Impact Observatory

Washington, DC, United States


Impact Observatory is a mission-driven technology company bringing artificial intelligence (AI) algorithms and data to sustainability and environmental monitoring and risk analysis for governments, civil society, companies, and markets. Our goal is to empower decision-makers to be planetary superheroes, with the timely, actionable insights-on-demand they need. In partnership with Esri, we have produced the Esri 2020 Land Cover map. Built with the highest resolution publicly available satellite data from the European Space Agency, this AI-powered map provides unprecedented insight into the world’s landscapes by using a deep learning model to classify over 400,000 satellite images into ten discrete LULC classes. The unique machine learning approach used to create this global map will soon be available on-demand through ArcGIS Marketplace, supporting multiple use cases such as monitoring change in specific areas of interest, looking at long-term change and seasonal differences in land cover, effective land management, building sustainable supply chains, and the streamlining of monitoring, reporting and verification (MRV) processes. Based in Washington D.C. and Santa Fe, N.M., Impact Observatory’s machine learning (ML) and science teams blend capabilities ranging from data science, software engineering, ML, science communications, program management, and strategic planning to provide the science-based insights you need for your business, mission or impact goals.



- Machine learning and data processing algorithms - Various science datasets including carbon monitoring, biodiversity intactness index, - LULC and more - Dynamic World Global LULC time series map - Dynamic and localized metrics - Automated analytics and actionable delivery - Insights about where and how we should invest our conservation efforts - Scalable

Services Provided:

Business Case Development, Data Conversion/Migration, Data Model & Database Design, Hosting Services, Implementation, System Architecture and Design, System Integration