Version 1.0
Global Airborne Observatory: Mapped Infrastructure on Hawaii Island
Mason, Rachel E.;Vaughn, Nicholas R.;Asner, Gregory P.
Description
There are three mapping datasets showing infrastructure on Hawaii Island (Hawaii County) in the State of Hawaii. The datasets were created using a combination of a convolutional neural network (CNN) and gradient boosted trees (GBT) run on Global Airborne Observatory laser scanning and imaging spectroscopy data.. Full methodology is available in the following reference: Mason, R.E.; Vaughn, N.R.; Asner, G.P. Mapping Buildings across Heterogeneous Landscapes: Machine Learning and Deep Learning Applied to Multi-Modal Remote Sensing Data. Remote Sensing 2023, 15, x. https://doi.org/10.3390/xxxxx
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Publication Details
DOI
Publisher
Zenodo
Subfield
Ocean Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
52%
Source
Open Alex
Keywords
Global Airborne ObservatoryLiDARimaging spectroscopyhyperspectral imagingremote sensingdeep learningconvolutional neural networksgradient boostingimage segmentationbuilding detectionrural residential developmentHawaii