Skip to main content
Springer Nature Link
Log in

Use of Spectral Reflectance for Sensitive Waveband Determination for Soil Contents

  • Conference paper
  • First Online:
Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1037))

  • 1112 Accesses

Abstract

In this paper we present the study of soil reflectance for organic matter content in soil based on their spectral signatures. We present the study of soil reflectance obtained from ASD Field spec spectrometer in the wavelength range 350–2500 nm. These values of reflectance are used to find the organic matter content in soil. Spectral curves of 8 soil samples are studied which are collected from Maharashtra state of India. Correlation between the spectral reflectance values of soil and the values obtained from chemical analysis in laboratory of soil contents is carried out. The predictions are carried out using the correlation coefficient. The content of soil organic matter in the soil samples is predicted for the wavelengths from 1801 to 1872 nm.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Rozeinstein, O., Kagan, T.P., Salbach, C., Karneili, A.: Comparing the effect of preprocessing transformations on methods of land use classification derived from spectral soil measurements. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 8(6), 2393–2404 (2015)

    Google Scholar 

  2. Dinakaran, J., Bidalia, A., Kumar, A., Hanief, M., Meena, A., Rao, K.S.: Near infrared-spectroscopy for determination of carbon and nitrogen in Indian soils. Commun. Soil Sci. Plant Anal. 47, 1503–1516 (2016). ISSN: 0010–3624 (Print) 1532–2416 (Online)

    Article  Google Scholar 

  3. Cheng, C.-W., Laird, D.A., Mausbach, M.J., Hurburgh, C.R.: Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties. Soil Sci. Soc. Am. J. 65, 480–490 (2001)

    Article  Google Scholar 

  4. Gmur, S., Vogt, D., Zabowski, D., Monika Moskal, L.: Hyperspectral analysis of soil nitrogen, carbon, carbonate, and organic matter using regression trees. Sensors 12, 10639–10658 (2012)

    Article  Google Scholar 

  5. Ben-Dor, E., Patkin, K., Banin, A., Karnieli, A.: Mapping of several soil properties using DAIS-7915 hyperspectral scanner data-a case study over clayey soils in Israel. Int. J. Remote Sens. 23, 1043–1062 (2002). ISSN 0143–1161 print/ISSN 1366–590 1 online 2002 Taylor and Francis Ltd

    Article  Google Scholar 

  6. Kadupitiya, H.K., Sahoo, R.N., Ray, S.S., Chopra, U.K., Chakraborty, D., Ahmed, N.: Quantitative assessment of soil chemical properties using visible (VIS) and Near Infrared (NIR) Proximal Hyperspectral data. In: Tropical Agriculturist 2010, vol. 158, pp. 41–60 (2010)

    Google Scholar 

  7. Dalal, R.C., Henry, R.J.: Simultaneous determination of moisture, organic carbon, and total nitrogen by near infrared reflectance spectrophotometry. Soil Sci. Soc. Am. J. 50, 120–123 (1986)

    Article  Google Scholar 

  8. Brown, D.J., Shepherd, K.D., Walsh, M.G., Dewayne Mays, M., Reinsch, T.G.: Global soil characterization with VNIR diffuse reflectance spectroscopy. Geoderma 132, 273–290 (2006)

    Article  Google Scholar 

  9. He, T., Wang, J., Lin, Z., Cheng, Y.: Study on spectral features of soil organic matter. Int. Arch. Photogrammetry Remote Sens. Spatial Inf. Sci. J. XXXVII, Part B7 Beijing (2008)

    Google Scholar 

  10. Csorba, A., et al.: Identification of soil classification units from VIS-NIR spectral signature. In: 20th World Congress of Soil Science (2014)

    Google Scholar 

  11. Li, R., Kono, Y., Liu, J., Peng, M., Raghavan, V., Song, X.: Soil organic matter mapping with fuzzy logic and GIS. In: International Geoscience and Remote Sensing Symposium. IEEE (2012)

    Google Scholar 

  12. Pinheiro, E.F.M., Ceddia, M.B., Clingensmith, C.M., Grunwald, S., Vasques, G.M.: Prediction of soil physical and chemical properties by visible and near-infrared diffuse reflectance spectroscopy in the central amazon. Remote Sens. 9, 293 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Government College of Engineering, Aurangabad, India

    Chitra M. Gaikwad

  2. PES Engineering College, Aurangabad, India

    Sangeeta N. Kakarwal

Authors
  1. Chitra M. Gaikwad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sangeeta N. Kakarwal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Chitra M. Gaikwad or Sangeeta N. Kakarwal .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gaikwad, C.M., Kakarwal, S.N. (2019). Use of Spectral Reflectance for Sensitive Waveband Determination for Soil Contents. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_28

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-9187-3_28

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9186-6

  • Online ISBN: 978-981-13-9187-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics