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Dalton Boggs
Lucenia Team
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Understanding Spatial Reprojection in Lucenia

· 4 min read
Dalton Boggs
Lucenia Team

A Seamless Solution for GIS Developers

Lucenia's integration of spatial reprojection represents a game-changer for GIS workflows. Lucenia eliminates the need for multiple systems or labor-intensive preprocessing by dynamically transforming spatial data during ingestion and searches. This streamlined approach saves time, ensures data accuracy, and simplifies complex workflows. Whether managing datasets for precision agriculture, urban planning, or environmental monitoring, Lucenia delivers a unified, efficient, and robust solution tailored for modern geospatial applications.

Python + Lucenia in Four Easy Steps: Search and Analytics of Hurricane Helene

· 4 min read
Dalton Boggs
Lucenia Team

In the aftermath of Hurricane Helene, one of the most critical tasks for first responders was determining which buildings needed immediate attention. With some homes and businesses being swept away completely by rivers that rose dozens of feet in a matter of hours, having property data available in a searchable format could significantly speed up identifying areas of concern. By using Lucenia as an efficient search platform, responders can cross-reference flood zone information with property data, helping to locate at-risk buildings more quickly. This streamlined access to information enables more efficient decision-making, saving precious time and potentially lives during disaster relief efforts.

Lucenia + STAC: Navigating Massive Spatial Data

· 6 min read
Dalton Boggs
Lucenia Team

SpatioTemporal Asset Catalog (STAC) is an extension and improvement on Open Geospatial Consortium's Catalog Service for the Web, another standard for organizing and cataloging geospatial data. It provides a consistent and flexible way to index, search, and retrieve various spatiotemporal assets, such as satellite imagery, aerial photographs, and other geospatial datasets. STAC defines a structure for metadata, making it possible to describe a wide variety of geospatial resources in a standardized way. This metadata typically includes information about the location, time, and properties of each asset, as well as the means to access and process the data. Using STAC can help disparate geo systems talk to each other without a ton of overhead.