Investigation on satellite data fusion operation effects on accuracy of forest type classification (Case study: Mazandaran province)

Document Type : Scientific article

Authors

1 Ph.D. student. Islamic Azad University

2 Assis. Prof., Mazandaran University

3 Assis. Prof., Islamic Azad University

Abstract

     The combination of panchromatic band with multispectral data is known as data fusion operation, which increases ground resolution of multispectral data. The results of the application of this method on the accuracy level of forest type classification were investigated. The multispectral data and PAN band from the ETM+ sensors belong to forest district located in "Azarrood" forestry plans in "Savadkooh" were used for the sake of this survey. The bands were controlled according to Radiometric and geometric error separately. Band 1, was omitted because of the existence of radiometric error and its less importance in vegetation cover study. Geometric correction was performed by 22 round control points with DEM, up to orthorectification level, with up precision of least than half pixel. Fusion operation was performed by PC method. The supervised classification was performed with using basic and synthetic bands (ratio, principle Analysis), with maximum likelihood, minimum distance, parallelepiped algorithm. The highest overall accuracy was 34.12% and kappa coefficient 23.15% for separability six vegetation type. The result shows the reduction of data correctness in compare with the result of produced forest type map without fusion. That as the reasons, we can indicated are, selected method type for fusion operation, heterogeneous area. Therefore, the repetition of this operation in another area with using other fusion methods is proposed.
 



 

Keywords

References

- ارزانی، ح.، کینگ، گ. و فورستر، ب.، 1376. کاربرد اطلاعات رقومی ماهواره لندست تی‌ام در تخمین تولید و پوشش گیاهی. مجله منابع طبیعی ایران،50 (1): 21 - 3.
- درویش صفت، ع.ا.، 1377. جزوه درسی سنجش از دور، دانشکده منابع طبیعی، دانشگاه تهران.
- رشیدی، ف.، 1383. بررسی قابلیت داده‌های رقومی سنجندهETM+  در تفکیک تیپهای جنگلی مطالعه موردی در سری گزو (منطقه لفور). پایان‌نامه کارشناسی ارشد، دانشکده منابع طبیعی دانشگاه مازندران. 132 صفحه.
- سپهری، ع. و متقی، م.ر.، 1381. کاربرد شاخص های گیاهی سنجنده تی‌ام در برآورد درصد پوشش گیاهی مراتع حفاظت شده جهان نما-گرگان. مجله منابع طبیعی ایران، 55 (2): 271- 259.
 - فلاح شمسی، س.ر. و درویش صفت، ع.ا.، 1376. برآورد صحت نقشه‌های حاصل از داده‌های ماهواره‌ای به‌روش نمونه‌گیری. پایان‌نامه کارشناسی ارشد، دانشکده منابع طبیعی، دانشگاه تهران، 86 صفحه.        
- Dehghani, M., 2002. Wavelet-based image fusion using "A trous" algorithm, HTTP:// www. Gisdevelopment.net.
- Hung, L.Q., Dinh, N.Q., Batelaan, O., Tam, V.T. and Lagrou, D., 2002. Remote sensing and GIS-based analysis of cave development in the Suoimuoi catchment (Son La –NW Vietnam). Journal of Cave and Karst Studies, 64(1): 23-33.
- Hussin, Y.A., and Shaker, S.R., 1996. Optical and radar satellite image fusion techniques and their applications in monitoring natural resources and land use changes. International Journal of Electronics and Communication, 50(2): 169-176.
- Munechika, C.K., Warnick, J.S., Salvaggio, C. and Schott, J.R., 1993. Resolution enhancement of multispectral image data to improve classification accuracy. Photogrammetric Engineering and Remote Sensing, 59(1): 67-72.
- Pohl, C. and Genderen, J.L., 1998. Multisensor image fusion in remote sensing: concepts, methods and applications. International Journal of Remote Sensing , 19(5): 823-854.
- Robert, A.S., 1987. Techniques for Image Processing and classification. Remote Sensing University of Arizona, Academic Press, New York, 387 p.
- Santosh, P.B. and Yousif, A.H., 2002. Comparison of sub-pixel and Maximum likelihood classification of landsat ETM+ images to detect illegal logging in the tropical rain forest of Berau, east Kalimantan, Indonesia. HTTP://www. gisdevelopment.net
- Shaban, M.A. and Dikshit, O., 2002. Evaluation of the merging of SPOT multispectral and panchromatic data for classification of an urban environment. International Journal of Remote Sensing, 23(2): 249-262.
- Van der Meer, F., 1997. What does multisensor image fusion add in term of information content forvisual interpretation. International Journal of Remote Sensing, 18(2): 445-452.
- Zhang, Y., 1999. A new merging method and its spectral and spatial effects. International Journal of Remote Sensing, 20(10): 2003-2014.
-Zhou, J., Civco, D.L. and Silander, J.A., 1998. A wavelet transform method to merge Landsat TM and SPOT panchromatic data. International Journal of Remote Sensing. 19(4): 743-757.

Files

Share

How to cite

Statistics