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Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
Forest aboveground biomass (AGB) plays an important role in the study of the carbon cycle and climate change in the global terrestrial ecosystem. AGB estimation based on remote sensing is an effective method for regional scale. In this study, Landsat 8 Operational Land Imager and Sentinel-1A data an...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7305324/ https://ncbi.nlm.nih.gov/pubmed/32561836 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-67024-3 |
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