A NEW THINKING OF LULC CLASSIFICATION ACCURACY ASSESSMENT

8 citations as recorded by crossref.

1. LULC classification of Tehri region using Landsat 7 & 8 satellite images A. Gunsola et al. https://doi.org/10.1016/j.procs.2025.03.279
2. Quantifying Uncertainty in Land-Use/Land-Cover Classification Accuracy: A Stochastic Simulation Approach K. Cheng et al. https://doi.org/10.3389/fenvs.2021.628214
3. Spatio-temporal growth of a traditional urban centre in Nigeria A. Mukhtar Olayiwola & W. Olorunwa Salau https://doi.org/10.1007/s41324-022-00491-0
4. Mapping local energy zones in China to support urban-scale energy-carbon research R. Wang et al. https://doi.org/10.1016/j.buildenv.2026.114653
5. Mangrove spatiotemporal changes in four areas with restoration projects in Southern Mozambique from 2009 to 2025 A. Munguambe et al. https://doi.org/10.1016/j.envc.2026.101669
6. Combining ENMAP Hyperspectral Imaging and Machine Learning for Land Use/Cover Classification E. Nikolaou-Alavanou et al. https://doi.org/10.1007/s41976-026-00271-6
7. Assessing Irrigation Potential in East Africa: A Critical Review of Multicriteria Analysis Using GIS and Land Suitability Assessment for Irrigation M. Derebe et al. https://doi.org/10.1061/JIDEDH.IRENG-10708
8. Urban Growth Process in Greater Accra Metropolitan Area: Characterization Using Fractal Analysis K. Bonsu & O. Bonin https://doi.org/10.1007/s41651-023-00149-x