Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/gi-14-183-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-14-183-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Research article
 | 
28 Aug 2025
Research article |  | 28 Aug 2025

Introducing a learning tool (QSVI): A QGIS plugin for computing vegetation, chlorophyll, and thermal indices with remote sensing images

Nuray Baş

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Short summary
The Quantum Geographic Information System (QGIS) Sentinel Vegetation Indices (QSVI) plugin is an efficient, user-friendly tool designed to calculate key environmental remote sensing indices. Developed using a Python library within the QGIS software, QSVI significantly reduces computation time, exceeding other popular GIS applications. This study demonstrates its effectiveness in processing large datasets, offering a cost-effective solution for environmental monitoring and analysis, which is particularly valuable in educational settings.
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