Nowadays, a remote sensing of forests is represented by three conventional types of shooting, such as the spaceborne, airborne, and terrestrial. Recently additional studies, such as the Unmanned Airborne Vehicles (UAVs) laser scanning including nano-UAV, micro-UAV, and mini-UAV (as a part of the airborne laser scanning) and the mobile laser scanning and hand-held mobile laser scanning (as a part of the terrestrial laser scanning), became available. Each type has own purposes and pros and cons. A fusion of such scaled data in a single software tool is the innovative task with a promising future. However, a process of fusion is not trivial because of different scale representation of data. Also, a wide coverage of areas leads to difficulties in the big data processing. The material of the book is mainly based on the airborne and terrestrial algorithms.
CITATION STYLE
Favorskaya, M. N., & Jain, L. C. (2017). Innovations in remote sensing of forests. In Intelligent Systems Reference Library (Vol. 122, pp. 1–15). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-52308-8_1
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