AGB model V1.0 - delivers global-scale predictions of aboveground biomass from 2013 to 2023. The model combines data from Landsat 8 and 9, ALOS PALSAR yearly mosaics (v2.0), SRTM slope and aspect and the GEDI AGB dataset to train a classifier for aboveground biomass estimation. Key aspects of the model: - Ecoregion-specific classifiers - to account for the diverse conditions, e.g. tree species - within different ecoregions, a separate classifier is trained for each region - Historical analysis - the model allows for annual AGB predictions over a 10-year period, providing valuable insights into biomass trends and forest carbon dynamics This powerful tool will offer precise, data-driven biomass assessments for better forest management, conservation efforts and climate impact studies.

Series of small improvements to how project summaries are displayed

We are developing a proprietary machine learning model designed to analyse forest cover changes and land use transitions over time. By integrating advanced ML techniques with data from GEDI, Sentinel-1, Sentinel-2 and PALSAR, this model delivers highly accurate assessments of forest and non-forest areas at medium spatial resolution (10m). Key features include: - Time series analysis - the model allows for monitoring and over time change analysis, offering valuable insights into deforestation, reforestation and land-use transitions - Precision in Forest classification - the model enhances accuracy in distinguishing between forest and non-forest regions, empowering users with reliable data for project planning, reporting and sustainability efforts

Enhancing report management with Project Portfolios: group reports based on supplier, location, project, or custom criteria, making organisation and bulk actions easier and more intuitive. Portfolios also feature portfolio-level statistics, giving users valuable insights across grouped reports.

An alerting system for detecting deforestation activities in compliance with the European Union Deforestation Regulation (EUDR). This system will provide automatic notifications to stakeholders when deforestation events are detected, ensuring timely responses to environmental changes. - Real-time monitoring - the system will continuously monitor land use and forest cover, utilising advanced data analytics and satellite imagery to identify deforestation activities promptly - Automatic notifications - stakeholders will receive instant alerts when deforestation is detected, enabling proactive measures to address and mitigate environmental impacts - Compliance support - by facilitating timely awareness of deforestation events, the system supports compliance with EUDR requirements and fosters sustainable land management practices