|
[1]
|
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
DOI:10.3390/jimaging4090105
|
|
|
|
|
[2]
|
Characterization of Vegetation Physiognomic Types Using Bidirectional Reflectance Data
Geosciences,
2018
DOI:10.3390/geosciences8110394
|
|
|
|
|
[3]
|
A Machine Learning and Cross-Validation Approach for the Discrimination of Vegetation Physiognomic Types Using Satellite Based Multispectral and Multitemporal Data
Scientifica,
2017
DOI:10.1155/2017/9806479
|
|
|
|
|
[4]
|
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
DOI:10.3390/land6030050
|
|
|
|