ALGORITHMS FOR ESTIMATING FOREST INVENTORY PARAMETERS FROM DATA ACQUIRED BY REMOTE SENSING METHODS

Ingus Smits, Salvis Dagis

2008

Abstract

Two technologies- LiDAR (Light Detection and Ranging) and aero photography- have a huge potential in forest taxation, which is a process of gathering different parameters of specific region. Both technologies can be used for finding different parameters of interest, such as number of trees, tree height and other. This paper presents the results of usage analysis for LiDAR and aero photography, and describes their possibilities. Also it contains an analysis of tree identifying algorithms and describes ways of their usage in different processes.

Paper Citation

in Harvard Style

Smits I. and Dagis S. (2008). ALGORITHMS FOR ESTIMATING FOREST INVENTORY PARAMETERS FROM DATA ACQUIRED BY REMOTE SENSING METHODS . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 583-587. DOI: 10.5220/0001720005830587

in Bibtex Style

@conference{iceis08,
author={Ingus Smits and Salvis Dagis},
title={ALGORITHMS FOR ESTIMATING FOREST INVENTORY PARAMETERS FROM DATA ACQUIRED BY REMOTE SENSING METHODS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={583-587},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001720005830587},
isbn={978-989-8111-37-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - ALGORITHMS FOR ESTIMATING FOREST INVENTORY PARAMETERS FROM DATA ACQUIRED BY REMOTE SENSING METHODS
SN - 978-989-8111-37-1
AU - Smits I.
AU - Dagis S.
PY - 2008
SP - 583
EP - 587
DO - 10.5220/0001720005830587