4.7 Review

A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China

期刊

REMOTE SENSING
卷 13, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/rs13061221

关键词

low-altitude remote sensing; small UAV; payload; agricultural monitoring; spectral characteristics

资金

  1. Foundation of Suzhou academy of agricultural sciences [8111722]
  2. Suzhou agricultural Science and technology innovation project [SNG2020072]

向作者/读者索取更多资源

Precision agriculture relies on rapid acquisition and analysis of agricultural information. Unmanned aerial vehicle low-altitude remote sensing (UAV-LARS) has significant advantages of high spatial-temporal resolution and strong mobility. UAV-LARS has great potential as a monitoring tool for agriculture, especially in China, where it has demonstrated historical and current applications.
Precision agriculture relies on the rapid acquisition and analysis of agricultural information. An emerging method of agricultural monitoring is unmanned aerial vehicle low-altitude remote sensing (UAV-LARS), which possesses significant advantages of simple construction, strong mobility, and high spatial-temporal resolution with synchronously obtained image and spatial information. UAV-LARS could provide a high degree of overlap between X and Y during key crop growth periods that is currently lacking in satellite and remote sensing data. Simultaneously, UAV-LARS overcomes the limitations such as small scope of ground platform monitoring. Overall, UAV-LARS has demonstrated great potential as a tool for monitoring agriculture at fine- and regional-scales. Here, we systematically summarize the history and current application of UAV-LARS in Chinese agriculture. Specifically, we outline the technical characteristics and sensor payload of the available types of unmanned aerial vehicles and discuss their advantages and limitations. Finally, we provide suggestions for overcoming current limitations of UAV-LARS and directions for future work.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据