prismatools: An open-source Python package for accessing and analyzing PRISMA hyperspectral data

Hyperspectral remote sensing captures hundreds of contiguous, narrow spectral bands in the VNIR and SWIR ranges, enabling detailed analysis of vegetation, water quality, soil properties, and other environmental variables. prismatools is an open-source Python package that facilitates processing, visualization, and analysis of PRISMA Level 2 products. It converts VNIR, SWIR and panchromatic PRISMA data into georeferenced xarray datasets, supporting seamless integration into workflows with other popular Python packages. The package also provides interactive mapping and spectral exploration leveraging the capabilities of the popular package Leafmap, along with methods for computing vegetation indices, performing PCA, extracting spectral signatures and exporting processed images.

Authors

Publication Details

Journal
SoftwareX
Published
2026-02-11
DOI
https://doi.org/10.1016/j.softx.2026.102547
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
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article

prismatools: An open-source Python package for accessing and analyzing PRISMA hyperspectral data

Lorenzo Crecco, Sofia Bajocco
SoftwareX
Remote Sensing in Agriculture
article

prismatools: An open-source Python package for accessing and analyzing PRISMA hyperspectral data

Lorenzo Crecco, Sofia Bajocco
article en

Abstract

Hyperspectral remote sensing captures hundreds of contiguous, narrow spectral bands in the VNIR and SWIR ranges, enabling detailed analysis of vegetation, water quality, soil properties, and other environmental variables. prismatools is an open-source Python package that facilitates processing, visualization, and analysis of PRISMA Level 2 products. It converts VNIR, SWIR and panchromatic PRISMA data into georeferenced xarray datasets, supporting seamless integration into workflows with other popular Python packages. The package also provides interactive mapping and spectral exploration leveraging the capabilities of the popular package Leafmap, along with methods for computing vegetation indices, performing PCA, extracting spectral signatures and exporting processed images.

SoftwareXVol. 34
Openalex Percentile: Top 63%
Remote Sensing in Agriculture
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