Skip to main content

Advertisement

Log in

Studies on the reflectance spectral features of saline soil along the middle reaches of Tarim River: a case study in Xinjiang Autonomous Region, China

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

There has been growing interest in the use of reflectance spectroscopy as a rapid and inexpensive tool for soil characterization. In this study, 53 soil samples were collected from the oasis in the Weigan and Kuqa River delta along the middle reaches of Tarim River to investigate the level of soil chemical components in relation to soil spectral. An approach combining spectral technology and multi-variant statistical analysis was used to determine the reflectance spectral features of saline soil. The spectral data was first pretreated to remove noises and absorption bands from water, which eliminated influence from instrument errors and other external background factors. Several spectral absorption features were calculated for several saline soil samples to confirm that soil at the same salinity level had similar absorption spectral properties. Secondly, a correlation relationship between reflectance spectra and salinity factors was estimated by bivariate correlation method. Fourteen salinity factors including eight major ions and soil electrical conductivity (EC), soil salt content (SSC), pH, and total dissolved solid (TDS) in the saline soil were evaluated. Datasets of the salinity factors that correlated significantly with field data measurements of reflectance rate and the corresponding spectrum data were used to construct quantitative regression models. According to the multiple linear regression analysis, SSC, SO4 2−, TDS, and EC had a correlation coefficient at 0.746, 0.908, 0.798, and 0.933 with the raw spectral data, respectively, which confirmed strong correlation between salinity factors and soil reflectance spectrum. Findings from this study will have significant impact on characterization of spectral features of saline soil in oasis in arid land.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Ben-dor E, Banin A (1995) Near infrared analysis (NIRA) as a rapid method to simultaneously evaluate several soil properties. Soil Sci Soc Am J 59(2):364–372

    Article  Google Scholar 

  • Ben-dor E, Patkin K, Banin A, Karnieli A (2002) Mapping of several soil properties using DAIS-7915 hyperspectral scanner data—a case study over clayey soils in Israel. Int J Remote Sens 23(6):1043–1062

    Article  Google Scholar 

  • Brown DJ, Shepherd KD, Walsh MG, Dewayne Mays M, Reinsch TG (2006) Global soil characterization with VNIR diffuse reflectance spectroscopy. Geoderma 132(3–4):273–290

    Article  Google Scholar 

  • Chen J, Yang W, Zhang YM, Wang XQ (2008) Spectral Characteristics of Biological Soil Crusts in Gurbantonggut Desert Xinjiang. Spectrosc Spectr Anal 28(1):28–32 (in Chinese)

    Google Scholar 

  • Clark RN (1999) Spectroscopy of rocks and minerals, and principles of spectroscopy. In Manual of Remote Sensing. In: Rencz AN (ed) Remote Sensing for the Earth Sciences, vol 3. Wiley, New York, pp 3–58

    Google Scholar 

  • Clark RN, King TVV, Klejwa M, Swaye GA, Vergo N (1990) High spectral resolution reflectance spectroscopy of minerals. J Geophys Res 95(B8):12653–12680

    Article  Google Scholar 

  • Cloutis EA (1996) Hyperspectral geological remote sensing: evaluation of analytical techniques. Int J Remote Sens 17(12):2215–2242

    Article  Google Scholar 

  • Cohen JA (1960) Coefficient of agreement for nominal scales. Educ Psychol Meas 20:37–46

    Article  Google Scholar 

  • Cooperative Research Group on Chinese Soil Taxonomy (CRGCST) (2001) Chinese Soil Taxonomy. Science Press, Beijing, pp 51–52

    Google Scholar 

  • Crowley JK (1991) Visible and near-infrared (0.4–2.5 mm) reflectance spectra of playa evaporite minerals. J Geophys Res 96:231–240

    Google Scholar 

  • Csillag F, Pásztor L, Biehl LL (1993) Spectral band selection for the characterization of salinity status of soils. Remote Sens Environ 43(3):231–242

