#  Raster Information Extraction System (RINX) 

 



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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](https://github.com/cga-harvard/RINX-Raster_INformation_eXtraction_System) for community access and contributions.

**Use Cases/Publications:**

- Kakkar, D., Blossom, J., &amp; 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. <a>https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-245-2022</a>
- 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](https://docs.google.com/document/d/1SRtYFqEjcchegSaHS0LivFyCF6vU4p8V/edit?usp=sharing&ouid=102723675857972325788&rtpof=true&sd=true)”, 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](https://docs.google.com/presentation/d/1MaDnZ0r7u5v8xtQJCNb2eKcs6lEZGAVH/edit#slide=id.p1), CAGIS 2024.



 



 

 See also:- [ Basic ](/page-type/basic)