An automated algorithm for mapping building impervious areas from airborne LiDAR point-cloud data for flood hydrology

Chen-Ling J. Hung, L. Allan James, Michael E. Hodgson

Open source

DOI: 10.1080/15481603.2018.1452588
Published: 2018-03-22
Container: GIScience & Remote Sensing
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/15481603.2018.1452588,
  title = {An automated algorithm for mapping building impervious areas from airborne LiDAR point-cloud data for flood hydrology},
  author = {Chen-Ling J. Hung and L. Allan James and Michael E. Hodgson},
  year = {2018},
  journal = {GIScience \&amp; Remote Sensing},
  doi = {10.1080/15481603.2018.1452588},
  url = {https://doi.org/10.1080/15481603.2018.1452588}
}

RIS

TY  - JOUR
TI  - An automated algorithm for mapping building impervious areas from airborne LiDAR point-cloud data for flood hydrology
AU  - Chen-Ling J. Hung
AU  - L. Allan James
AU  - Michael E. Hodgson
PY  - 2018
JO  - GIScience &amp; Remote Sensing
DO  - 10.1080/15481603.2018.1452588
UR  - https://doi.org/10.1080/15481603.2018.1452588
ER  -

APA

Hung, C. J., James, L. A., & Hodgson, M. E. (2018). An automated algorithm for mapping building impervious areas from airborne LiDAR point-cloud data for flood hydrology. GIScience & Remote Sensing. https://doi.org/10.1080/15481603.2018.1452588

Source records

crossref · retrieved 2026-11-05T13:56:59.905Z