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

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

We’re redesigning the notification system on the Orbify Platform to give users greater control over the types of notifications they receive from their workspaces. In addition, we’re introducing new notification types to ensure all workspace members stay informed about important updates. These include component refresh updates, change alerts, billing notifications, project annotations, comments, mentions, and more. Stay connected and up-to-date with ease!