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

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

Background Estimation of forest biomass on the regional and global scale is of great importance. Many studies have demonstrated that lidar is an accurate tool for estimating forest aboveground biomass. However, results vary with forest types, terrain conditions and the quality of the lidar data. Met...

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Veröffentlicht in:Forest ecosystems 2015-04, Vol.2 (1), p.1, Article 10
Hauptverfasser: Montagnoli, Antonio, Fusco, Sara, Terzaghi, Mattia, Kirschbaum, Alan, Pflugmacher, Dirk, Cohen, Warren B, Scippa, Gabriella S, Chiatante, Donato
Format: Artikel
Sprache:eng
Schlagworte:
3D Remote Sensing
Biomedical and Life Sciences
Ecology
Ecosystems
Forestry
Life Sciences
Research Article
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Zusammenfassung:Background Estimation of forest biomass on the regional and global scale is of great importance. Many studies have demonstrated that lidar is an accurate tool for estimating forest aboveground biomass. However, results vary with forest types, terrain conditions and the quality of the lidar data. Methods In this study, we investigated the utility of low density lidar data (
ISSN:2197-5620
2095-6355
2197-5620
DOI:10.1186/s40663-015-0035-6