ASSESSMENTS OF SENTINEL-2 VEGETATION RED-EDGE SPECTRAL BANDS FOR IMPROVING LAND COVER CLASSIFICATION

8 citations as recorded by crossref.

1. Winter remote sensing images are more suitable for forest mapping in Jiangxi Province R. Wang et al. 10.1080/22797254.2023.2237655
2. Total Stem Biomass Estimation Using Sentinel-1 and -2 Data in a Dense Coniferous Forest of Complex Structure and Terrain N. Georgopoulos et al. 10.3390/f13122157
3. Multi-Source Remote Sensing Data for Wetland Information Extraction: A Case Study of the Nanweng River National Wetland Reserve H. Yu et al. 10.3390/s24206664
4. Integrating Sentinel-2 Derivatives to Map Land Use/Land Cover in an Avocado Agro-Ecological System in Kenya E. King’ori et al. 10.1007/s41976-023-00090-z
5. Forest Land Cover Mapping at a Regional Scale Using Multi-Temporal Sentinel-2 Imagery and RF Models L. Alonso et al. 10.3390/rs13122237
6. Comparison of Tree Typologies Mapping Using Random Forest Classifier Algorithm of PRISMA and Sentinel-2 Products in Different Areas of Central Italy E. Caputi et al. 10.3390/rs17030356
7. Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data L. Suarez et al. 10.1007/s11119-020-09722-6
8. Selecting Relevant Biological Variables Derived from Sentinel-2 Data for Mapping Changes from Grassland to Arable Land Using Random Forest Classifier J. Šandera & P. Štych 10.3390/land9110420