Nature-related decisions in finance, policy and official statistics increasingly require credible, scalable and spatially explicit evidence. Yet translating Earth observation and in situ measurements into fit-for-purpose indicators remains difficult. This session connects remote sensing, ecology, environmental sciences, accounting, finance and decision-makers to examine indicator validity, uncertainty, spatial and temporal scale, methodological transparency, data provenance, and fitness for use.

We invite integrated contributions linking remote sensing or ecological methods to at least one concrete accounting, disclosure or market application. Topics include, but are not limited to, mapping and assessing ecosystem condition and services, biodiversity intactness, land use intensity, anthropogenic pressures, and water-related environmental indicators; combining Earth observation with field data and models; addressing baselines, uncertainty, scale and change; and ensuring data traceability, reproducibility, validation and auditability. Applications may include national environmental-economic accounts, including ecosystem accounts implemented under SEEA Ecosystem Accounting; TNFD-aligned reporting by companies and financial institutions; and monitoring, reporting and verification for biodiversity and nature-based carbon credits.

The session will bring together Earth observation, environmental and ecological scientist, nature accountants, policymakers, standards and assurance specialists, and financial practitioners to compare what indicator producers can robustly deliver with what users need for real decisions. We particularly welcome co-designed and operational case studies, including critical assessments of where indicators fail or are misapplied, rather than only new maps or algorithms.