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

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Publication date
2021-01-19Creators
van der Heijden, Geertje
Cutler, Mark
Costa, Hugo
Nilus, Reuben
Boyd, Doreen
Foody, Giles
Metadata
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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
2021-01-19Data type
Spectral data and R scriptsFunders
- Natural Environment Research Council
Grant number
- NE/P004806/1
- NE/I528477/1
- NE/L002604/1
Data collection method
airborne spectrometerResource languages
- en