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Estimation of Soil Organic Matter Content Based on Regional Feature Bands

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1075))

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Abstract

To estimate soil organic matter (SOM) content using hyper-spectral data, regional feature bands and principle component regression (PCR) were built a model of SOM. The results showed that the coefficients of determination (R2) of PCR model based on the regional feature bands were 0.650 for calibration set and 0.628 for validation set, respectively. The Root Mean Square Error (RMSE) values were 2.641 g/kg and 2.852 g/kg, respectively. The PCR models based on the significant bands had better estimation accuracy, but its total correlation coefficient(R = 0.770) between predicted SOM and measured SOM was lower than of model based on the regional feature bands (R = 0.803). Therefore, the PCR model based on regional feature bands provides a better estimation result than model based on significant bands.

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Acknowledgement

This work was supported by Fundamental Research Funds for the Central Universities (No.XDJK2016C083), Chongqing Research Program of Basic Research and Frontier Technology (No. cstc2016jcyjA0184) and National Natural Science Foundation of China (No. 41671291).

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Authors and Affiliations

  1. College of Resources and Environment, Southwest University, Chongqing, 400716, China

    Lihua Xu & Deti Xie

Authors
  1. Lihua Xu
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  2. Deti Xie
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Corresponding author

Correspondence to Lihua Xu .

Editor information

Editors and Affiliations

  1. The University of Aizu, Aizuwakamatsu, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Xu, L., Xie, D. (2020). Estimation of Soil Organic Matter Content Based on Regional Feature Bands. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_116

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