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Efficacy of Advanced Remote Sensing (Hyperspectral and LIDAR) in Enhancing Forest Resources Management

Efficacy of Advanced Remote Sensing (Hyperspectral and LIDAR) in Enhancing Forest Resources Management

Laxmikant Shrama, Rajit Gupta, Rajani Kant Verma
Copyright: © 2020 |Pages: 25
ISBN13: 9781799850274|ISBN10: 1799850277|ISBN13 Softcover: 9781799851547|EISBN13: 9781799850281
DOI: 10.4018/978-1-7998-5027-4.ch006
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MLA

Shrama, Laxmikant, et al. "Efficacy of Advanced Remote Sensing (Hyperspectral and LIDAR) in Enhancing Forest Resources Management." Spatial Information Science for Natural Resource Management, edited by Suraj Kumar Singh, et al., IGI Global, 2020, pp. 97-121. https://doi.org/10.4018/978-1-7998-5027-4.ch006

APA

Shrama, L., Gupta, R., & Verma, R. K. (2020). Efficacy of Advanced Remote Sensing (Hyperspectral and LIDAR) in Enhancing Forest Resources Management. In S. Singh, S. Kanga, & V. Mishra (Eds.), Spatial Information Science for Natural Resource Management (pp. 97-121). IGI Global. https://doi.org/10.4018/978-1-7998-5027-4.ch006

Chicago

Shrama, Laxmikant, Rajit Gupta, and Rajani Kant Verma. "Efficacy of Advanced Remote Sensing (Hyperspectral and LIDAR) in Enhancing Forest Resources Management." In Spatial Information Science for Natural Resource Management, edited by Suraj Kumar Singh, Shruti Kanga, and Varun Narayan Mishra, 97-121. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-5027-4.ch006

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Abstract

Sustainable management of natural forest resources is a vital requirement in the changing climatic conditions on Earth. Two advances techniques, hyperspectral remote sensing (HRS) and LIDAR (light detection and ranging) remote sensing (LRS), provide more enhanced and accurate measurements than that of conventional optical remote sensing (ORS). Hyperspectral sensor like AVIRIS, which has hundreds of narrow bands, have advantages over a broadband multispectral sensor. In addition, the fusion of HRS and LRS can play an essential role in assessing biophysical and biochemical variables of forest species. In this chapter, the authors reviewed the extant literature and tried to understand the position of HRS, LRS, and their integration with the machine and deep learning algorithms for the effective monitoring and management of natural forest resources. Further, scopes and challenges are also discussed to enhance the effectiveness of these techniques in natural forest resources management.

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