Pixel based classificatrion analyisis of land use land cover in tarom basin

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Hoseini Seyed Behrouz; SAREMI ALI; Nouri Ghidari Mohammad Hosein; SEDGHI HASAN; FIROOZFAR ALIREZA; Nikbakht Jafar

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Journal: JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION Year:2019 | Volume:8 | Issue:4 Page(s): 134-150

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Title

Pixel based classificatrion analyisis of land use land cover in tarom basin

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Keywords

LANDSAT 8Q1

Maximum Likelihood MethodQ1

Supervised ClassificationQ2

Tarom BasinQ1

Abstract

The comprehensive management of a watershed requires basic informations such as land use and land cover. The aim of this study is to conduct accuracy analyses of land use/land cover classifications derived from Landsat-8 data, and to reveal that which kind of land use and land cover can be estimated more accurately. Tarom Basin and its near surrounding (Zanjan, Guilan, Ardebil and East Azerbaijan) was selected as study area for this case study. Landsat-8 the data, acquired on 8 August 2017, were utilized as satellite imagery in the study. The RGB (RED, Green, Blue) and NIR (Near Infrared) bands were used for classification and comparison the results with ground samples. Required pre-processing and control of georeferenced of images were performed. After performing the required atmospheric corrections, using the FLAASH algorithm, classification maps were generated. LULC images were generated using 3 pixel-based Supervised Classification method method, Maximum Likelihood (MLC), Support Vector Machine (SVM) and Artificial Neural Network (ANN). As a result of the accuracy assessment, kappa statistics and overall accuracy for MLC method were 0. 88 and 91. 55 respectively. The obtained results showed that Landsat-8 OLI data, presents satisfying LULC images in water body, mountain and rock, bare land, Vegetation and forest classes. In addition, according to the obtained results, it can be stated that all three methods of classification in a region with heterogeneous (in terms of elevation elevation between 280 and 3000 m and land use and variety of vegetation) Such Tarom, can have good results. Among these methods, Classification with MLC method, had higher speed and lower complexity for execution, than two other methods in achieving the required maps.

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APA: Copy

Hoseini, Seyed Behrouz, SAREMI, ALI, Nouri Ghidari, Mohammad Hosein, SEDGHI, HASAN, FIROOZFAR, ALIREZA, & Nikbakht, Jafar. (2019). Pixel based classificatrion analyisis of land use land cover in tarom basin. JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION, 8(4 ), 134-150. SID. https://sid.ir/paper/232194/en

Vancouver: Copy

Hoseini Seyed Behrouz, SAREMI ALI, Nouri Ghidari Mohammad Hosein, SEDGHI HASAN, FIROOZFAR ALIREZA, Nikbakht Jafar. Pixel based classificatrion analyisis of land use land cover in tarom basin. JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION[Internet]. 2019;8(4 ):134-150. Available from: https://sid.ir/paper/232194/en

IEEE: Copy

Seyed Behrouz Hoseini, ALI SAREMI, Mohammad Hosein Nouri Ghidari, HASAN SEDGHI, ALIREZA FIROOZFAR, and Jafar Nikbakht, “Pixel based classificatrion analyisis of land use land cover in tarom basin,” JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION, vol. 8, no. 4 , pp. 134–150, 2019, [Online]. Available: https://sid.ir/paper/232194/en

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