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

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 9 >Page 093002 > Article

Laser & Optoelectronics Progress
Vol. 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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DOI: 10.3788/LOP57.093002 Cite this Article Set citation alerts

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 Copy Citation Text

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