A Purely Spaceborne Open Source Approach for Regional Bathymetry Mapping

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Author
Lagomasino, David; Thomas, Nathan
URI
http://hdl.handle.net/10342/11827
Subject
 bathymetry; landsat8; machine learning 
Date
2022
Citation:
APA:
Lagomasino, David, & Thomas, Nathan. (January 2022). A Purely Spaceborne Open Source Approach for Regional Bathymetry Mapping. , (), - . Retrieved from http://hdl.handle.net/10342/11827

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MLA:
Lagomasino, David, and Thomas, Nathan. "A Purely Spaceborne Open Source Approach for Regional Bathymetry Mapping". . . (), January 2022. November 30, 2023. http://hdl.handle.net/10342/11827.
Chicago:
Lagomasino, David and Thomas, Nathan, "A Purely Spaceborne Open Source Approach for Regional Bathymetry Mapping," , no. (January 2022), http://hdl.handle.net/10342/11827 (accessed November 30, 2023).
AMA:
Lagomasino, David, Thomas, Nathan. A Purely Spaceborne Open Source Approach for Regional Bathymetry Mapping. . January 2022; (): . http://hdl.handle.net/10342/11827. Accessed November 30, 2023.
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