Airborne laser scanning data for snow covered biomass estimation

Date

2009-04-13

Author

Vazirabad, Yashar Fallah
Karslıoğlu, Mahmut Onur

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This work is licensed under a 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

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Citation Formats

Y. F. Vazirabad and M. O. Karslıoğlu, “Airborne laser scanning data for snow covered biomass estimation,” JOURNAL OF APPLIED REMOTE SENSING, pp. 0–0, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56981.