Literature DB >> 29749161

[Small unmanned aerial vehicles for low-altitude remote sensing and its application progress in ecology.]

Zhong Yu Sun1,2, Yan Qiao Chen1, Long Yang1, Guang Liang Tang1, Shao Xiong Yuan1, Zhi Wen Lin1.   

Abstract

Low-altitude unmanned aerial vehicles (UAV) remote sensing system overcomes the deficiencies of space and aerial remote sensing system in resolution, revisit period, cloud cover and cost, which provides a novel method for ecological research on mesoscale. This study introduced the composition of UAV remote sensing system, reviewed its applications in species, population, community and ecosystem ecology research. Challenges and opportunities of UAV ecology were identified to direct future research. The promising research area of UAV ecology includes the establishment of species morphology and spectral characteristic data base, species automatic identification, the revelation of relationship between spectral index and plant physiological processes, three-dimension monitoring of ecosystem, and the integration of remote sensing data from multi resources and multi scales. With the development of UAV platform, data transformation and sensors, UAV remote sensing technology will have wide application in ecology research.

Entities:  

Keywords:  LiDAR; hyperspectral imager; low-altitude remote sensing; multispectral imager; thermal infrared imager; unmanned aerial vehicles ecology

Mesh:

Year:  2017        PMID: 29749161     DOI: 10.13287/j.1001-9332.201702.030

Source DB:  PubMed          Journal:  Ying Yong Sheng Tai Xue Bao        ISSN: 1001-9332


  1 in total

1.  Identifying the Branch of Kiwifruit Based on Unmanned Aerial Vehicle (UAV) Images Using Deep Learning Method.

Authors:  Zijie Niu; Juntao Deng; Xu Zhang; Jun Zhang; Shijia Pan; Haotian Mu
Journal:  Sensors (Basel)       Date:  2021-06-29       Impact factor: 3.576

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.