EVALUATION ACCURACY OF CLASSIFICATION SENSOR LISS-III IMAGE OF SATELLITE IRS-P6 BY GOOGLE EARTH SOFTWARE (CASE STUDY: TALEGHAN WATERSHED BASIN)

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KIYANI VAHED; ALIZADEH AFSHIN; NAZARI ALIAKBAR

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Journal: GEOGRAPHICAL DATA Year:2014 | Volume:23 | Issue:90 Page(s): 51-59

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Title

EVALUATION ACCURACY OF CLASSIFICATION SENSOR LISS-III IMAGE OF SATELLITE IRS-P6 BY GOOGLE EARTH SOFTWARE (CASE STUDY: TALEGHAN WATERSHED BASIN)

Author(s)

KIYANI VAHED | ALIZADEH AFSHIN | NAZARI ALIAKBAR | Issue Writer Certificate

Keywords

REMOTE SENSINGQ2

EVALUATION ACCURACYQ1

GOOGLE EARTHQ2

TALEGHAN WATERSHED BASINQ2

Abstract

Nowadays, REMOTE SENSING imagery can provide information on the study of land cover and land use applications are, whom the value and usability of the map production rate depends on the accuracy. This study assessed the validity of the classification of the image sensor LISS-IIIsatellite,IRS-P6with the software GOOGLE EARTH, therefore, the satellite images Quick bird the software GOOGLE EARTH is available, to determine the education and also to evaluate the accuracy classification scheme was used. Taleghan city study area, the function the Alborz range Taleghan watershed dislocated. In the project, before of the determination of education for investigation image Accuracy GOOGLE EARTH of digital lines data (road and river) whom earth coordinate were, be used and RMSE 0.77 obtained. In the stage next, after the determination of education, based on the classification of satellite images to monitor and maximize the likelihood algorithm by ENVI 4.2 software using a five-story garden, agricultural, grassland, lakes, and no coverage were classified as the coefficient Kappa class 0.85 and the overall accuracy of 91/4 respectively. The results showed that the GOOGLE EARTH software images to assess accuracy of classification of high spatial accuracy and the use of features such as slope area, and hydrology networks, increases accuracy too. Finally, GOOGLE EARTH satellite images are recommended to evaluate the accuracy of classified satellite images and interpretation of land use/cover are used.

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APA: Copy

KIYANI, VAHED, ALIZADEH, AFSHIN, & NAZARI, ALIAKBAR. (2014). EVALUATION ACCURACY OF CLASSIFICATION SENSOR LISS-III IMAGE OF SATELLITE IRS-P6 BY GOOGLE EARTH SOFTWARE (CASE STUDY: TALEGHAN WATERSHED BASIN). GEOGRAPHICAL DATA, 23(90), 51-59. SID. https://sid.ir/paper/253104/en

Vancouver: Copy

KIYANI VAHED, ALIZADEH AFSHIN, NAZARI ALIAKBAR. EVALUATION ACCURACY OF CLASSIFICATION SENSOR LISS-III IMAGE OF SATELLITE IRS-P6 BY GOOGLE EARTH SOFTWARE (CASE STUDY: TALEGHAN WATERSHED BASIN). GEOGRAPHICAL DATA[Internet]. 2014;23(90):51-59. Available from: https://sid.ir/paper/253104/en

IEEE: Copy

VAHED KIYANI, AFSHIN ALIZADEH, and ALIAKBAR NAZARI, “EVALUATION ACCURACY OF CLASSIFICATION SENSOR LISS-III IMAGE OF SATELLITE IRS-P6 BY GOOGLE EARTH SOFTWARE (CASE STUDY: TALEGHAN WATERSHED BASIN),” GEOGRAPHICAL DATA, vol. 23, no. 90, pp. 51–59, 2014, [Online]. Available: https://sid.ir/paper/253104/en

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