Assessing the accuracy for area-based tree species classification using Sentinel-1 C-band SAR data
Forest type (FTY) and tree species classification (SPP) over the Remn-ingstorp test site were performed using ground-based field observations and remote sensing data sources. The field inventory for the forest estate and for the surrounding natural reserve of Eahagen was carried out in 2016. The re-...
| Autor principal: | |
|---|---|
| Formato: | H2 |
| Lenguaje: | Inglés |
| Publicado: |
SLU/Dept. of Forest Resource Management
2019
|
| Materias: |
Ejemplares similares: Assessing the accuracy for area-based tree species classification using Sentinel-1 C-band SAR data
- Modeling of Effective Leaf Area Index
- Tree species classification using multi-temporal Sentinel-2 data
- Assessment of multi - date sentinel - 1 polarizations and GLCM texture features capacity for onion and sunflower classification in an irrigated valley: An object level approach
- Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
- Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes
- Classification and regression trees: an introduction