مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

1,023
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

1

Information Journal Paper

Title

STUDY ON THE POTENTIAL OF ETM+ SPECTRAL DATA IN ASSESSING SOIL SURFACE ORGANIC MATTER CASE STUDY A PART OF RANGELANDS OF MEHR WATERSHED, SABZEVAR, IRAN

Pages

  67-78

Keywords

SOIL SURFACE ORGANIC MATTER (SSOM)Q3
ETM++Q3

Abstract

 Measurement of surface organic matter (SOM) and its mapping by traditional methods is so expensive and time consuming.Assessing the potential and efficiency of remote sensing techniques for SOM can solve these problems. In this study the relationship between soil SPECTRAL REFLECTANCE (17 spectral bands such as original bands of Landsat Enhanced Thematic Mapper plus ETM++, ratio bands and principal component analysis) and soil organic matter contents for 94 samples was investigated in rangelands of Mehr, Sabzevar, Iran. The samples were gathered using GPS from a random nested-systematic network. The rate of organic matter for each sample was estimated at the soil laboratory using wet oxidation method. The ETM++data were orthorectified to omit the relief displacement errors using ground control points and digital elevation model with RMSe less than 10 meters. In addition to main bands, some suitable image processing such as vegetation and soil indices, rationing transformations, tasseled cap and PCA analysis were applied to produce arithmetic bands.The spectral number of each sample on the different bands was extracted and correlation between OM and spectral numbers was investigated. The results showed that there was significant relationship between greenness, moistness DVI, NDVI and SAVI against SOM (a=0.05). Multiple and stepwise regression models with excluding and including outliers (3Sd, 0.05, 0.01) were used to select the best fitted models. The results showed that there was no significant model in multiple regression model (a=0.01 and 0.05). But, the best fitted stepwise models in two cases of outliers were significant (a=0.01 and 0.05). The shortest variables between studied models were belonging to Stepwise models. This study showed that remote sensing data have relatively capability to estimate the soil organic matters in the study area.

Cites

References

Cite

APA: Copy

SHATAEE, SHABAN, HOSSEIN ALI ZADEH, M., & AYOUBI, SHAMSOULLAH. (2007). STUDY ON THE POTENTIAL OF ETM+ SPECTRAL DATA IN ASSESSING SOIL SURFACE ORGANIC MATTER CASE STUDY A PART OF RANGELANDS OF MEHR WATERSHED, SABZEVAR, IRAN. RANGELAND, 1(1), 67-78. SID. https://sid.ir/paper/136329/en

Vancouver: Copy

SHATAEE SHABAN, HOSSEIN ALI ZADEH M., AYOUBI SHAMSOULLAH. STUDY ON THE POTENTIAL OF ETM+ SPECTRAL DATA IN ASSESSING SOIL SURFACE ORGANIC MATTER CASE STUDY A PART OF RANGELANDS OF MEHR WATERSHED, SABZEVAR, IRAN. RANGELAND[Internet]. 2007;1(1):67-78. Available from: https://sid.ir/paper/136329/en

IEEE: Copy

SHABAN SHATAEE, M. HOSSEIN ALI ZADEH, and SHAMSOULLAH AYOUBI, “STUDY ON THE POTENTIAL OF ETM+ SPECTRAL DATA IN ASSESSING SOIL SURFACE ORGANIC MATTER CASE STUDY A PART OF RANGELANDS OF MEHR WATERSHED, SABZEVAR, IRAN,” RANGELAND, vol. 1, no. 1, pp. 67–78, 2007, [Online]. Available: https://sid.ir/paper/136329/en

Related Journal Papers

Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops





    Move to top