RECOVERING MISSING PIXELS FOR A LANDSAT SLC-OFF IMAGE USING WEIGHTED LINEAR REGRESSION AND ACCURACY ASSESSMENT OF LAND COVER MAP (CASE STUDY: KHOY REGION, NORTHWEST IRAN)

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NAJAFZADEH A.; ERFANIAN M.; ALIJANPOUR A.; BABAEI HESSAR S.

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Journal: FOREST RESEARCH AND DEVELOPMENT Year:2017 | Volume:3 | Issue:3 Page(s): 275-289

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Title

RECOVERING MISSING PIXELS FOR A LANDSAT SLC-OFF IMAGE USING WEIGHTED LINEAR REGRESSION AND ACCURACY ASSESSMENT OF LAND COVER MAP (CASE STUDY: KHOY REGION, NORTHWEST IRAN)

Author(s)

NAJAFZADEH A. | ERFANIAN M. | ALIJANPOUR A. | BABAEI HESSAR S. | Issue Writer Certificate

Keywords

ETM++Q1

GAP FILLINGQ1

KHOYQ1

SCAN LINE CORRECTOR (SLC)Q2

WLRQ1

Abstract

On May 31, 2003 the Scan Line Corrector (SLC) in the ETM++ instrument on Landsat 7 failed. Until now, a wide variety of gap-filling methods have been developed to recover missing pixels in the Landsat 7 SLC-off images. In present study, a newly-developed approach known as the Weighted Linear Regression (WLR) method was evaluated on the simulated SLC-off TM image acquired on 18 June 2011 when plants and vegetated lands are growing. The statistical measures of the RMSE (<0.02), the Pearson correlation coefficient (R=0.99), and the Nash-Sutcliffe (NSE=0.91) showed that the WLR is highly capable of predicting missing pixels values. Based on a supervised image classification technique so-called the Maximum Likelihood (ML) applied on the predicted image, a land cover map for the desire region was generated. The accuracy assessment results consist of the Overall accuracy (OA=89.7%), the Kappa coefficient (K=0.85), the Allocation Disagreement (AD=3.2), and the Quantitative Disagreement (QD=6.9), revealed a high ability of the WLR for land cover mapping. Therefore, under the lack of Landsat TM imagery, the application of this method for recovering missing pixels is highly suggested to be useful for producing any required land cover map in KHOY region from Landsat ETM++ SLC-off images.

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APA: Copy

NAJAFZADEH, A., ERFANIAN, M., ALIJANPOUR, A., & BABAEI HESSAR, S.. (2017). RECOVERING MISSING PIXELS FOR A LANDSAT SLC-OFF IMAGE USING WEIGHTED LINEAR REGRESSION AND ACCURACY ASSESSMENT OF LAND COVER MAP (CASE STUDY: KHOY REGION, NORTHWEST IRAN). FOREST RESEARCH AND DEVELOPMENT, 3(3 ), 275-289. SID. https://sid.ir/paper/263861/en

Vancouver: Copy

NAJAFZADEH A., ERFANIAN M., ALIJANPOUR A., BABAEI HESSAR S.. RECOVERING MISSING PIXELS FOR A LANDSAT SLC-OFF IMAGE USING WEIGHTED LINEAR REGRESSION AND ACCURACY ASSESSMENT OF LAND COVER MAP (CASE STUDY: KHOY REGION, NORTHWEST IRAN). FOREST RESEARCH AND DEVELOPMENT[Internet]. 2017;3(3 ):275-289. Available from: https://sid.ir/paper/263861/en

IEEE: Copy

A. NAJAFZADEH, M. ERFANIAN, A. ALIJANPOUR, and S. BABAEI HESSAR, “RECOVERING MISSING PIXELS FOR A LANDSAT SLC-OFF IMAGE USING WEIGHTED LINEAR REGRESSION AND ACCURACY ASSESSMENT OF LAND COVER MAP (CASE STUDY: KHOY REGION, NORTHWEST IRAN),” FOREST RESEARCH AND DEVELOPMENT, vol. 3, no. 3 , pp. 275–289, 2017, [Online]. Available: https://sid.ir/paper/263861/en

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