Validating the Predictive Power of Statistical Models in Retrieving Leaf Dry Matter Content of a Coastal Wetland from a Sentinel-2 Image

DOI

we assessed the performance of partial least squares regression (PLSR) plus 11 widely used vegetation indices (VIs), calculated based on differentcombinations of Sentinel-2 bands, in predicting LDMC in a coastal wetland. The accuracy of the selected methods was validated using LDMC, destructively measured in randomly distributed sample plots at the study site in Schiermonnikoog, the Netherlands.

Identifier
DOI https://doi.org/10.17026/dans-25y-pm4q
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-25y-pm4q
Provenance
Creator A. M. Ali
Publisher DANS Data Station Physical and Technical Sciences
Contributor M Th Koelen
Publication Year 2020
Rights DANS Licence; info:eu-repo/semantics/closedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact M Th Koelen (Faculty of Geo-Information Science and Earth Observation)
Representation
Resource Type Dataset
Format application/zip; application/vnd.oasis.opendocument.spreadsheet
Size 12706; 20757
Version 2.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences