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By Abby Achtenhagen When we think of wetlands, we often imagine open water, cattail marshes, or willow-lined streams. But in the Arapaho–Roosevelt National Forest, many wetlands are quieter, subtler, and hidden beneath dense conifer canopy. Mapping these ecologically important systems requires more than a single satellite image. It takes a carefully curated stack of geospatial data layers, each revealing a different part of the wetland story. Arapaho-Roosevelt National Fores

The barrier to using geospatial data has always been about the technical expertise required to collect, manage, and analyze the data. But now, the agentic era of computation means that we can bring the vast capacities of geospatial analysis to a broader audience than ever before. To that end, we are excited to announce the geeViz MCP server. Based on a geospatial scripting library In 2019, RedCastle Resources (RCR) developed geeViz: an open-source library designed to simpli

Building AI tools for federal land management data means the bar for trust is high, the people that will be using this chatbot need to know it will stay exactly within its intended scope, every time. By treating safety as an independent, structural layer rather than a matter of instructions and good faith, RedCastle Resources was able to deliver a conversational AI experience for the USFS that's both genuinely useful and built to hold up under real-world pressure.

At RedCastle Resources, our contributions to national mapping programs, developed in tandem with our partners in the USDA Forest Service, are at the forefront of augmenting landscape monitoring efforts and improving management outcomes across our public lands. As a Geospatial Data Scientist and Technical Team Lead who joined RedCastle in 2019, my work focuses on leveraging powerful, large-scale computational platforms to tackle complex environmental monitoring and land manage