EXPLORE THE CHARACTER OF SOIL SPECTRAL REFLECTANCE RELATE TO THE SOIL ORGANIC MATTER CONTENT

Authors

  • Sari Virgawati Univ. Pembangunan Nasional "Veteran" Yogyakarta http://orcid.org/0000-0003-0525-1653
  • Muhjidin Mawardi Dept. of Agricultural and Biosystem Engineering, UGM, Yogyakarta, Indonesia
  • Lilik Sutiarso Dept. of Agricultural and Biosystem Engineering, UGM, Yogyakarta, Indonesia
  • Sakae Shibusawa Dept. of Environmental and Agricultural Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
  • Hendrik Segah Dept. of Forestry, Faculty of Agriculture, UPR, Palangka Raya
  • Masakazu Kodaira Dept. of Environmental and Agricultural Engineering, TUAT, Tokyo, Japan

DOI:

https://doi.org/10.23960/jtep-l.v8i3.214-223

Abstract

ABSTRACT

The visible and near-infrared (Vis-NIR) diffuse reflectance spectroscopy has emerged as a rapid and low-cost tool for extensive investigation of soil properties. The objective of this research was to explore how significant the relationship between the soil spectral reflectance and soil organic matter (SOM) content. Some soil samples in Yogyakarta were taken for SOM content and spectroscopy measurement. The SOM was analyzed using Walkley and Black method, while the spectral reflectance was determined using ASD Field-spectrophotometer by scanned the sample with Vis-NIR spectrum. Pearsons coefficient showed that there was a strong negative correlation between SOM and soil spectral of certain wavelengths. Soil with less organic matter content performed high reflectance.

Keywords: Soil organic matter; Vis-NIR spectroscopy; soil reflectance; Pearsons correlation coefficient.

Author Biography

  • Sari Virgawati, Univ. Pembangunan Nasional "Veteran" Yogyakarta

    Lecturer at Soil Science Department

    Fac. of Agriculture, UPN "Veteran" Yogyakarta

     

References

Adamchuk, V.I., B.A. Allred, and R.A. Viscarra Rossel. 2012. Proximal Soil Sensing: Global Perspective. FastTimes. Vol.17: 1. Electronic document www.eegs.org.

Adamchuk, V.I., B. Allred, J. Doolittle, K. Grote, and R.A. Viscarra Rossel. 2015. Tools for Proximal Soil Sensing. In USDA Handbook 18: Soil Survey Manual.

BBSDLP (Indonesian Center for Agric. Land Resources R & D). 2016. Digital map of Nglipar and Dlingo soil scale 1:250,000, Bogor.

Bot, A. and J. Benites. 2005. The importance of soil organic matter. FAO Soil Bulletin 80, Rome.

Christy, C.D. 2008. Real-time Measurement of Soil Attributes Using On-the-go Near-Infrared Reflectance Spectroscopy. Comp. and Elec. in Agric. Vol.61: 10-19.

Conforti, M, R. Froio, G. Matteucci, and G. Buttafuoco, 2015. Visible and Near-Infrared Spectroscopy for Predicting Texture in Forest Soils: An Application in Southern Italy. iForest. Vol. 8: 339-347 URL:http://www.sisef.it/iforest/contents/.

Hedley, C. and P. Roudier. 2010. Proximal Soil Spectroscopy for Soil C Estimation and Mapping. http://www.landcareresearch.co.nz/publications/ newsletters/soil/issue-19/proximal-soil-spectroscopy.

Islam, K., B. Singh, and A. McBratney. 2003. Simultaneous Estimation of Several Soil Properties by Ultra-Violet, Visible, and Near-Infrared Reflectance Spectroscopy. Australian Journal of Soil Research 41 (6): 1101–1114.

Lin, L., Y. Wang, J. Teng, and X. Xi. 2015. Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using the Local Correlation Maximization-Complementary Superiority (LCMCS) Method. Sensors (Basel). Vol. 15 (8): 17990–18011. DOI: 10.3390/s150817990.

Rossel, R.A.V., V.I. Adamchuk, K.A. Sudduth, N.J. McKenzie, and C. Lobsey. 2011. Proximal Soil Sensing: An Effective Approach for Soil Measurements in Space and Time. Adv. in Agronomy.Vol. 113: 237-282.

Rossel, R.A.V., J. Bouma. 2016. Soil Sensing: A New Paradigm for Agriculture. Agricultural Systems 148: 71-74.

Sarwono, J. 2006. Metode Penelitian Kuantitatif dan Kualitatif. Graha Ilmu. Yogyakarta.

Sigmund, M. 2005. Introduction to Remote Sensing. https://seos-project.eu/ remotesensing/remotesensing-c01-p05.html.

Stenberg, B., R.A.V. Rossel, A.M. Mouazen, and J. Wetterlind, 2010. Visible and Near-Infrared Spectroscopy in Soil Science. In Donald L. Sparks, editor: Advances in Agronomy Vol. 107: 163-215. Burlington: Academic Press. http://dP.doi.org/ 10.1016/S0065-2113(10)07005-7.

Todd, S.W., and R.M. Hoffer, 1998. Responses of Spectral Indices to Variations in Vegetation Cover and Soil Background. Photogrammetric Engineering & Remote Sensing, Vol. 64, (9): 915-921.

Yin, Z., T. Lei, Q. Yan, Z. Chen, and Y. Dong. 2013. A near-infrared reflectance sensor for soil surface moisture measurement Comp. Electr. in Agric. 99 101–107

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Published

2019-09-30

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