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

7 citations as recorded by crossref.

1. A Multi Sensor Approach to Forest Type Mapping for Advancing Monitoring of Sustainable Development Goals (SDG) in Myanmar S. Biswas et al. 10.3390/rs12193220
2. Improved Mapping of Mountain Shrublands Using the Sentinel-2 Red-Edge Band A. Bayle et al. 10.3390/rs11232807
3. Crop Classification Based on Red Edge Features Analysis of GF-6 WFV Data Y. Kang et al. 10.3390/s21134328
4. A Comparison of Multi-Temporal RGB and Multispectral UAS Imagery for Tree Species Classification in Heterogeneous New Hampshire Forests H. Grybas & R. Congalton 10.3390/rs13132631
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. Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data L. Suarez et al. 10.1007/s11119-020-09722-6
7. 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