    Article  Google Scholar 

  • Dark NA (1995) Reflectance spectra of evaporate minerals (400–2500 nm): application for remote sensing. Int J Remote Sens 16(14):2555–2571

    Article  Google Scholar 

  • Dehaan RL, Taylor GR (2002) Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization. Remote Sens Environ 80(3):406–417

    Article  Google Scholar 

  • Dunn BW, Beecher HG, Batten GD, Ciavarella S (2002) The potential of near-infrared reflectance spectroscopy for soil analysis—a case study from the Riverine Plain of south-eastern. Aust J Exp Agric 42(5):607–614

    Article  Google Scholar 

  • Eynard A, Lal R, Wiebe K (2006) Salt-affected soils. In: Lal R (ed) Encyclopedia of Soil Science, second edition, vol 2. Taylor & Francis Group, New York, pp 1538–1541

  • Fan YG, Hou CL, Zhu H, Wu TT, Sun YF (2010) Research on Salinity Inversion from Remote Sensing of Saline Soil Based on BP Neural Network. Geogr Geo-Inf Sci 26(6):24–28 (in Chinese)

    Google Scholar 

  • Gaffey SJ (1987) Spectral reflectance of carbonate minerals in the visible and near infrared (0.35–2.55 mm): anhydrous carbonate minerals. J Geophys Res 92(B2):1429–1440

    Article  Google Scholar 

  • Ghassemi F, Jakeman AJ, Nix HA (1995) Salinisation of Land and Water Resources: Human Causes, Extent, Management and Case Studies. The Australian National University/CAB International, Canberra

    Google Scholar 

  • Goetz AFH, Vane G, Solomon JE, Rock BN (1985) Imaging spectroscopy for earth remote sensing. Science 228(4704):1147–1153

    Article  Google Scholar 

  • Guan YX, Liu GH (2001) A review of regional soil salinization monitoring by remote sensing. Remote Sens Technol Appl 16(1):40–44 (in Chinese)

    Google Scholar 

  • Hodgson JM (1976) Soil Survey Field Handbook. Technical Monograph, vol. 5. Oil Survey of England and Wales, Harpenden

  • Howari FM (2004) Chemical and environmental implications of visible and near-infrared spectral features of salt crusts formed from different brines. Anal Chim 94(4):315–323

    Google Scholar 

  • Howari FM, Goodell PC, Miyamoto S (2002) Spectral properties of salt crusts formed on saline soils. J Environ Quality 31(5):1453–1461

    Article  Google Scholar 

  • Hu SJ, Song YD, Tian CY, Li YT, Li XC, Chen XB (2006) Proper scale of Weigan River plain oasis. Sci China Ser D Earth Sci 36(Supl):51–57 (in Chinese)

    Google Scholar 

  • Huang LS, Townshend J (2002) An assessment of support vector machines for land cover classification. Int J Remote Sens 23(4):725–749

    Article  Google Scholar 

  • Karavanova EI, Shrestha DP, Orlov DS (2001) Application of remote sensing techniques for the study of soil salinity in semi-arid Uzbekistan[A]. In: Bridges EM, Hannam ID, Oldeman LR et al. Response to Land Degradation[C]. Oxford and IBH Publishing Co. Pvt. Ltd, New Delhi, India

  • Keuchel J, Naumann S, Heiler M (2003) Automatic land cover analysis for Tenerife by supervised classification using remotely sensed data. Remote Sens Environ 86(4):530–541

    Google Scholar 

  • Leone AP, Sommer S (2000) Multivariate analysis of laboratory spectra for the assessment of soil development and soil degradation in the southern Apennines (Italy). Remote Sens Environ 72(3):346–359

    Article  Google Scholar 

  • Li N, Wu L, Wang SM, Xia J, Zhu HW (2011) Analysis on relationships between soil salinization and spectra in Manas River Valley. Acta Agriculturae Universitatis Jiangxiensis 33(6):1242–1247 (in Chinese)

