Vegetation Scanning Using LiDAR-Based Drone

Authors

  • Mrs. Divya V Chandran  Assistant Professor, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady, Kerala, India,
  • Anirudh D Pai  UG Scholar, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady, Kerala, India
  • Azad P Thankachan  UG Scholar, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady, Kerala, India
  • Anagha J  UG Scholar, Department of Electronics and Communication Engineering, Adi Shankara Institute of Engineering and Technology, Kalady, Kerala, India

DOI:

https://doi.org//10.32628/CSEIT228145

Keywords:

Vegetation scanning, UTM setup, surveying, LiDAR

Abstract

Vegetation scanning has become fundamental since it gives pivotal data about the applications, including environmental monitoring, biodiversity conservation, agriculture, forestry, urban green infrastructure, and other related fields. Many remote sensing methods can be used to scan vegetation like SAR imaging, Landsat imaging etc. We use a LiDAR-based drone with an UTM setup since it allows fully automated surveying of large areas. Compared with the present LiDAR surveying technology, to survey a critical area, we don’t need to place the way-points in each area manually and manually fly the drone and collect required LiDAR data when we use a LiDAR-based drone with a UTM setup. Our project puts forward the idea of making the LiDAR-based drone with a UTM setup, which can help obtain more accurate 3D images of the area under study, useful for vegetation scanning.

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Published

2022-02-28

Issue

Section

Research Articles

How to Cite

[1]
Mrs. Divya V Chandran, Anirudh D Pai, Azad P Thankachan, Anagha J, " Vegetation Scanning Using LiDAR-Based Drone, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 1, pp.275-286, January-February-2022. Available at doi : https://doi.org/10.32628/CSEIT228145