Gulf shipping, drought-driven Panama Canal restrictions, flooding in European inland waterways: each of these has moved input costs in the last three years, a pattern documented in Munich Re’s natural catastrophe data. The exposure shows up as a one-quarter event in the financial press but accumulates over time on the cost line.

TCFD and ISSB disclosure changes

The disclosure architecture has now caught up with the risk. The Task Force on Climate-related Financial Disclosures, whose recommendations are now embedded in the ISSB’s IFRS S2 climate standard, requires companies to disclose climate-related risks across physical and transition categories, with quantification where possible.

For physical risk specifically (the climate-linked supply chain risk you are reading about), the disclosure must address both acute exposures (extreme weather events) and chronic exposures (gradual changes in temperature, precipitation, and growing seasons). The disclosure must address the time horizon over which the risk is material, the parts of the value chain exposed, and the financial impact under different scenarios.

The CSRD imposes similar requirements under European law, with double materiality (both financial and impact materiality) embedded in the assessment. The practical effect: your auditors and your investor relations team now need a defensible answer to the climate-linked supply chain risk question, and the answer needs to be quantified.

What procurement and finance can do now

Three actions matter near-term.

Map your exposure. Most companies do not have a clear view of which tier-one and tier-two suppliers sit in which climate-vulnerable geographies. Without the map, you cannot quantify the risk, and without the quantification, you cannot disclose it credibly. The map is the foundation, and World Resources Institute climate risk research provides useful public tooling to start.

Diversify and deepen, in that order. Diversification across origins reduces concentration risk, but the deeper move is to invest in the resilience of the suppliers you already have. Regenerative practices, agroforestry, soil health interventions: these reduce yield volatility under climate stress and protect your input cost trajectory.

Embed the climate spend inside procurement, not outside it. Treating climate risk as a sustainability cost line subordinates it to the ESG budget. Treating it as a procurement and resilience investment puts it in the budget that matters, which is the cost-of-goods budget that the CFO defends quarterly.

Nature-based supply chain investments are the asset class designed for exactly this purpose. They sit inside the value chain, they reduce climate-linked supply risk, they generate verifiable Scope 3 reductions, and they produce the documentation an auditor and a regulator can both test.

If you are quantifying climate-linked supply chain risk in advance of the next earnings cycle or the next disclosure period, the carbon and sustainability experts at Carbon Credit Capital can help you map your exposure and structure a Dual-Value Model response that addresses reduction, resilience, and disclosure-readiness in a single program. Schedule a consultation.

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Carbon Footprint

Where should an SME start with a carbon action plan?

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More and more small and medium-sized businesses are hearing the same question from their larger customers: What is your carbon footprint? That question now travels down entire supply chains, and it arrives next to tender requirements, certification criteria, and rising customer expectations.

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