Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning alg...
Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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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 and China’s National Forest Continuous Inventory dat...
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Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
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TN_cdi_proquest_journals_2414909724
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2414909724
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-67024-3
