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Cites:

1

Information Journal Paper

Title

STUDY OF SPECTRAL SEPARABILITY OF LUT DESERT CLASSES BASED ON REMOTELY SENSED DATA

Pages

  2-2

Abstract

 Lut DESERT is the driest DESERT of Iran located in the southeastern Part of the country. The most interesting existing features of Central LUT are «Yadangs». In this research, Landsat TM data were used to study the spectral signatures of YARDANG region and to identify the facets of LUT DESERT. Index Factor and Optimum Index Factor were also used to study statistical parameters. The spectral seperability of INFORMATION CLASSes was also determined using normalized differences of means of classes; then the classified images were assessed by the obtained error matrix. Finally, the best BAND combinations was introduced by the obtained results. We concluded remotely sensed data are useful in detection of LUT DESERT features by applying a suitable methodology.

Cites

References

Cite

APA: Copy

KOMAKI, CH.B., & ALAVIPANAH, S.K.. (2006). STUDY OF SPECTRAL SEPARABILITY OF LUT DESERT CLASSES BASED ON REMOTELY SENSED DATA . GEOGRAPHICAL RESEARCH QUARTERLY, 37(54), 2-2. SID. https://sid.ir/paper/376513/en

Vancouver: Copy

KOMAKI CH.B., ALAVIPANAH S.K.. STUDY OF SPECTRAL SEPARABILITY OF LUT DESERT CLASSES BASED ON REMOTELY SENSED DATA . GEOGRAPHICAL RESEARCH QUARTERLY[Internet]. 2006;37(54):2-2. Available from: https://sid.ir/paper/376513/en

IEEE: Copy

CH.B. KOMAKI, and S.K. ALAVIPANAH, “STUDY OF SPECTRAL SEPARABILITY OF LUT DESERT CLASSES BASED ON REMOTELY SENSED DATA ,” GEOGRAPHICAL RESEARCH QUARTERLY, vol. 37, no. 54, pp. 2–2, 2006, [Online]. Available: https://sid.ir/paper/376513/en

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