Sentinel-2 and PRISMA satellite data for urban land classification in Tuscany region (TUS:CAN PROJECT)

Riccardo Salvini; Andrea Garzelli; Andrea Rindinella; Luisa Beltramone; Claudio Vanneschi; Ilaria Tabarrani; Luigi D'Amato; Laura Candela

doi:10.1117/12.3030965

13 November 2024 Sentinel-2 and PRISMA satellite data for urban land classification in Tuscany region (TUS:CAN PROJECT)

Riccardo Salvini, Andrea Garzelli, Andrea Rindinella, Luisa Beltramone, Claudio Vanneschi, Ilaria Tabarrani, Luigi D'Amato, Laura Candela

Author Affiliations +

Proceedings Volume 13197, Earth Resources and Environmental Remote Sensing/GIS Applications XV; 1319711 (2024) https://doi.org/10.1117/12.3030965
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Abstract

The TUS:CAN project, part of the ASI program "Innovation for Downstream Preparation - Public Administrations," focuses on sustainable urban planning through the classification of man-made materials using multispectral and hyperspectral satellite data. The project aims at mapping the land cover of natural and artificial materials in urban and suburban areas using 10m-hypersharpened Sentinel-2 data with a Random Forest classifier. PRISMA hyperspectral data further categorize artificial materials, with ground truth spectral signatures collected for accuracy. The classification accuracy is finally validated using aerial hyperspectral data from Itres CASI-1500 and SASI-600 sensors.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Riccardo Salvini, Andrea Garzelli, Andrea Rindinella, Luisa Beltramone, Claudio Vanneschi, Ilaria Tabarrani, Luigi D'Amato, and Laura Candela "Sentinel-2 and PRISMA satellite data for urban land classification in Tuscany region (TUS:CAN PROJECT)", Proc. SPIE 13197, Earth Resources and Environmental Remote Sensing/GIS Applications XV, 1319711 (13 November 2024); https://doi.org/10.1117/12.3030965

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