Automated Classification of Urban Areas for Storm Water Management Using Aerial Photography and LiDAR-Reference-Cited by-同舟云学术

Automated Classification of Urban Areas for Storm Water Management Using Aerial Photography and LiDAR

Published:2014-05 Issue:5 Volume:19 Page:887-895
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Talebi Leila¹,Kuczynski Anika²,Graettinger Andrew J.³,Pitt Robert⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, Tuscaloosa, AL 35487 (corresponding author).

2. Graduate Student, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, Tuscaloosa, AL 35487.

3. Associate Professor, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, Tuscaloosa, AL 35487.

4. Cudworth Professor, Director of the Environmental Institute, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, Tuscaloosa, AL 35487.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000815

Reference37 articles.

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4. Bauer M. E. Heinert N. J. Doyle J. K. and Yuan F. (2004). “Impervious surface mapping and change monitoring using Landsat remote sensing.” Proc. ASPRS Annual Conf. Denver (CD-ROM).

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