Global Airborne Observatory: Mapped Infrastructure on Hawaii Island

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

Related Organizations

Arizona State University
United States

Keywords

LiDAR, hyperspectral imaging, deep learning, building detection, imaging spectroscopy, gradient boosting, Hawaii, remote sensing, rural residential development, convolutional neural networks, Global Airborne Observatory, image segmentation

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