Materials underlying the research article “A multi-scale remote sensing framework for mapping evergreen understory bamboo in mountainous forests”

DOI

Dataset for: "Chapter 4 - A multi-scale remote sensing framework for mapping evergreen understory bamboo in mountainous forests". This Chapter is part of the thesis "MULTI-RESOLUTION DEEP LEARNING FOR FOREST STRUCTURE MAPPING TO SUPPORT GIANT PANDA HABITAT AND DISTRIBUTION MODELLING"

Identifier
DOI https://doi.org/10.17026/LS/RJXEQC
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/LS/RJXEQC
Provenance
Creator X. Zhu ORCID logo
Publisher DANS Data Station Life Sciences
Contributor Koelen, M Th
Publication Year 2026
Rights CC-BY-NC-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess true
Contact Koelen, M Th (Faculty of Geo-Information Science and Earth Observation)
Representation
Resource Type Dataset
Format application/x-ipynb+json; image/tiff; text/plain; application/octet-stream
Size 21122; 3411128; 893; 966448; 556600448; 7730688; 241708; 139150208; 1932768; 24750
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences