ACCURACY ASSESSMENT OF SUPERVISED CLASSIFICATION METHODS FOR LANDUSE AND COVER MAPPING

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MASOUDI MASOUD; ALAVIPANAH S.K.; NEJABAT MASOUD

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH Year:2001 | Volume:- | Issue:5 Page(s): 123-141

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Information Journal Paper

Title

ACCURACY ASSESSMENT OF SUPERVISED CLASSIFICATION METHODS FOR LANDUSE AND COVER MAPPING

Author(s)

MASOUDI MASOUD | ALAVIPANAH S.K. | NEJABAT MASOUD | Issue Writer Certificate

Keywords

LANDUSEQ4

TM DATAQ4

MAXIMUM LIKELIHOODQ3

BOX CLASSIFICATIONQ4

K-NEAREST NEIGHBOURQ4

GISQ2

Abstract

Nowadays, satellite data are considered as one of the most important sources for production of LANDUSE/cover maps. Several digital classification methods have been applied and evaluation and comparison of the methods for classification has a great degree of importance tasks. In this research, some classification methods, e.g. K-NEAREST NEIGHBOUR, MAXIMUM LIKELIHOOD and BOX CLASSIFICATION were used for evaluating land use maps in Kavar area which is located in the south of Shiraz. Also, the GIS were applied in this research for correcting the wrong pixels of some classes. Evaluations of the accuracy were performed using over-all accuracy and KAPPA index which are based on analysis of error matrix. According to these results, the over-all accuracy for MAXIMUM LIKELIHOOD, K-NEAREST NEIGHBOUR and BOX CLASSIFICATION has been reached to 94.7, 61.7 and 60.4 percent respectively. Results of this research show that the capability of MAXIMUM LIKELIHOOD is higher than the other methods.

Cites

VEGETATION COVER CHANGE DURING 25 YEARS, CASE OF LAR DAM BASIN

References

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APA: Copy

MASOUDI, MASOUD, ALAVIPANAH, S.K., & NEJABAT, MASOUD. (2001). ACCURACY ASSESSMENT OF SUPERVISED CLASSIFICATION METHODS FOR LANDUSE AND COVER MAPPING. IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH, -(5), 123-141. SID. https://sid.ir/paper/107291/en

Vancouver: Copy

MASOUDI MASOUD, ALAVIPANAH S.K., NEJABAT MASOUD. ACCURACY ASSESSMENT OF SUPERVISED CLASSIFICATION METHODS FOR LANDUSE AND COVER MAPPING. IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH[Internet]. 2001;-(5):123-141. Available from: https://sid.ir/paper/107291/en

IEEE: Copy

MASOUD MASOUDI, S.K. ALAVIPANAH, and MASOUD NEJABAT, “ACCURACY ASSESSMENT OF SUPERVISED CLASSIFICATION METHODS FOR LANDUSE AND COVER MAPPING,” IRANIAN JOURNAL OF RANGE AND DESERT RESEARCH, vol. -, no. 5, pp. 123–141, 2001, [Online]. Available: https://sid.ir/paper/107291/en

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