Journal
REMOTE SENSING
Volume 14, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/rs14051096
Keywords
unmanned aerial vehicle; remote sensing; grassland ecosystem; applications; review
Categories
Funding
- Key Science and Technology Special Program of Inner Mongolia Autonomous Region [2021ZD0015, 2021ZD0011]
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This paper provides a systematic and comprehensive review of the application of unmanned aerial vehicle (UAV) remote sensing in grassland ecosystem monitoring. It analyzes the application trends, introduces common UAV platforms and remote sensing sensors, reviews the application scenarios, and summarizes the current limitations and future development directions. The results are important for improving the understanding of UAV remote sensing application in grassland ecosystem monitoring and providing a scientific reference for ecological remote sensing research.
In recent years, the application of unmanned aerial vehicle (UAV) remote sensing in grassland ecosystem monitoring has increased, and the application directions have diversified. However, there have been few research reviews specifically for grassland ecosystems at present. Therefore, it is necessary to systematically and comprehensively summarize the application of UAV remote sensing in grassland ecosystem monitoring. In this paper, we first analyzed the application trend of UAV remote sensing in grassland ecosystem monitoring and introduced common UAV platforms and remote sensing sensors. Then, the application scenarios of UAV remote sensing in grassland ecosystem monitoring were reviewed from five aspects: grassland vegetation monitoring, grassland animal surveys, soil physical and chemical monitoring, grassland degradation monitoring and environmental disturbance monitoring. Finally, the current limitations and future development directions were summarized. The results will be helpful to improve the understanding of the application scenarios of UAV remote sensing in grassland ecosystem monitoring and to provide a scientific reference for ecological remote sensing research.
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