Deep transfer learning of global spectra for local soil carbon monitoring
There is global interest in spectroscopy and the development of large and diverse soil spectral libraries (SSL) to model soil organic carbon (SOC) and monitor, report, and verify (MRV) its changes. The reason is that increasing SOC can improve food production and mitigate climate change. However, ‘g...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2022
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| Online Access: | http://hdl.handle.net/20.500.11937/88543 |