Hyperspectral response and monitoring study of soil moisture content based on the optimized spectral index

Author:

Yan Xiaobin1,Qiao Xingxing1ORCID,Yang Sha1,Feng Meichen1,Song Xiaoyan1,Zhang Meijun1,Xiao Lujie1,Zhang Zhou2,Shafiq Fahad34,Yang Wude1ORCID,Wang Chao1

Affiliation:

1. College of Agriculture Shanxi Agricultural University Jinzhong China

2. Biological Systems Engineering University of Wisconsin‐Madison Madison Wisconsin USA

3. Institute of Molecular Biology and Biotechnology The University of Lahore Lahore Pakistan

4. Department of Plant Sciences University of Cambridge Cambridge UK

Publisher

Wiley

Subject

Soil Science

Reference39 articles.

1. The use of in situ volumetric water content at field capacity to improve the prediction of soil water retention properties

2. A local pre-processing method for near-infrared spectra, combined with spectral segmentation and standard normal variate transformation

3. Prediction for soil water content based on variable preferred and extreme learning machine algorithm;Cai L. H.;Spectroscopy and Spectral Analysis,2018

4. Estimation of Soil Moisture Content from the Spectral Reflectance of Bare Soils in the 0.4–2.5 µm Domain

5. A new method for predicting soil moisture based on UAV hyperspectral image;Ge X. Y.;Spectroscopy and Spectral Analysis,2020

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