Using automated vegetation cover estimation from close-range photogrammetric point clouds to compare vegetation location properties in mountain terrain

Using automated vegetation cover estimation from close-range photogrammetric point clouds to compare vegetation location properties in mountain terrain

In this paper we present a low-cost approach to mapping vegetation cover by means of high-resolution close-range terrestrial photogrammetry. A total of 249 clusters of nine 1 m2 plots each, arranged in a 3 × 3 grid, were set up on 18 summits in Mediterranean mountain regions and in the Alps to captu...

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Bibliographic Details
Main Authors: R. Niederheiser, M. Winkler, V. Di Cecco, B. Erschbamer, R. Fernández, C. Geitner, Hannah Hofbauer, C. Kalaitzidis, Barbara Klingraber, A. Lamprecht, J. Lorite, L. Nicklas, P. Nyktas, H. Pauli, A. Stanisci, K. Steinbauer, J.-P. Theurillat, P. Vittoz, M. Rutzinger
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:GIScience & Remote Sensing
Subjects:
high-mountain vegetation
vegetation stand properties
topographic parameters
3d point cloud processing
random forest
linear mixed-effects model
Online Access:http://dx.doi.org/10.1080/15481603.2020.1859264

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