    Google Scholar 

  • Li XG, Li HP, Ren YX, Li HZ, Luo XQ (2012) Analysis on the characteristics of the oasis soil salinization and soil spectrum in the lower reaches of Kaidu River Basin, Xinjiang. Chin J Soil Sci 43(1):166–170 (in Chinese)

    Google Scholar 

  • Liu WD (2002).Study on extraction of soil information and data mining by hyperspectral remote sensing, Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing (Doctor’s Paper) (in Chinese)

  • Liu CS, Tiyip T, Ding JL (2003) Land cover Change of YuTian Oasis Based on Remote Sensing and GIS. J Desert Res 23(1):59–63 (in Chinese)

    Google Scholar 

  • Liu WD, Baret F, Zhang B, Tong QX, Zheng LF (2004a) Using hyperspectral data to estimate soil surface moisture under experimental conditions. J Remote Sens 8(5):434–442 (in Chinese)

    Google Scholar 

  • Liu QS, Liu GH, Li HG (2004b) Preliminary study on relationships between soil salinity and above vegetation field-derived spectra in Liaohe River Delta, Liaoning Province, China. Chin Agric Sci Bull 20(4):274–278 (in Chinese)

    Google Scholar 

  • Lo P, Choi J (2004) A hybrid approach to urban land use/cover mapping using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images. Int J Remote Sens 25(14):2687–2700

    Article  Google Scholar 

  • Ma N, Yang L, Li JL (2008) Study on hyperspectral distinction of soil salinity: a case study of Yanqi, Xin jiang Province. J Arid Land Resour Environ 22(2):114–117 (in Chinese)

    Google Scholar 

  • Metternicht G, Zinck JA (1997) Spatial discrimination of salt- and sodium-affected soil surfaces. Int J Remote Sens 18(12):2571–2586

    Article  Google Scholar 

  • Metternicht G, Zinck JA (2003) Remote sensing of soil salinity: potentials and constraints. Remote Sens Environ 85(1):1–20

    Article  Google Scholar 

  • Mougenot B, Epema GF, Pouget M (1993) Remote sensing of salt-affected soils. Remote Sens Rev 7(3–4):241–259

    Article  Google Scholar 

  • Pal M, Mather PM (2003) An assessment of the effectiveness of decision tree methods for land cover classification. Remote Sens Environ 86(4):554–565

    Article  Google Scholar 

  • Palcios-orueta A, Ustin SL (1998) Remote sensing of soil properties in the Santa Monica Mountains I. spectral analysis. Remote Sens Environ 65(2):170–183

    Article  Google Scholar 

  • Pradhan B, Sulaiman Z (2009) Land cover mapping and spectral analysis using multi-sensor satellite data: a case study in Tioman Island, Malaysia. J Geomat 3:71–78

    Google Scholar 

  • Pu Z (2010) Quantitive retrieval of saline soil salt content in arid region using Hyperspectral Data: take the Sanggong River Watershed as a case. Xinjiang Institute of Ecology and Geography Chinese academy of Sciences, Xinjiang (Doctor’s Paper) (in Chinese)

  • Pu RL, Gong P (2003) Hyperspectral Remote Sensing and its Applications. Higher Education Press, Beijing, 53 (in Chinese)

  • Rao BRM, Ravisankar T, Dwivedi RS, Thammappa SS, Venkataratnam L (1995) Spectral behaviour of salt-affected soils. Int J Remote Sens 16(12):2125–2136

    Article  Google Scholar 

  • Schoeneberger PJ, Wysocki DA, Benham EC, Broderson WD (eds) (2002) Field Book for Describing and Sampling Soil, Version 2.0. Natural Resources Conservation Service. National Soil Survey Center, Lincoln, NE, 2–30

  • Sheng JD, Ma LC, Jiang PA, Li BG, Huang F, Wu HQ (2010) Digital soil mapping to enable classification of the salt-affected soils in desert agro-ecological zones. Agric Water Manag 97(12):1944–1951

