Riparian Vegetation Mapping for Hydraulic Roughness Estimation Using Very High Resolution Remote Sensing Data Fusion-Reference-Cited by-同舟云学术

Riparian Vegetation Mapping for Hydraulic Roughness Estimation Using Very High Resolution Remote Sensing Data Fusion

Published:2010-11 Issue:11 Volume:136 Page:855-867
ISSN:0733-9429
Container-title:Journal of Hydraulic Engineering
language:en
Short-container-title:J. Hydraul. Eng.

Author:

Forzieri Giovanni¹²³⁴⁵,Moser Gabriele¹²³⁴⁵,Vivoni Enrique R.¹²³⁴⁵,Castelli Fabio¹²³⁴⁵,Canovaro Francesco¹²³⁴⁵

Affiliation:

1. Researcher, Dipartimento di Ingegneria Civile e Ambientale, Univ. of Florence, Italy; and, Dept. of Earth and Environmental Science, New Mexico Institute of Mining and Technology, Socorro, NM (corresponding author).

2. Researcher, Dipartimento di Ingegneria Biofisica ed Elettronica, Univ. of Genoa, Italy.

3. Associate Professor, School of Sustainable Engineering and the Built Environment and School of Earth and Space Exploration, Arizona State Univ., Tempe, AZ; formerly, Dept. of Earth and Environmental Science, New Mexico Institute of Mining and Technology, Socorro, NM.

4. Full Professor, Dipartimento di Ingegneria Civile e Ambientale, Univ. of Florence, Italy.

5. Researcher, Center of Research and Advanced Education for Hydrogeological Risk Prevention, Lucca, Italy.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Water Science and Technology,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HY.1943-7900.0000254

Reference68 articles.

1. Detailed mapping of riparian vegetation in the middle Rio Grande River using high resolution multi-spectral airborne remote sensing

2. Estimating forest canopy fuel parameters using LIDAR data

3. An analysis of the influence of riparian vegetation on the propagation of flood waves