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

Forests

Ninni Saarinen²  Mikko Vastaranta²  Ville Kankare²  Topi Tanhuanpää²  Markus Holopainen²  Juha Hyyppä¹ 

[1] Centre of Excellence in Laser Scanning Research, Finnish Geodetic Institute, FI-02431 Masala, Finland; E-Mails:;Department of Forest Sciences, University of Helsinki, P.O. Box 27, 00014 Helsinki, Finland; E-Mails:

关键词: urban forest;    remote sensing;    LiDAR;    Airborne laser scanning;    GIS;    forest inventory;    forest mapping;    city planning;    land-use planning;   

DOI  :  10.3390/f5051032

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.