    Article  Google Scholar 

  • Shepherd KD, Walsh MG (2002) Development of reflectance spectral libraries for characterization of soil properties. Soil Sci Soc Am J 66(3):988–998

    Article  Google Scholar 

  • Shrestha DP, Margate DE, Van der Meer F, Anh HV (2005) Analysis and classification of hyperspectral data for mapping land degradation: an application in southern Spain. Int J Appl Earth Obs Geoinf 7(2):85–96

    Article  Google Scholar 

  • Soil Survey Staff of Xinjiang (1996) Soil of Xin Jiang Province. Science Press, Beijing, 52 (in Chinese)

  • Su HJ, Du PJ, Sheng YH (2008) Study of feature extraction and experiment of hyperspectral data. Appl Res Comput 25(2):390–394 (in Chinese)

    Google Scholar 

  • Wang JN, Zheng LF, Tong QX (1996) The spectral absorption identification model and mineral mapping by imaging spectrometer data. Remote Sens Environ 11(1):20–31

    Google Scholar 

  • Wang JN, Zhang B, Liu JG, Tong QX, Zheng LF (1999) Hyperspectral Data Mining-Toward Target Recognition and Classification. J Imag Graphics 4(11):957–964 (in Chinese)

    Google Scholar 

  • Wang H, Tiyip T, Xie X, Fan YH, Zhang F, Sawut M (2011) Assessment of soil salinization sensitivity for different types of land use in the Ebinur Lake Region in Xinjiang. Prog Geogr 30(5):593–599 (in Chinese)

    Google Scholar 

  • Weng YL, Qi HP, Fang HB, Zhao FY, Lu YG (2010) PLSR-based hyperspectral remote sensing retrieval of soil salinity of Chaka-Gonghe basin in Qinghai Province. Acta Pedol Sin 47(6):1255–1263 (in Chinese)

    Google Scholar 

  • Xi JB, Zhang FS, Mao DR, Tian CY, Song YM, Liu DX (2005) Saline-soil distribution and halophyte resources in Xinjiang. Chin J Soil Sci 36(3):299–303 (in Chinese)

    Google Scholar 

  • Xu WD, Yin Q, Kuang DB (2005) Comparison of different spectral match models. J Infrared Millim Waves 24(4):296–300 (in Chinese)

    Google Scholar 

  • Zhang F, Tashpolat T, Ding JL, Jiang HN, Ha XP, Tian Y (2009) Correspondence analysis of relationship between characteristics and spectral of soil salinization. Acta Pedol Sin 46(3):513–519 (in Chinese)

    Google Scholar 

  • Zhang F, Xiong HG, Luan FM, Lu WJ (2011) Characteristics of field-measured spectral response to alkalinization soil. J Infrared Millim Waves 30(1):55–60 (in Chinese)

    Article  Google Scholar 

  • Zhou P, Wang RS, Yan BK, Yang SM, Wang QH (2008) Extraction of soil organic matter information by hyperspectral remote sensing. Prog Geogr 27(5):27–34 (in Chinese)

    Google Scholar 

Download references

Acknowledgments

The authors are grateful for the financial support provided by the National Key Program for Developing Basic Research Science (2009CB421302), the Chinese National Natural Science Foundation (40961025 and 40901163), the Open Foundation of State Key Laboratory of Resources and Environment Information Systems (2010KF0003SA), PhD Graduates in the Scientific Research Foundation (BS110125), Xinjiang Natural Science Foundation for Young Scholars (2012211B04), Autonomous Region of University Scientific Research of cultivation of young scientific research fund project (XJEDU2012S03). The authors wish to thank the referees for providing helpful suggestions to improve this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fei Zhang.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 466 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, F., Tiyip, T., Ding, J. et al. Studies on the reflectance spectral features of saline soil along the middle reaches of Tarim River: a case study in Xinjiang Autonomous Region, China. Environ Earth Sci 69, 2743–2761 (2013). https://doi.org/10.1007/s12665-012-2096-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12665-012-2096-y

Keywords

Navigation