Remote sensing liana infestation in an a seasonal tropical forest: addressing mismatch in spatial units of analyses

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Publication date
2021-01-19
Creators
van der Heijden, Geertje
Cutler, Mark
Costa, Hugo
Nilus, Reuben
Boyd, Doreen
Foody, Giles
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Description
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.
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Subjects
  • Remote sensing
  • Hyperspectral imaging
  • Forests and forestry -- Remote sensing
  • Neural networks (Computer science)
  • LiDAR, hyperspectral imaging, neural network, pixel-based soft classification, segmentation
  • Technologies
  • G Geography. Anthropology. Recreation
Divisions
  • University of Nottingham, UK Campus
Deposit date
2021-01-19
Data type
Spectral data and R scripts
Funders
  • Natural Environment Research Council
Grant number
  • NE/P004806/1
  • NE/I528477/1
  • NE/L002604/1
Data collection method
airborne spectrometer
Resource languages
  • en
Publisher
The University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution