SPECIFIC ALPINE ENVIRONMENT LAND COVER CLASSIFICATION METHODOLOGY: GOOGLE EARTH ENGINE PROCESSING FOR SENTINEL-2 DATA

11 citations as recorded by crossref.

1. Classification of informal settlements using novel object-based machine learning algorithms and drone imagery, Slovo Park, Johannesburg, South Africa L. Sithole & P. Mhangara 10.1080/01431161.2025.2518504
2. Comparative analysis of different algorithms for VAS station land cover classification with limited training points D. García-Rodríguez et al. 10.1016/j.jag.2025.104537
3. An ancient olive tree in the garden. Mapping the deep history of land use from a single image V. Ferrara & A. Wästfelt 10.1080/10106049.2025.2471090
4. Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenario forecasting C. Parracciani et al. 10.1080/15481603.2024.2302221
5. Maize Crop Detection through Geo-Object-Oriented Analysis Using Orbital Multi-Sensors on the Google Earth Engine Platform I. Maciel Junior et al. 10.3390/agriengineering6010030
6. Evaluation of Correction Algorithms for Sentinel-2 Images Implemented in Google Earth Engine for Use in Land Cover Classification in Northern Spain I. Teijido-Murias et al. 10.3390/f15122192
7. Automated corrosion surface quantification in steel transmission towers using UAV photogrammetry and deep convolutional neural networks P. Savino et al. 10.1111/mice.13434
8. A Method to Compute the Ultimate Displacements in Reinforced Earth Rockfall Protection Embankments: A Perspective for the Design S. Vigna et al. 10.1007/s00603-025-04801-4
9. Forest Land Cover Mapping at a Regional Scale Using Multi-Temporal Sentinel-2 Imagery and RF Models L. Alonso et al. 10.3390/rs13122237
10. Agricultural Land Classification Using Vegetation Indices, PCA, and Google Earth Engine: Case Study of Söke/Aydın M. İNALPULAT et al. 10.33202/comuagri.1295054
11. Analysis of the Spatiotemporal Urban Expansion of the Rome Coastline through GEE and RF Algorithm, Using Landsat Imagery F. Lodato et al. 10.3390/ijgi12040141