Evaluating the Utilization of Unmanned Aerial Vehicles for Afforestation
The use of unmanned aerial vehicles into conservation of wildlife and reforestation initiatives represents a significant breakthrough in the field of environmental science. This integration facilitates the adoption of more effective, accurate, and minimally intrusive approaches for monitoring ecological systems and executing conservation measures. This research examines the diverse functions of drones in improving the efficiency of wildlife conservation and reforestation endeavors, with a specific emphasis on their utilization in monitoring habitats, safeguarding species, and facilitating reforestation activities. Aerial surveys facilitated by drones enable the acquisition of high-resolution imagery and data in expansive and frequently inaccessible regions. This facilitates precise habitat mapping, monitoring of land cover changes, and evaluation of reforestation initiatives. Drones provide a non-invasive method for observing and gathering data on species populations, behaviors, and movements within the field of wildlife conservation. This contributes to enhanced comprehension and the development of protective methods for endangered species. Moreover, drones are transforming seed dispersal procedures in reforestation, enabling the precise planting of numerous seeds across extensive regions, hence improving the effectiveness and expandability of reforestation endeavors. This review paper examines the obstacles and ethical implications linked to the utilization of drones in conservation efforts like afforestation initiatives and issues such as privacy apprehensions, disruption of wildlife, and the necessity for regulating structures. In conclusion, this study highlights the capacity of drone technology to make substantial progress in the objectives of wildlife conservation and reforestation, thereby making a valuable contribution to the wider endeavors of environmental preservation and sustainability.
Authors
- Anil Kumar Dixit (ORCID: https://orcid.org/0000-0003-2855-2475)
- S.C. Saxena (ORCID: https://orcid.org/0000-0002-4780-0609)
- Satyam Sharma
Institutions
- Uttaranchal University (IN)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/iceect61758.2024.10739181
- Citations
- 1
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.21