New Zealand farmers need certainty in ETS forestry carbon credits says Dragonfly Data Science
thepost.co.nzA new article from The Press covers how Dragonfly Data Science is using satellite imagery and AI to help New Zealand farmers make informed decisions about registering forests in the Emissions Trading Scheme. The consultancy worked with NASA to map every tree in New Zealand and showcased the tech at Fieldays. Farmers face complex tradeoffs between traditional farming and forestry, including 30-to-50-year commitments, carbon credit liabilities, and recent restrictions on converting farmland. The piece highlights that 744,000 hectares of forestry are already registered in the ETS across 4,568 participants. Dr Finlay Thompson argues that better measurement tools reduce guesswork for landowners, especially on Class 7 and Class 8 land that is poorly suited to grazing. Accurate carbon accounting is critical because small mapping errors can lead to overclaimed credits and financial penalties. For carbon market watchers, this is a practical example of how remote sensing and data science are being deployed to improve trust and transparency in nature-based carbon credits. The article is relevant for anyone tracking the intersection of agri-land use, carbon policy, and monitoring technology in New Zealand.
