Coupled Machine Learning and Unmanned Aerial Vehicle Based Hyperspectral Data for Soil moisture Content Estimation

Meiling Tian; Xiangyu Ge; Jianli Ding; Jingzhe Wang; Zhenhua Zhang

doi:10.3788/LOP57.093002

Laser & Optoelectronics Progress, Volume. 57, Issue 9, 093002(2020)

Coupled Machine Learning and Unmanned Aerial Vehicle Based Hyperspectral Data for Soil moisture Content Estimation

Meiling Tian^1,2,3、**, Xiangyu Ge^1,2,3, Jianli Ding^1,2,3、*, Jingzhe Wang^1,2,3, and Zhenhua Zhang^1,2,3

Author Affiliations

¹College of Resource and Environment Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China

²Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang 830046, China

³Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, Xinjiang 830046, China

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Meiling Tian, Xiangyu Ge, Jianli Ding, Jingzhe Wang, Zhenhua Zhang. Coupled Machine Learning and Unmanned Aerial Vehicle Based Hyperspectral Data for Soil moisture Content Estimation[J]. Laser & Optoelectronics Progress, 2020, 57(9): 093002

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Paper Information

Category: Spectroscopy

Received: Sep. 4, 2019

Accepted: Sep. 16, 2019

Published Online: May. 6, 2020

The Author Email: Meiling Tian (tianmeiling_0911@163.com), Jianli Ding (watarid@xju.edu.cn)

DOI:10.3788/LOP57.093002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology