Remote sensing liana infestation in an a seasonal tropical forest: addressing mismatch in spatial units of analyses
dc.contributor.author | van der Heijden, Geertje | |
dc.contributor.author | Cutler, Mark | |
dc.contributor.author | Costa, Hugo | |
dc.contributor.author | Nilus, Reuben | |
dc.contributor.author | Boyd, Doreen | |
dc.contributor.author | Foody, Giles | |
dc.date.accessioned | 2021-01-19T14:01:23Z | |
dc.date.available | 2021-01-19T14:01:23Z | |
dc.date.issued | 2021-01-19 | |
dc.identifier.uri | https://rdmc.nottingham.ac.uk/handle/internal/9117 | |
dc.description.abstract | All data and R scripts for the processing of airborne hyperspectral/lidar data and modelling of the spatial distribution of liana infestation in Sabah, Malaysia. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | The University of Nottingham | en_UK |
dc.rights | CC-BY | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.lcsh | Remote sensing | en_UK |
dc.subject.lcsh | Hyperspectral imaging | en_UK |
dc.subject.lcsh | Forests and forestry -- Remote sensing | en_UK |
dc.subject.lcsh | Neural networks (Computer science) | en_UK |
dc.title | Remote sensing liana infestation in an a seasonal tropical forest: addressing mismatch in spatial units of analyses | en_UK |
dc.identifier.doi | http://doi.org/10.17639/nott.7092 | |
dc.subject.free | LiDAR, hyperspectral imaging, neural network, pixel-based soft classification, segmentation | en_UK |
dc.subject.jacs | Technologies | en_UK |
dc.subject.lc | G Geography. Anthropology. Recreation | en_UK |
uon.division | University of Nottingham, UK Campus | en_UK |
uon.funder.controlled | Natural Environment Research Council | en_UK |
uon.datatype | Spectral data and R scripts | en_UK |
uon.grant | NE/P004806/1 | en_UK |
uon.grant | NE/I528477/1 | en_UK |
uon.grant | NE/L002604/1 | en_UK |
uon.collectionmethod | airborne spectrometer | en_UK |
uon.preservation.rarelyaccessed | true | |
dc.relation.doi | 10.1002/RSE2.197 | en_UK |