Prediction of low Zn concentrations in soil from mountainous areas of central Yunnan Province using a combination of continuous wavelet transform and Boruta algorithm-Reference-Cited by-同舟云学术

Prediction of low Zn concentrations in soil from mountainous areas of central Yunnan Province using a combination of continuous wavelet transform and Boruta algorithm

Published:2023-08-03 Issue:15 Volume:44 Page:4753-4774
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Zhao Hailong¹^ORCID,Gan Shu¹²^ORCID,Yuan Xiping³,Hu Lin¹,Wang Junjie¹,Liu Shuai¹

Affiliation:

1. Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, China

2. Application Engineering Research Center, Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas Set by Universities in Yunnan Province, Kunming, China

3. Key Laboratory of Mountain Real Scene Point Cloud Data Processing and Application for Universities in Yunnan Province, West Yunnan University of Applied Sciences, Dali, China

Funder

National Natural Science Foundation of China

analysis and testing foundation of Kunming University of Science and Technology

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2237664

Reference56 articles.

1. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis

2. Calibration of Near-Infrared Spectra for Phosphorus Fractions in Grassland Soils on the Tibetan Plateau

3. Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon

4. Estimating heavy metal concentrations in suburban soils with reflectance spectroscopy

5. Estimation of soil copper content based on fractional-order derivative spectroscopy and spectral characteristic band selection

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