Prediction of Soil Moisture Content by Selecting Spectral Characteristics Using Random Forest Method

Qingling Bao; Jianli Ding; Jingzhe Wang

doi:10.3788/LOP55.113002

Laser & Optoelectronics Progress, Volume. 55, Issue 11, 113002(2018)

Prediction of Soil Moisture Content by Selecting Spectral Characteristics Using Random Forest Method

Qingling Bao^1,2, Jianli Ding^1,2、*, and Jingzhe Wang^1,2

¹ Key Laboratory of Wisdom City and Environmental Modeling, College of Resource and Environment Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China

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

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Qingling Bao, Jianli Ding, Jingzhe Wang. Prediction of Soil Moisture Content by Selecting Spectral Characteristics Using Random Forest Method[J]. Laser & Optoelectronics Progress, 2018, 55(11): 113002

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Paper Information

Category: Spectroscopy

Received: Mar. 23, 2018

Accepted: May. 15, 2018

Published Online: Aug. 14, 2019

The Author Email: Jianli Ding (watarid@xju.edu.cn)

DOI:10.3788/LOP55.113002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology