Unmanned Aerial Vehicle (UAV) Remote Sensing in Grassland Ecosystem Monitoring: A Systematic Review

被引：62

作者：

Lyu, Xin ^{[1
,2
,3
]}

Li, Xiaobing ^{[1
,2
]}

Dang, Dongliang ^{[1
,2
]}

Dou, Huashun ^{[1
,2
]}

Wang, Kai ^{[1
,2
]}

Lou, Anru ^{[3
]}

机构：

[1] Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing 100875, Peoples R China

[2] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China

[3] Beijing Normal Univ, Coll Life Sci, Beijing 100875, Peoples R China

来源：

REMOTE SENSING | 2022年 / 14卷 / 05期

关键词：

unmanned aerial vehicle; remote sensing; grassland ecosystem; applications; review; SPECIES-DIVERSITY; SOIL-SALINITY; VEGETATION; IMAGERY; NESTS; CONSEQUENCES; RICHNESS; QUALITY; FUSION;

D O I：

10.3390/rs14051096

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页数：19

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