Change Detection of Tree Biomass with Terrestrial Laser Scanning and Quantitative Structure Modelling

被引：77

作者：

Kaasalainen, Sanna ^{[1
]}

Krooks, Anssi ^{[1
]}

Liski, Jari ^{[2
]}

Raumonen, Pasi ^{[3
]}

Kaartinen, Harri ^{[1
]}

Kaasalainen, Mikko ^{[3
]}

Puttonen, Eetu ^{[1
]}

Anttila, Kati ^{[1
]}

Makipaa, Raisa ^{[4
]}

机构：

[1] Finnish Geodet Inst, FI-02431 Masala, Finland

[2] Finnish Environm Inst, FI-00251 Helsinki, Finland

[3] Tampere Univ Technol, Dept Math, FI-33101 Tampere, Finland

[4] Finnish Forest Res Inst, FI-01301 Vantaa, Finland

来源：

REMOTE SENSING | 2014年 / 6卷 / 05期

基金：

芬兰科学院;

关键词：

terrestrial laser scanning; automatic tree modelling; forest monitoring; branch size distribution; change detection; LIGHT-USE EFFICIENCY; VOLUME; RECONSTRUCTION; ARCHITECTURE; EXTRACTION; EQUATIONS;

D O I：

10.3390/rs6053906

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

We present a new application of terrestrial laser scanning and mathematical modelling for the quantitative change detection of tree biomass, volume, and structure. We investigate the feasibility of the approach with two case studies on trees, assess the accuracy with laboratory reference measurements, and identify the main sources of error, and the ways to mitigate their effect on the results. We show that the changes in the tree branching structure can be reproduced with about +/- 10% accuracy. As the current biomass detection is based on destructive sampling, and the change detection is based on empirical models, our approach provides a non-destructive tool for monitoring important forest characteristics without laborious biomass sampling. The efficiency of the approach enables the repeating of these measurements over time for a large number of samples, providing a fast and effective means for monitoring forest growth, mortality, and biomass in 3D.

引用

页码：3906 / 3922

页数：17

共 34 条

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