HOW LANDSAT 9 IS SUPERIOR TO LANDSAT 8: COMPARATIVE ASSESSMENT OF LAND USE LAND COVER CLASSIFICATION AND LAND SURFACE TEMPERATURE

7 citations as recorded by crossref.

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2. Analysis of LST, NDVI, and UHI patterns for urban climate using Landsat-9 satellite data in Delhi B. Ahmad et al. https://doi.org/10.1016/j.jastp.2024.106359
3. Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery M. Buthelezi et al. https://doi.org/10.1080/14498596.2024.2378362
4. Assessing the impact of green spaces on the urban heat island effect V. Zariro et al. https://doi.org/10.1080/10106049.2025.2603724
5. Urban land cover characterization using PRISMA hyperspectral imagery and machine learning algorithms . Zohaib & S. Abbas https://doi.org/10.1007/s12518-026-00747-6
6. Comparing Sentinel-2 and Landsat 9 for land use and land cover mapping assessment in the north of Congo Republic: a case study in Sangha region L. Bill Donatien et al. https://doi.org/10.1080/01431161.2024.2394238
7. Assessing Urban Heat Island Intensity in Damascus City Using Google Earth Engine and Landsat 8 and 9: a Comparative Analysis M. Khalil & J. Kumar https://doi.org/10.1007/s41976-025-00202-x