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DOI:10.1016/j.rsase.2020.100311
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Developing Forest Cover Composites through a Combination of Landsat-8 Optical and Sentinel-1 SAR Data for the Visualization and Extraction of Forested Areas
Journal of Imaging,
2018
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Characterization of Vegetation Physiognomic Types Using Bidirectional Reflectance Data
Geosciences,
2018
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A Machine Learning and Cross-Validation Approach for the Discrimination of Vegetation Physiognomic Types Using Satellite Based Multispectral and Multitemporal Data
Scientifica,
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High-Resolution Vegetation Mapping in Japan by Combining Sentinel-2 and Landsat 8 Based Multi-Temporal Datasets through Machine Learning and Cross-Validation Approach
Land,
2017
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