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

Qingling Bao; Jianli Ding; Jingzhe Wang

doi:10.3788/LOP55.113002

Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 11 >Page 113002 > Article

Laser & Optoelectronics Progress
Vol. 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

Author Affiliations

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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DOI: 10.3788/LOP55.113002 Cite this Article Set citation alerts

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 Copy Citation Text

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