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

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

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

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00