Deep transfer learning of global spectra for local soil carbon monitoring

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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...

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Bibliographic Details
Main Authors:	Shen, Zefang, Ramirez-Lopez, Leonardo, Behrens, Thorsten, Cui, Lei, Zhang, Mingxi, Walden, Lewis, Wetterlind, Johana, Shi, Zhou, Sudduth, Kenneth, Baumann, Philipp, Song, Yongze, Catambay, Kevin, Viscarra Rossel, Raphael
Format:	Journal Article
Published:	Elsevier 2022
Online Access:	http://hdl.handle.net/20.500.11937/88543

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