URBAN LAND COVER/USE CHANGE DETECTION USING HIGH RESOLUTION SPOT 5 AND SPOT 6 IMAGES AND URBAN ATLAS NOMENCLATURE

10 citations as recorded by crossref.

1. A 1.5 m resolution land cover map of Southern China created with Superpixel U-Net X. Hu et al. https://doi.org/10.1038/s41597-025-06373-y
2. City Boundaries—Utilizing Fuzzy Set Theory for the Identification and Localization of the Urban–Rural Transition Zone A. Biłozor et al. https://doi.org/10.3390/su16219490
3. Efficiency analysis of solar farms by UAV-based thermal monitoring S. Akay et al. https://doi.org/10.1016/j.jestch.2024.101688
4. Hierarchical classification of land use types using multiple vegetation indices to measure the effects of urbanization S. Shishir & S. Tsuyuzaki https://doi.org/10.1007/s10661-018-6714-3
5. An Analysis of Urbanisation Dynamics with the Use of the Fuzzy Set Theory—A Case Study of the City of Olsztyn A. Biłozor et al. https://doi.org/10.3390/rs12111784
6. Land-Use Change Dynamics in Areas Subjected to Direct Urbanization Pressure: A Case Study of the City of Olsztyn A. Biłozor et al. https://doi.org/10.3390/su16072923
7. Analyzing land use changes with urban atlas data to understand urbanization’s impact on rural settlements in Isparta, Türkiye Ç. Aydemir & S. Örücü https://doi.org/10.1007/s10668-025-06958-y
8. Unravelling the Frontiers of Urban Growth: Spatio-Temporal Dynamics of Land-Use Change and Urban Expansion in Greater Accra Metropolitan Area, Ghana J. Akubia & A. Bruns https://doi.org/10.3390/land8090131
9. Exploring Land Use/Land Cover Dynamics and Statistical Assessment of Various Indicators S. Akay https://doi.org/10.3390/app14062434
10. Automatic Detection of Spatiotemporal Urban Expansion Patterns by Fusing OSM and Landsat Data in Kathmandu N. Khanal et al. https://doi.org/10.3390/rs11192296