Estimating forest aboveground biomass by low density lidar data in mixed broad-leaved forests in the Italian Pre-Alps-Reference-Cited by-同舟云学术

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Estimating forest aboveground biomass by low density lidar data in mixed broad-leaved forests in the Italian Pre-Alps

Published:2015-04-17 Issue:1 Volume:2 Page:
ISSN:2197-5620
Container-title:Forest Ecosystems
language:en
Short-container-title:For. Ecosyst.

Author:

Montagnoli Antonio,Fusco Sara,Terzaghi Mattia,Kirschbaum Alan,Pflugmacher Dirk,Cohen Warren B,Scippa Gabriella S,Chiatante Donato

Publisher

Elsevier BV

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics,Forestry

Link

http://link.springer.com/content/pdf/10.1186/s40663-015-0035-6.pdf

Reference76 articles.

1. Alberti G, Marelli A, Piovesana D, Peressotti A, Zerbi G, Gottardo E, Bidese F (2006) Carbon stocks and productivity in forest plantations (Kyoto forests) in Friuli Venezia Giulia (Italy). Forest@ 3:488–495

2. Alberti G, Boscutti F, Pirotti F, Bertacco C, De Simon G, Sigura M, Cazorzi F, Bonfanti P (2012) A LiDAR-based approach for a multi-purpose characterization of Alpine forests: an Italian case study.” iForest – Biogeosciences and Forestry 6: 156–168. http://www.sisef.it/iforest/contents/?id=ifor0876-006 doi:10.3832/ifor0876-006

3. Almeida P, Altobelli A, D'Aietti L, Feoli E, Ganis P, Giordano F, Napolitano R, Simonetti C (2014) The role of vegetation analysis by remote sensing and GIS technology for planning sustainable development: A case study for the Santos estuary drainage basin (Brazil). Plant Biosyst 148:540–546

4. Andersen H-E, McGaughey RJ, Reutebuch SE (2005) Estimating forest canopy fuel parameters using LIDAR data. Remote Sens Environ 94:441–449

5. Axelsson P (1999) Processing of laser scanner data – algorithms and applications. ISPRS J Photogramm Remote Sens 54:138–147

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