Next Article in Journal / Special Issue
Using VEGNET In-Situ Monitoring LiDAR (IML) to Capture Dynamics of Plant Area Index, Structure and Phenology in Aspen Parkland Forests in Alberta, Canada
Previous Article in Journal / Special Issue
Assessment of Low Density Full-Waveform Airborne Laser Scanning for Individual Tree Detection and Tree Species Classification
Due to scheduled maintaince work on one of the switches in our server center, our websites and may experience short service dirsuptions of up to 5 minutes on 30 January 2015 00:00 PM EST time.
Forests 2014, 5(5), 1032-1052; doi:10.3390/f5051032

Urban-Tree-Attribute Update Using Multisource Single-Tree Inventory

1,2,* , 1,2
, 1,2
, 1,2
, 1,2
, 2,3
 and 2,3,4,5
Received: 20 January 2014 / Revised: 13 May 2014 / Accepted: 14 May 2014 / Published: 22 May 2014
View Full-Text   |   Download PDF [1488 KB, uploaded 22 May 2014]   |   Browse Figures
Abstract: The requirements for up-to-date tree data in city parks and forests are increasing, and an important question is how to keep the digital databases current for various applications. Traditional map-updating procedures, such as visual interpretation of digital aerial images or field measurements using tachymeters, are either inaccurate or expensive. Recently, the development of laser-scanning technology has opened new opportunities for tree mapping and attributes updating. For a detailed measurement and attributes update of urban trees, we tested the use of a multisource single-tree inventory (MS-STI) for heterogeneous urban forest conditions. MS-STI requires an existing tree map as input information in addition to airborne laser-scanning (ALS) data. In our study, the tested input tree map was produced by terrestrial laser scanning (TLS) and by using a Global Navigation Satellite System (GNSS). Tree attributes were either measured from ALS or predicted by using metrics extracted from ALS data. Stem diameter-at-breast height (DBH) was predicted and compared to the field measures, and tree height and crown area were directly measured from ALS data at the two different urban-forest areas. The results indicate that MS-STI can be used for updating urban-forest attributes. The accuracies of DBH estimations were improved compared to the existing attribute information in the city of Helsinki’s urban-tree register. In addition, important attributes, such as tree height and crown dimensions, were extracted from ALS and added as attributes to the urban-tree register.
Keywords: urban forest; remote sensing; LiDAR; Airborne laser scanning; GIS; forest inventory; forest mapping; city planning; land-use planning urban forest; remote sensing; LiDAR; Airborne laser scanning; GIS; forest inventory; forest mapping; city planning; land-use planning
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.

Export to BibTeX |

MDPI and ACS Style

Saarinen, N.; Vastaranta, M.; Kankare, V.; Tanhuanpää, T.; Holopainen, M.; Hyyppä, J.; Hyyppä, H. Urban-Tree-Attribute Update Using Multisource Single-Tree Inventory. Forests 2014, 5, 1032-1052.

AMA Style

Saarinen N, Vastaranta M, Kankare V, Tanhuanpää T, Holopainen M, Hyyppä J, Hyyppä H. Urban-Tree-Attribute Update Using Multisource Single-Tree Inventory. Forests. 2014; 5(5):1032-1052.

Chicago/Turabian Style

Saarinen, Ninni; Vastaranta, Mikko; Kankare, Ville; Tanhuanpää, Topi; Holopainen, Markus; Hyyppä, Juha; Hyyppä, Hannu. 2014. "Urban-Tree-Attribute Update Using Multisource Single-Tree Inventory." Forests 5, no. 5: 1032-1052.

Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert