Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data

DOI10.1007/S10260-012-0220-5zbMath1332.86007OpenAlexW1988050292MaRDI QIDQ257444

Timothy G. Gregoire, Erik Næsset, Ole Martin Bollandsås, Bernt-Håvard Øyen

Publication date: 17 March 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-012-0220-5

zbMATH Keywords

airborne laser scanningbiomass changemultitemporal data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Uses Software

• Unnamed Item
• nlme
• rms

Cites Work

• Regression modeling strategies. With applications to linear models, logistic regression and survival analysis
• A new look at the statistical model identification

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