BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE

14 citations as recorded by crossref.

1. Intelligent mapping of irrigated areas from Landsat 8 images using transfer learning Z. BENBAHRIA et al. https://doi.org/10.26833/ijeg.681312
2. A New Application of Random Forest Algorithm to Estimate Coverage of Moss-Dominated Biological Soil Crusts in Semi-Arid Mu Us Sandy Land, China X. Chen et al. https://doi.org/10.3390/rs11111286
3. Evaluation of the Potential of Convolutional Neural Networks and Random Forests for Multi-Class Segmentation of Sentinel-2 Imagery V. Syrris et al. https://doi.org/10.3390/rs11080907
4. Open source R for applying machine learning to RPAS remote sensing images M. Piragnolo et al. https://doi.org/10.1186/s40965-017-0033-4
5. Land cover object change monitoring and environmental suitability confirmation in Cat Ba Biosphere Reserve of Vietnam L. Hue et al. https://doi.org/10.1080/14888386.2024.2385975
6. Detection and monitoring of water hyacinth in large lakes of five Indian urban agglomerates using Sentinel-2 and machine learning models G. Dandabathula et al. https://doi.org/10.1007/s11356-026-38245-2
7. Developing a New Method to Rapidly Map Eucalyptus Distribution in Subtropical Regions Using Sentinel-2 Imagery C. Tang et al. https://doi.org/10.3390/f15101799
8. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology K. Amankulova et al. https://doi.org/10.1080/10106049.2023.2197509
9. Land use land cover (LULC) degradation intensity analysis of Guinea savannah and mosaic Forest savannah zones in Ghana K. Dahan et al. https://doi.org/10.1080/27669645.2023.2255443
10. 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
11. Sentinel-2 Images and Machine Learning as Tool for Monitoring of the Common Agricultural Policy: Calasparra Rice as a Case Study F. López-Andreu et al. https://doi.org/10.3390/agronomy11040621
12. Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature L. Tao et al. https://doi.org/10.1021/acs.jcim.1c01031
13. 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
14. Thematic Classification of Ukrainian Texts, Difficulties of its Introductions K. Bobrovnyk et al. https://doi.org/10.15407/usim.2019.01.041