Join us on August 6th for a deep dive webinar between Space Intelligence and Upstream Tech on the importance of high accuracy land cover data for carbon projects and conservation organizations.
Understanding land cover dynamics is critical for the conservation sector, carbon markets, and the private sector. Satellite imagery can be a helpful first window into habitat type and forest cover on the ground, but it’s hard to translate a picture into statistics and it’s not always easy to understand the exact mix of land cover types with the naked eye.
Enter satellite-derived data layers powered by machine learning to classify land cover type. High-quality land cover data enables conservation organizations to understand and quantify land cover and land use current conditions and change over time. Because land cover classifications and changes to habitat are often critical to tracking conservation and restoration success, it’s important those data sources are as accurate as possible.
Join Dr. Paula Nieto Quintano, Head of Science at Space Intelligence, and Eve Boyce-Ratliff, Director of Partnerships at Upstream Tech, to walk through how Space Intelligence produces high quality land cover data in hard-to-map landscapes like Kenya. Discover how Space Intelligence’s audit-grade nature mapping data, combined with Upstream Tech’s intuitive remote monitoring platform, Lens, empowers users to screen, assess, and report on projects with confidence.
Whether you’re a conservation professional, carbon project developer, or sustainability leader, this session will equip you with the knowledge and tools to make data-driven decisions and maximize your project’s impact with land cover data.
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