Quantitative remote sensing of essential biodiversity variables

DOI

The data presented here relates to Tawanda Gara, PhD thesis 'Quantitative remote sensing of essential biodiversity variables: understanding the role of canopy vertical heterogeneity' available on https://library.itc.utwente.nl/papers_2019/phd/gara.pdf

Date Submitted: 2020-08-25

Identifier
DOI https://doi.org/10.17026/dans-z7m-9fzt
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-z7m-9fzt
Provenance
Creator TW Gara ORCID logo
Publisher DANS Data Station Phys-Tech Sciences
Contributor M Th Koelen; University of Twente
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.openxmlformats-officedocument.wordprocessingml.document; application/pdf; text/plain
Size 14967; 12511; 69265; 2875101; 12621366; 826775; 29377
Version 2.0
Discipline Other