Impact Observatory, an AI-powered global mapping and monitoring company, announced the general availability of IO Monitor to provide real-time, actionable land use data for insights and decisions. IO Monitor provides unprecedented insights into the current state and dynamics of the Earth’s surface. The map delivers unique value by offering 14 seasonal and annual classes, in custom, on-demand maps at 10m resolution.
IO Monitor is a valuable resource for governments, land use and environmental planners, and climate and risk organizations who need to understand the changing planet and its implications for human and natural systems. These maps can support urban planning, biodiversity conservation, disaster management, food security, water resource management, carbon accounting, and climate change adaptation and mitigation.
“Every day, cities grow, new crops are planted, forests are harvested, and floods, droughts, and wildfires continue to increase. This greatly impacts the infrastructure, food systems, water supplies, and natural resources that the world depends on,” said Steve Brumby, Co-founder and CEO of Impact Observatory. “With IO Monitor, we are able to support urban planning, disaster management, food security, water resource management, carbon accounting, conservation, and climate change adaptation and mitigation. With these new “living” maps, Impact Observatory is able to democratize a technology that was previously only available to a few, by providing the fastest, most accurate and least expensive space-based mapping and monitoring solution on the market today.”
IO Monitor maps are updated with the latest satellite imagery available, allowing users to monitor changes in land use and land cover (LULC) in near-real-time. With 14 classes, customers can identify dense forest and open woodlands, wet and dry areas, riparian areas, and vegetation health by season. The map also shows both current water levels and persistent water channels that may be dry at certain times of the year. Users can also order historical data from 2017 to the present, enabling analysis of trends and patterns in land use over time.
