Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model

Author:

Mehtätalo LauriORCID,Yazigi Adil,Kansanen Kasper,Packalen Petteri,Lähivaara Timo,Maltamo Matti,Myllymäki Mari,Penttinen Antti

Funder

Academy of Finland

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference17 articles.

1. Stochastic Geometry and Its Applications;Chiu,2013

2. Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data;Gaveau;Can. J. Remote Sens.,2003

3. Spatial analysis of airborne laser scanning point clouds for predicting forest structure;Häbel;Math. Comput. Forestry Nat.-Resour. Sci. (MCFNS),2021

4. Regression Modeling Strategies with Applications To Linear Models, Logistic Regression, and Survival Analysis;Harrell,2001

5. Illian, J., Penttinen, A., Stoyan, H., Stoyan, D., 2007. Statistical Analysis and Modelling of Spatial Point Patterns. John Wiley & Sons, Ltd, ISBN: 9780470725160, http://dx.doi.org/10.1002/9780470725160.ch1.

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