Next Article in Journal
Erratum: Spatial Patterns of Irradiance and Advanced Reproduction along a Canopy Disturbance Severity Gradient in an Upland Hardwood Stand. Forests 2016, 7, 73
Previous Article in Journal
Thinning Intensity Affects Soil-Atmosphere Fluxes of Greenhouse Gases and Soil Nitrogen Mineralization in a Lowland Poplar Plantation
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Forests 2016, 7(7), 143; doi:10.3390/f7070143

Evaluating the Performance of High-Altitude Aerial Image-Based Digital Surface Models in Detecting Individual Tree Crowns in Mature Boreal Forests

1
Department of Forest Sciences, University of Helsinki, FI-00014 Helsinki, Finland
2
Finnish Geospatial Research Institute, National Land Survey, Geodeetinrinne 2, 04310 Masala, Finland
3
Centre of Excellence in Laser Scanning Research, Finnish Geospatial Research Institute, FI-02431 Masala, Finland
*
Author to whom correspondence should be addressed.
Academic Editors: Joanne C. White and Eric J. Jokela
Received: 30 November 2015 / Revised: 28 June 2016 / Accepted: 5 July 2016 / Published: 12 July 2016
View Full-Text   |   Download PDF [4136 KB, uploaded 12 July 2016]   |  

Abstract

Height models based on high-altitude aerial images provide a low-cost means of generating detailed 3D models of the forest canopy. In this study, the performance of these height models in the detection of individual trees was evaluated in a commercially managed boreal forest. Airborne digital stereo imagery (DSI) was captured from a flight altitude of 5 km with a ground sample distance of 50 cm and corresponds to regular national topographic airborne data capture programs operated in many countries. Tree tops were detected from smoothed canopy height models (CHM) using watershed segmentation. The relative amount of detected trees varied between 26% and 140%, and the RMSE of plot-level arithmetic mean height between 2.2 m and 3.1 m. Both the dominant tree species and the filter used for smoothing affected the results. Even though the spatial resolution of DSI-based CHM was sufficient, detecting individual trees from the data proved to be demanding because of the shading effect of the dominant trees and the limited amount of data from lower canopy levels and near the ground. View Full-Text
Keywords: remote sensing; forest inventory; forest mensuration; tree detection; aerial images; photogrammetric point cloud remote sensing; forest inventory; forest mensuration; tree detection; aerial images; photogrammetric point cloud
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Tanhuanpää, T.; Saarinen, N.; Kankare, V.; Nurminen, K.; Vastaranta, M.; Honkavaara, E.; Karjalainen, M.; Yu, X.; Holopainen, M.; Hyyppä, J. Evaluating the Performance of High-Altitude Aerial Image-Based Digital Surface Models in Detecting Individual Tree Crowns in Mature Boreal Forests. Forests 2016, 7, 143.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top