Influence of Sampling Design Parameters on Biomass Predictions Derived from Airborne LiDAR Data-Reference-Cited by-同舟云学术

Influence of Sampling Design Parameters on Biomass Predictions Derived from Airborne LiDAR Data

Published:2019-09-03 Issue:5 Volume:45 Page:650-672
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Bouvier Marc¹²,Durrieu Sylvie¹,Fournier Richard A.³,Saint-Geours Nathalie¹⁴,Guyon Dominique⁵,Grau Eloi¹,de Boissieu Florian¹

Affiliation:

1. UMR TETIS Irstea, Cirad, Agro Paris Tech, CNRS, Univ Montpellier, Maison de la Télédétection en Languedoc-Roussillon, 500, rue J.F. Breton BP 5095, Montpellier Cedex 05, 34196, France;

2. INFOGEO, Montpellier, 34000, France;

3. Centre d’Applications et de Recherches en Télédétection (CARTEL), Département de géomatique appliquée, Université de Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada;

4. iTK - Predict & Decide, Clapiers, 34830, France;

5. INRA, UMR1391 ISPA, Villenave d’Ornon, 33140, France

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2019.1669013

Reference71 articles.

1. A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods

2. Future research challenges for incorporation of uncertainty in environmental and ecological decision-making

3. A Comparison of Autonomous, WAAS, Real-Time, and Post-Processed Global Positioning Systems (GPS) Accuracies in Northern Forests

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