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Handbook on Advances in Remote Sensing and Geographic Information Systems pp 111–137Cite as

Data Fusion for Evaluation of Woodland Parameters

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 122))

Abstract

The airborne shooting provides different types of information including the Light Detection And Ranging (LiDAR) data, hyperspectral/multispectral/digital photography shooting data, and additional information about parameters of a shooting. The proposed generalized flowchart for data fusion of the airborne laser scanning, imaging spectroscopy, and imaging photography involves three levels of processing, i.e., a preprocessing level, a level of canopy modelling and evaluation, and a level of segmentation of individual trees, including the measurements and computation of indirect parameters. Data fusion promotes the accurate direct and indirect measurements. However, difficulties of image stitching because of the parallax effect lead to the distortions between the ground truth 3D LiDAR coordinates and 2D coordinates in imagery. The proposed method for fusion of the LiDAR and digital photography data provides an accurate segmentation of individual tree crowns in order to receive the reliable biomass measurements. The boundaries and textures were improved in optical images by application of shearlets and higher-order active contour model. This permits to evaluate tree crowns in a plane more accurately. The obtained area measurements of the tree crowns are promising and coincide with the expert estimations, providing the accuracy 92–96%.

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Authors and Affiliations

  1. Institute of Informatics and Telecommunications, Siberian State Aerospace University, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, UK

    Lakhmi C. Jain

  4. KES International, Leeds, West Yorkshire, UK

    Lakhmi C. Jain

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  1. Margarita N. Favorskaya
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Correspondence to Lakhmi C. Jain .

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Favorskaya, M.N., Jain, L.C. (2017). Data Fusion for Evaluation of Woodland Parameters. In: Handbook on Advances in Remote Sensing and Geographic Information Systems. Intelligent Systems Reference Library, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-319-52308-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-52308-8_4

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