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MONITORING OF REINTRODUCED RARE PLANTS USING UAV DATA

Authors :
L. A. Gorodetskaya
A. Y. Denisova
L. M. Kavelenova
A. V. Pomogaybin
I. V. Ruzaeva
V. A. Fedoseev
Source :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1895-1900 (2023)
Publication Year :
2023
Publisher :
Copernicus Publications, 2023.

Abstract

Species reintroduction is one of the most important tasks for biodiversity conservation. In the Samara region, the Department of Ecology, Botany, and Nature Protection of Samara University is constantly working to return rare plants to their natural habitat. Field surveys are carried out to monitor the process of plant development in the natural environment. However, the complex terrain and the special conservation status of the territories, where reintroduction is carried out, require the development of methods for monitoring plants that reduce human contact with the natural environment. As such a method, the article proposes using data from unmanned aerial vehicles (UAVs) in conjunction with the detection of reintroduced plant species using object detection neural networks, namely YOLOv3. The proposed method reduces the anthropogenic impact on the territory during the monitoring process and simplifies plant observations.

Details

Language :
English
ISSN :
16821750 and 21949034
Volume :
XLVIII-1-W2-2023
Database :
Directory of Open Access Journals
Journal :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.8c6f8edd95a4324803a873348e87975
Document Type :
article
Full Text :
https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1895-2023