Supplemental material
GIScience & Remote Sensing
Volume 60, 2023 - Issue 1
Research Article
Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model
Logambal Madhuananda Department of Physical Geography, Utrecht University, Utrecht, NetherlandsCorrespondence[email protected]
https://orcid.org/0000-0002-1534-5234View further author information
https://orcid.org/0000-0002-1534-5234View further author information, Catharina J. M. Philipparta Department of Physical Geography, Utrecht University, Utrecht, Netherlands;b Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Texel, Netherlandshttps://orcid.org/0000-0001-7238-9113View further author information
https://orcid.org/0000-0001-7238-9113View further author information, , Wiebe Nijlanda Department of Physical Geography, Utrecht University, Utrecht, Netherlandshttps://orcid.org/0000-0002-2665-0947View further author information
https://orcid.org/0000-0002-2665-0947View further author information, Steven M. de Jonga Department of Physical Geography, Utrecht University, Utrecht, Netherlandshttps://orcid.org/0000-0002-1586-9601View further author information
https://orcid.org/0000-0002-1586-9601View further author information, Allert I. Bijleveldb Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Texel, Netherlandshttps://orcid.org/0000-0002-3159-8944View further author information
https://orcid.org/0000-0002-3159-8944View further author information & Elisabeth A. Addinka Department of Physical Geography, Utrecht University, Utrecht, Netherlandshttps://orcid.org/0000-0002-0919-6498View further author information
https://orcid.org/0000-0002-0919-6498View further author information show all