Guides

How to choose a biodiversity and land analytics tool

Free species and forest databases answer different questions than paid carbon credit rating platforms — know which one you actually need before you start.

This category holds two genuinely different markets that share a shelf. One side is free, open data infrastructure — species-occurrence records and satellite forest monitoring built by nonprofits, universities and citizen scientists, funded by grants rather than customers. The other is commercial: paid lab testing and satellite-based analytics sold to companies that need to prove something, usually about a carbon credit or a regulatory disclosure. Knowing which side you need is the first and most important decision, because the two do not compete with each other and a guide that treated them as interchangeable would mislead you.

Are you measuring species, or rating carbon credits?

This distinction matters enough that the vendors themselves are explicit about it. Pachama and Sylvera both use satellite imagery, LiDAR and machine learning — but they evaluate the quality and carbon impact of forest-based carbon credits, not biodiversity itself. Forest condition is sometimes a loose proxy their platforms report alongside carbon data, but neither runs a field ecological survey or claims to measure species presence. If your actual need is "how healthy is the biodiversity on this land," a carbon-rating platform is the wrong tool even though it satellite-monitors forests; if your need is "should we buy this carbon credit," it is exactly the right one.

Free occurrence data vs. paid lab-verified data

  • eBird and GBIF are free, open data platforms built on species-occurrence records — eBird specifically for birds, crowd-sourced by birders and reviewed by volunteers and machine-learning filters; GBIF aggregating over two billion records across all taxa from museums, surveys and citizen-science platforms including eBird itself. Both are free with no registration required for basic use, funded respectively by Cornell and participating national governments.
  • NatureMetrics is the opposite model: you collect a physical water, soil or air sample, ship it to a lab for eDNA sequencing, and get back which species were actually detected in that specific location. It is priced per sample or project, not as a subscription, because laboratory processing is the real cost driver. Use it when you need a verified biodiversity baseline for a specific site — an environmental impact assessment, a TNFD disclosure, a restoration project's before/after comparison — not when a broad, already-collected dataset would answer the question.

Free satellite forest monitoring

Global Forest Watch and Restor both turn satellite imagery into free, public forest and land-use data, and both are funded by philanthropic and institutional backers rather than user fees. They serve different purposes: Global Forest Watch is built for monitoring — near-real-time deforestation and fire alerts, tree cover change since 2000, subscribable areas of interest — aimed at governments, NGOs, journalists and companies tracking supply-chain risk. Restor is built for discovery and connection — a public map where restoration and conservation projects register themselves with satellite-derived ecological context, aimed at helping funders and researchers find and compare projects. If you are tracking whether deforestation is happening in a supply chain region, start with Global Forest Watch; if you are looking for restoration projects to fund or benchmark, start with Restor.

Who actually uses each one

  • Researchers, ecologists and land managers needing continuously updated species data: eBird for birds specifically, GBIF for broad taxonomic coverage with a citable DOI per download.
  • NGOs, governments and companies monitoring deforestation or land-use change without their own remote sensing team: Global Forest Watch.
  • Restoration practitioners and the funders evaluating them: Restor.
  • Infrastructure, mining, agriculture and conservation projects needing a lab-verified biodiversity baseline for disclosure or impact assessment: NatureMetrics.
  • Corporate carbon credit buyers and financial institutions needing independent quality ratings before a purchase: Sylvera for ratings specifically, or Pachama if you also want a marketplace to browse and buy through.

What pricing looks like

Nothing in the free-data half of this category has a price to compare — eBird, GBIF, Global Forest Watch and Restor are all free with no tiers. On the commercial side, NatureMetrics prices per sample or project rather than as a software subscription, and Pachama and Sylvera are both sold through direct arrangement with no published price list; expect a sales conversation scaled to portfolio size or sampling scope in both cases.

Questions to ask vendors

  1. For a carbon-rating or monitoring platform: does this tool measure biodiversity directly, or does it measure forest carbon and treat biodiversity as a secondary signal?
  2. For NatureMetrics or any lab-based service: what is the turnaround time from sample collection to results, and does pricing scale by number of samples, species panel, or both?
  3. For Global Forest Watch or Restor: what satellite resolution and alert latency applies to your specific region — global averages can hide regional gaps?
  4. Does the data or rating carry a citable identifier suitable for a scientific paper, a disclosure filing, or an audit trail?
  5. If you need historical trend data, how far back does the record go, and is that consistent across the area you care about?

Common mistakes

The most common mistake is citing a carbon credit rating as evidence of biodiversity outcomes — Pachama's and Sylvera's own materials are careful to separate the two, and a reader should be too. The second is treating GBIF or eBird records as uniformly precise; record quality, verification level and date vary by source, and GBIF flags this per record for a reason — check it before relying on a single occurrence to support a conclusion. The third is commissioning expensive eDNA sampling when an existing free dataset from GBIF or a regional monitoring program would already answer the question; lab-verified data earns its cost when you need site-specific, current, defensible results, not as a default first step.

For head-to-head detail, see Global Forest Watch vs Restor and Pachama vs Sylvera, or browse every tool in this category.

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