An automated algorithm for mapping building impervious areas from airborne LiDAR point-cloud data for flood hydrology-Reference-Cited by-同舟云学术

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

Published:2018-03-22 Issue:6 Volume:55 Page:793-816
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Hung Chen-Ling J.¹²³^ORCID,James L. Allan³^ORCID,Hodgson Michael E.³^ORCID

Affiliation:

1. Center for Geographic Information Science, Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Sec. 2, Nankang, Taipei, 11529, Taiwan

2. Yvonne and Schuyler Moore Child Development Research Center, University of South Carolina, 1530 Wheat St., Columbia, SC 29201, USA

3. Department of Geography, University of South Carolina, 709 Bull St., Columbia, SC 29208, USA

Funder

University of South Carolina

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2018.1452588

Reference56 articles.

1. Urban Point Cloud Mining Based on Density Clustering and MapReduce

2. Impervious Surface Coverage: The Emergence of a Key Environmental Indicator

3. Automatic Segmentation of Raw LIDAR Data for Extraction of Building Roofs

4. Building Detection in Complex Scenes Thorough Effective Separation of Buildings from Trees

5. Automatic Building Extraction From LIDAR Data Covering Complex Urban Scenes

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Urban form Using Remote Sensing: Spatiotemporal Research Gaps for Sustainable Environment and Human Health;Earth Data Analytics for Planetary Health;2023

2. A Morphological Feature-Oriented Algorithm for Extracting Impervious Surface Areas Obscured by Vegetation in Collaboration with OSM Road Networks in Urban Areas;Remote Sensing;2022-05-23

3. Investigation and simulation of flood inundation hazard in urban areas in Iran;Geoenvironmental Disasters;2021-08-09

4. Precise Extraction of Buildings from High-Resolution Remote-Sensing Images Based on Semantic Edges and Segmentation;Remote Sensing;2021-08-05

5. Mapathons versus automated feature extraction: a comparative analysis for strengthening immunization microplanning;International Journal of Health Geographics;2021-06-07