“Over the years we’ve invested significantly in our field data team - focusing on producing trusted ratings. While this ensures the accuracy of our Ratings, it doesn’t allow the scale across the thousands of projects that buyers are considering.”
For more information on carbon credit procurement trends, read our "Key Takeaways for 2025" article. We share five, data-backed tips to improve your procurement strategy.
One more thing: Connect to Supply customers also get access to the rest of Sylvera's tools. That means you can easily see project ratings and evaluate an individual project's strengths, procure quality carbon credits, and even monitor project activity (particularly if you’ve invested at the pre-issuance stage.)
Book a free demo of Sylvera to see our platform's procurement and reporting features in action.
Why site selection is harder than it looks
The questions a site needs to answer before you commit span eligibility, baseline defensibility, physical risk, market positioning, and long-term monitoring viability.
Get all of those right, and you have the foundation for a bankable project with a credible path to premium pricing. Miss one, and you risk delays, a weak rating, or, in the worst cases, a project that issues credits it can never fully back.
The market has made site selection harder in recent years. Methodologies are more stringent. VVBs are more rigorous. Buyers and investors are asking sharper questions. And physical climate risks - drought, fire, flood - are intensifying.
The pains developers feel
No benchmark on market positioning. Developers often don't know how comparable projects in the same region, methodology, and geography are performing. Factors such as what rating they're achieving, what price they're generating, and what design decisions are driving those outcomes. Without that context, site selection is guesswork.
Eligibility uncertainty. Under VM0047 and other newer methodologies, eligibility rules are precise. Land that had meaningful deforestation in the previous ten years, or that was classified as forest, can be ineligible for crediting, even if it looks like degraded land today.
Sylvera analysis of a Brazilian ARR project found that roughly 10% of the project area had experienced deforestation in the decade before registration, making those plots ineligible under current methodology rules. For the developer in question, that wasn't caught until after credits had been issued.
Inflated baseline assumptions. Developers using manual field sampling or NDVI proxies to establish biomass baselines can overestimate carbon stock. The same Brazilian project claimed removals of 70.34 tCO2e/ha/year. Independent analysis using Biomass Atlas estimated 36.04 tCO2e/ha/year - overstatement was nearly 50%. For buyers, that means credits representing a fraction of their claimed climate impact. For the developer, it means a project built on a baseline that won't survive independent scrutiny.
Physical risk that isn't priced in. In 2024, 18% of forest carbon projects globally were affected by fire, the highest proportion on record. Nearly three-quarters experienced above-average drought conditions. The Brazil project referenced above suffered catastrophic reversal after a drought described as one of the worst in 40 years, causing carbon losses that exceeded its entire buffer pool. The site had been chosen without systematic climate risk modelling.
The opportunity when you get it right
Sites chosen with rigorous, data-backed analysis from the start produce dramatically different outcomes. They clear validation faster, produce baselines VVBs accept on first review, face fewer permanence challenges, and generate credits that hold their value in the market.
The quality-price relationship in carbon markets is real and widening. Sylvera market data shows a significant premium for higher-rated credits across ARR, REDD+, and IFM methodologies, with AAA-rated projects commanding meaningfully more per credit than BBB equivalents.
A site that supports a strong rating from inception is likely to be worth more per credit, every vintage, for the life of the project.
What a rigorous site selection process looks like
Step 1: Eligibility screening before committing. Before field visits, use historical biomass and canopy height data to confirm the site qualifies under your target methodology. For VM0047, that means verifying land cover history going back at least ten years. Wall-to-wall data at 30-metre resolution can do this for hundreds of candidate plots simultaneously, in days, not weeks.
Step 2: Baseline establishment with independent, field-calibrated data. Biomass estimates derived from allometric models or NDVI introduce systematic error of 15–30%. An independent, LiDAR-calibrated dataset covering the full project area (not a sample), gives you a baseline that is defensible at validation and consistent across verification cycles.
Step 3: Physical risk assessment. Map the site against fire history, drought frequency, flood exposure, pest and disease risk, and projected climate trajectories. Country Profiles with regional risk data show where these risks are most acute and which geographies are systematically under- or over-represented in buyer portfolios, which has pricing implications too.
Step 4: Comparable project benchmarking. What ratings are similar projects in the same methodology and geography achieving? What are buyers paying for them? What design decisions - monitoring approach, species selection, permanence structures - separate the high-performing projects from the average ones? Market Intelligence across 300,000+ transactions answers these questions with actual market data, not broker estimates.
Step 5: Documentation structured for verification from day one. Every output from site selection - eligibility determination, biomass baseline, control plot matching, risk assessment - should be traceable, reproducible, and structured to match the documentation requirements of your target methodology and registry. Auditable from the start means no scramble before your VVB review.
Getting it right: Two examples
A developer in West Africa is evaluating twelve potential ARR sites across three countries. Rather than committing field teams to all twelve, they use Biomass Atlas to screen all sites simultaneously - checking eligibility under VM0047 criteria, comparing baseline carbon stock, and mapping drought and fire exposure across each location.
Within a week, four sites are disqualified on eligibility grounds, three are flagged as high physical risk, and two emerge as clearly strongest. Field visits focus there. The resulting inception package - built on actual biomass data, traceable to LiDAR calibration - clears VVB validation at first submission.
A developer in Latin America uses Country Profiles and Market Intelligence before committing to a jurisdiction. They discover that comparable REDD+ projects in their shortlisted country have been underperforming on ratings - driven by land tenure risk factors that aren't immediately visible from the site itself.
They redirect to a second jurisdiction with stronger tenure protections, lower fire exposure, and a track record of higher ratings for equivalent project types. At issuance, their credits achieve a premium price consistent with the comparable projects in the data.
How Sylvera helps
Biomass Atlas provides wall-to-wall, LiDAR-calibrated biomass and canopy height data from 2000 to present, at 30-metre resolution — covering eligibility screening, baseline establishment, control plot matching, and ongoing monitoring. The same dataset that underpins your site selection is consistent through every subsequent verification event.
Country Profiles within Market Intelligence give developers a structured view of regulatory environment, political risk, land tenure, physical climate risk, and comparable project performance by geography — turning jurisdiction selection from a judgement call into a data-backed decision.
Market Intelligence shows what comparable projects in your methodology, geography, and project type are achieving in terms of ratings and pricing — so site selection decisions are benchmarked against what the market is actually rewarding.
Pre-Issuance Assessments give you an independent read on your project's likely quality rating before you commit — including the specific site and design factors that would improve or reduce it. Getting that signal early is the difference between fixing problems and living with them.
Want to understand how your shortlisted sites stack up? Discuss your project with us here.
