PRISMA vs. Landsat 9 in lithological mapping − a K-fold Cross-Validation implementation with Random Forest

PRISMA vs. Landsat 9 in lithological mapping − a K-fold Cross-Validation implementation with Random Forest

The selection of an optimal dataset is crucial for successful remote sensing analysis. The PRISMA hyperspectral sensor (with 240 spectral bands) and Landsat OLI-2 (boasting high dynamic resolution) offer robust data for various remote sensing applications, anticipating their increased demand in the...

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Bibliographic Details
Main Authors: Ali Shebl, Dávid Abriha, Maher Dawoud, Mosaad Ali Hussein Ali, Árpád Csámer
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
PRISMA
Landsat 9
Random forest
Geological mapping
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982324000553

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http://www.sciencedirect.com/science/article/pii/S1110982324000553

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