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Airborne laser scanning data for snow covered biomass estimation
Date
2009-04-13
Author
Vazirabad, Yashar Fallah
Karslıoğlu, Mahmut Onur
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Airborne laser scanning provides reliable terrain data in terms of 3D coordinates. High resolutions Digital Terrain Models (DTM) are in use for many applications, including change detection of surfaces. Also the estimation of the snow depth by making use of Airborne Laser Scanning (ALS) data acquired in summer and winter is a subject of current investigations. However estimating snow depth seems problematic in vegetation covered areas. This work focuses on the investigation of the snow depth estimation using snow covered vegetation effect. In this aspect a method based on segmentation filter is proposed for snow depth calculation in vegetation covered area by using ALS data. The method demonstrates the performance of the segmentation filter with respect to the adaptability on the vegetated snow covered area. Additionally the influence of the snow covered biomass on the snow depth model is also investigated.
Subject Keywords
General Earth and Planetary Sciences
URI
https://hdl.handle.net/11511/56981
Journal
JOURNAL OF APPLIED REMOTE SENSING
DOI
https://doi.org/10.1117/1.3127447
Collections
Graduate School of Natural and Applied Sciences, Article
Citation Formats
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BibTeX
Y. F. Vazirabad and M. O. Karslıoğlu, “Airborne laser scanning data for snow covered biomass estimation,”
JOURNAL OF APPLIED REMOTE SENSING
, vol. 3, pp. 0–0, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56981.