Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Estimation of forest aboveground biomass (AGB) is crucial for various technical and scientific applications, ranging from regional carbon and bioenergy policies to sustainable forest management. However, passive optical remote sensing, which is the most widely used remote sensing data for retrieving vegetation parameters, is constrained by spectral...
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Full title
Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_f306008bbc1849e998fd17412f06d8fe
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f306008bbc1849e998fd17412f06d8fe
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs11121459
