Satellite Image Processing Tools (SIPT)

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Authors: Lukas Heubach
Cited by: 0

Abstract

SIPT is a Python package that streamlines both the retrieval and processing of satellite imagery, making it an reliable tool for researchers, analysts, and developers working with geospatial data. Built on the robust RasterIO library, SIPT eliminates the need for an external GDAL installation, ensuring a lightweight and hassle-free setup. Designed with scalability and multiprocessing in mind, SIPT is optimized for mass processing of satellite data on CPU and GPU and simplifies the creation of time-series datasets - perfect for applications such as environmental monitoring, urban planning, agriculture, and climate analysis.A detailed documentation can be found here.

Fields of Study & Subjects

Computational Physics and Python Applications Satellite Image Processing and Photogrammetry Remote Sensing in Agriculture

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026