COMPARISON OF METHODS FOR CLASSIFICATION AND CREATING LANDUSE MAP IN ARID REGION BY USING SATELLITE IMAGES

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FATAHI MOHAMMAD MAHDI; NOUROUZI A.A.; ABKAR ALI AKBAR; KHALKHALI S.A.

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Journal: Year:2007 | Volume:20 | Issue:3 (76 IN NATURAL RESOURCES) Page(s): 129-135

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Information Journal Paper

Title

COMPARISON OF METHODS FOR CLASSIFICATION AND CREATING LANDUSE MAP IN ARID REGION BY USING SATELLITE IMAGES

Author(s)

FATAHI MOHAMMAD MAHDI | NOUROUZI A.A. | ABKAR ALI AKBAR | KHALKHALI S.A. | Issue Writer Certificate

Keywords

LANDUSE MAPQ3

SATELLITE DATAQ3

VEGETATION INDICESQ3

SUPERVISED CLASSIFICATIONQ3

HYBRID METHODQ3

Abstract

Because of wide and unique view in SATELLITE DATA, that inculdes most parts of electeromagnetic spectrum, and their update images they are suitable for producting LANDUSE MAP. This research was done for introduction the most important methods of LANDUSE MAP producing by using of landsat and IRS digital data in Dasht-e-Qom (with 183,853 hectares area). Landsat and IRS include ETM+ and PAN & Liss III sensors respectively. After nessesary corrections and preprossecing of images, they were classified with four different methods. In classification by using the vegetative indices, PVI indice showed the highest accuracy (with 40.8% overall accuracy and 0.29 Kappa coefficient).In one-band SUPERVISED CLASSIFICATION, the highest accuracy is band1 of ETM+ (with 17.41% overall accuracy and 0.004 kappa coefficient).in this classification, density slicing method has been used. The results showed that using the VEGETATION INDICES and one-band SUPERVISED CLASSIFICATIONs can ,t use for a perfect and independent images classification, because it mixes spectral phenomena and is limited to recognization a few ranges of classes. In the multispectral SUPERVISED CLASSIFICATION, the highest accuracy related to ETM+ data and maximum likelihood (with 71.95% of overall accuracy and 0.67 kappa coefficient). The HYBRID METHOD is the most highest accurant and the best of 4 classification methods (with 76.42% overall accuracy and 0.72 kappa coefficient).

Cites

EVALUATION AND ZONING OF SEVERITY AND DANGER OF DESERTIFICATION IN THE SOME PARTS OF SISTAN PLAIN AND HAMOON LAKE BED USING IRIFR MODEL

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APA: Copy

FATAHI, MOHAMMAD MAHDI, NOUROUZI, A.A., ABKAR, ALI AKBAR, & KHALKHALI, S.A.. (2007). COMPARISON OF METHODS FOR CLASSIFICATION AND CREATING LANDUSE MAP IN ARID REGION BY USING SATELLITE IMAGES. PAJOUHESH-VA-SAZANDEGI, 20(3 (76 IN NATURAL RESOURCES)), 129-135. SID. https://sid.ir/paper/19991/en

Vancouver: Copy

FATAHI MOHAMMAD MAHDI, NOUROUZI A.A., ABKAR ALI AKBAR, KHALKHALI S.A.. COMPARISON OF METHODS FOR CLASSIFICATION AND CREATING LANDUSE MAP IN ARID REGION BY USING SATELLITE IMAGES. PAJOUHESH-VA-SAZANDEGI[Internet]. 2007;20(3 (76 IN NATURAL RESOURCES)):129-135. Available from: https://sid.ir/paper/19991/en

IEEE: Copy

MOHAMMAD MAHDI FATAHI, A.A. NOUROUZI, ALI AKBAR ABKAR, and S.A. KHALKHALI, “COMPARISON OF METHODS FOR CLASSIFICATION AND CREATING LANDUSE MAP IN ARID REGION BY USING SATELLITE IMAGES,” PAJOUHESH-VA-SAZANDEGI, vol. 20, no. 3 (76 IN NATURAL RESOURCES), pp. 129–135, 2007, [Online]. Available: https://sid.ir/paper/19991/en

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