Quantifying the influence of slope, aspect, crown shape and stem density on the estimation of tree height at plot level using lidar and InSAR data-Reference-Cited by-同舟云学术

Quantifying the influence of slope, aspect, crown shape and stem density on the estimation of tree height at plot level using lidar and InSAR data

Published:2008-02-25 Issue:5 Volume:29 Page:1511-1536
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Breidenbach J.¹,Koch B.²,Kändler G.¹,Kleusberg A.³

Affiliation:

1. a Department of Biometrics , Forest Research Institute (FVA) Baden‐Wuerttemberg , Freiburg, Germany

2. b Department of Remote Sensing and Landscape Information Systems (FELIS) , University of Freiburg , Freiburg, Germany

3. c Institute for Navigation (INS) , University of Stuttgart , Stuttgart, Germany

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160701736364

Reference28 articles.

1. Estimating forest canopy fuel parameters using LIDAR data

2. Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data

3. Heurich , M. 2006. Evaluierung und Entwicklung von Methoden zur automatisierten Erfassung von Waldstrukturen aus Daten flugzeuggetragener Fernerkundungssensoren[in German, ‘Evaluation and development of methods to automatically detect forest structures from airborne remote sensing data’]. Bayrische Landesanstalt f. Wald v. Forstwistschaft. Forstliche Forschungsberichte München, 202

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