DETERMINATION OF LAND COVER/LAND USE USING SPOT 7 DATA WITH SUPERVISED CLASSIFICATION METHODS

12 citations as recorded by crossref.

1. LAND USE AND LAND COVER CHANGES USING SPOT 5 PANSHARPEN IMAGES; A CASE STUDY IN AKDENIZ DISTRICT, MERSIN-TURKEY C. Göksel & F. Balçık https://doi.org/10.31127/tuje.444685
2. Enhancing Carbon Sequestration through Afforestation: Evaluating the Impact of Land Use and Cover Changes on Carbon Storage Dynamics M. Haseeb et al. https://doi.org/10.1007/s41748-024-00414-z
3. Multispectral and hyperspectral images based land use / land cover change prediction analysis: an extensive review M. Navin & L. Agilandeeswari https://doi.org/10.1007/s11042-020-09531-z
4. 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
5. Consistent Changes in Land-Use/Land-Cover in Semi-Arid Areas: Implications on Ecosystem Service Delivery and Adaptation in the Limpopo Basin, Botswana E. Mugari & H. Masundire https://doi.org/10.3390/land11112057
6. Mapping eucalypts trees using high resolution multispectral images: A study comparing WorldView 2 vs. SPOT 7 K. Abutaleb et al. https://doi.org/10.1016/j.ejrs.2020.09.001
7. Conventional and advanced geospatial techniques for landslide detection and modeling: a comprehensive overview M. Shafapourtehrany et al. https://doi.org/10.1186/s40677-025-00347-3
8. Multi-SOM-Based Multispectral Image Segmentation for LULC Classification and Change Detection S. Mukhopadhyay et al. https://doi.org/10.1007/s13369-026-11538-x
9. Groundwater potential identification in Temcha catchment, Upper Blue Nile Basin, Ethiopia T. Tiruneh et al. https://doi.org/10.1007/s40899-023-01001-2
10. Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods—A Case Study from Dak Nong, Vietnam H. Nguyen et al. https://doi.org/10.3390/rs12091367
11. Comparative analysis of land use and land cover classification using maximum likelihood technique on optical satellite data S. Mohammad Deros et al. https://doi.org/10.1088/1755-1315/1560/1/012032
12. Crop Phenology-Based Object-Oriented Classification Approach Using SENTINEL2A and NDVI Time Series: Sunflower Crops in Kırklareli TURKEY A. Karabulut et al. https://doi.org/10.30897/ijegeo.858456