IT and Cloud Solutions
Unlock the power of your spatial data with our custom-developed desktop or web applications, and our geospatial IT support services. We build secure, reliable, and innovative geospatial applications, and are skilled in using both commercial and open source tools and data. Applications are designed to meet your organization’s unique requirements and realize the full value of your geospatial assets. Our team can provide the foundation of your geospatial solutions, including data storage, databases, processing systems, application hosting and delivery, automation routines, and security policies and tools.
Our Expertise
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Application Development
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Web Development
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Database Management
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Migration to Cloud Computing
GeeViz
GeeViz is a free, open-source Python package designed for exploring and analyzing earth observation data on the Google Earth Engine (GEE) platform. GeeViz simplifies complex data processing, analysis, and visualization tasks with user-friendly functions, making it easier to work with GEE data. Prior to 2017, most of our GEE scripts were written in JavaScript. However, we realized that the Python API offered greater versatility, but there was no equivalent to the Code Editor to debug our outputs. To address this issue, we developed a viewer framework that evolved into geeViz, providing a powerful, accessible toolkit for anyone working with GEE.
Cloud-based Image Sharing
Storing, hosting, and sharing imagery and raster data can be costly. In a collaborative effort with multiple agencies we developed a cloud solution for storing and delivering petabytes of data seamlessly to users. This solution simultaneously reduced costs and provided a scalable solution that can dynamically accommodate up to 50,000 users while reducing hosting and overhead costs. These streaming services simplify access to imagery, improve experience, and allow users to more easily utilize the best data available to make more informed decisions.
Visualizing Continental Forest Characteristics
TreeMap, produced by the Fire Lab of the USFS Rocky Mountain Research Station, is a CONUS-wide map of forest biomass and carbon attributes. We were tasked to develop a visually appealing data explorer and produce new, annual layers of the dataset. We developed an interactive data viewer and download tool with standardized symbology and custom area summaries. The dataset is available in the Google Earth Engine Data Catalog, where it can be freely accessed and used in cloud computing workflows by anyone in the world. RedCastle Resources also re-vamped the production process from an unordered collection of scripts into a modular, version-controlled set of functions that follow software development best practices. The resulting dataset is used in carbon-monitoring and wildfire crisis strategy analyses.