Advances in remote sensing of hydraulic roughness
Author:
Affiliation:
1. a Dipartimento di Ingegneria Civile e Ambientale , University of Florence , Florence , Italy
2. b Dipartimento di Ingegneria Agraria e Forestale , University of Florence , Florence , Italy
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2010.531788
Reference117 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
4. Object-based land cover classification using airborne LiDAR
5. Retrieval of vegetative fluid resistance terms for rigid stems using airborne lidar
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