Remote Sens. 2013, 5(10), 5285-5303; doi:10.3390/rs5105285
Article

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning

1 Department of Geography and Geology, University of Turku, FI-20014 Turku, Finland 2 Department of Forest Sciences, University of Helsinki, FI-00014 Helsinki, Finland 3 Department of Real Estate, Planning and Geoinformatics, Aalto University, FI-00076 Aalto, Finland 4 Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, FI-02431 Masala, Finland 5 Helsinki Metropolia University of Applied Sciences, FI-00079 Helsinki, Finland
* Author to whom correspondence should be addressed.
Received: 6 September 2013; in revised form: 16 October 2013 / Accepted: 16 October 2013 / Published: 22 October 2013
(This article belongs to the Special Issue Advances in Mobile Laser Scanning and Mobile Mapping)
PDF Full-text Download PDF Full-Text [4924 KB, uploaded 22 October 2013 14:02 CEST]
Abstract: Vegetation plays an important role in stabilizing the soil and decreasing fluvial erosion. In certain cases, vegetation increases the accumulation of fine sediments. Efficient and accurate methods are required for mapping and monitoring changes in the fluvial environment. Here, we develop an area-based approach for mapping and monitoring the vegetation structure along a river channel. First, a 2 × 2 m grid was placed over the study area. Metrics describing vegetation density and height were derived from mobile laser-scanning (MLS) data and used to predict the variables in the nearest-neighbor (NN) estimations. The training data were obtained from aerial images. The vegetation cover type was classified into the following four classes: bare ground, field layer, shrub layer, and canopy layer. Multi-temporal MLS data sets were applied to the change detection of riverine vegetation. This approach successfully classified vegetation cover with an overall classification accuracy of 72.6%; classification accuracies for bare ground, field layer, shrub layer, and canopy layer were 79.5%, 35.0%, 45.2% and 100.0%, respectively. Vegetation changes were detected primarily in outer river bends. These results proved that our approach was suitable for mapping riverine vegetation.
Keywords: LiDAR; mobile laser scanning (MLS); riverine environment; river bank; vegetation; change detection

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Saarinen, N.; Vastaranta, M.; Vaaja, M.; Lotsari, E.; Jaakkola, A.; Kukko, A.; Kaartinen, H.; Holopainen, M.; Hyyppä, H.; Alho, P. Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning. Remote Sens. 2013, 5, 5285-5303.

AMA Style

Saarinen N, Vastaranta M, Vaaja M, Lotsari E, Jaakkola A, Kukko A, Kaartinen H, Holopainen M, Hyyppä H, Alho P. Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning. Remote Sensing. 2013; 5(10):5285-5303.

Chicago/Turabian Style

Saarinen, Ninni; Vastaranta, Mikko; Vaaja, Matti; Lotsari, Eliisa; Jaakkola, Anttoni; Kukko, Antero; Kaartinen, Harri; Holopainen, Markus; Hyyppä, Hannu; Alho, Petteri. 2013. "Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning." Remote Sens. 5, no. 10: 5285-5303.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert