Raster Information Extraction System (RINX)

RINX (Raster INformation eXtraction) is a comprehensive solution designed for the automatic extraction of information from large raster datasets. RINX 1.0 leverages PostGIS within a high-performance compute cluster environment, while RINX 2.0 utilizes open-source technologies in a cloud computing environment (NERC). The open-source software is available on RINX’s GitHub for community access and contributions.

Use Cases/Publications: 

• Kakkar, D., Blossom, J., & Guan, W. (2022). RINX: A solution for information extraction from big raster datasets. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W1-2022, 245–250. https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-245-2022

• Jain, Devika; Blossom, Jeff; Hayes, Jack; Gibson, Heike; Rifas-Shimann, Sheryl; Gold, Diane,”RINX2.0: RINX 2.0: A Containerized Climate Raster Information Extraction System on OpenShift Cloud Environment”, Under Review, ISPRS 2025.

• Blossom J., Jain D., Hayes J., Gibson H., Rifas-Shimann S.,  Gold D.,RINX 2.0: A Containerized Climate Raster Information Extraction System on OpenShift Cloud Environment, CAGIS 2024.