COMPARISON OF LANDSAT-9 AND PRISMA SATELLITE DATA FOR LAND USE / LAND COVER CLASSIFICATION

7 citations as recorded by crossref.

1. A hybrid retrieval framework for vegetation biophysical and biochemical traits using PRISMA-like data S. Hasti & M. Maralan https://doi.org/10.1080/01431161.2026.2720315
2. Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications R. Shaik et al. https://doi.org/10.3390/rs15051378
3. Unlocking land cover classification potential: a comparative analysis of Pixxel TD-1 hyperspectral and Landsat-9 multispectral imagery F. Şimşek et al. https://doi.org/10.1080/01431161.2026.2631694
4. Urban land cover characterization using PRISMA hyperspectral imagery and machine learning algorithms . Zohaib & S. Abbas https://doi.org/10.1007/s12518-026-00747-6
5. Cross-sensor urban land-cover characterization using hyperspectral and multispectral satellite imagery S. Abbas et al. https://doi.org/10.3389/frsen.2026.1908768
6. Yeni nesil multispektral ve hiperspektral uydu görüntülerinin arazi örtüsü / arazi kullanımı sınıflandırma performanslarının karşılaştırılması: Sentinel-2 ve PRISMA Uydusu B. TIRMANOĞLU et al. https://doi.org/10.29128/geomatik.1126685
7. Semantic segmentation of hyperspectral data for identifying mineral alterations in the Kuhpanj porphyry copper deposit using an improved U-Net architecture P. Javandel et al. https://doi.org/10.1177/25726838261460116