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Using object oriented technique to extract jujube based on landsat8 OLI image in Jialuhe Basin

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DOI: 10.23977/jipta.2016.11004 | Downloads: 58 | Views: 6126


Xinwei Guo 1, Guotao Dong 1, Wenwang Gao 2, Mingyong Cai 3, Dong Fan 1,4, Huijuan Yin 1, Yaokang Lian 5, Suzhen Dang 1


1 Yellow River Institute of Hydraulic Research, YRCC, MWR Key Laboratory of Soil and Water Loss Process and Control in the Loess Plateau, Shunhe Road 45, Zhengzhou, China
2 Xifeng Soil and Water Conservation Experiment Station, South Street 268, Qingyang, China
3 Satellite Environment Center of MEP, Fengde Road, Beijing, China
4 Henan Polytechnic University, Shiji Road 2001, Jiaozuo, China
5 Research Center for Heihe River water resources and Ecological Protection, Qingyang Road 458, Lanzhou, China

Corresponding Author

Guotao Dong


Vegetation is a crucial factor that affects watershed hydrological processes. To understand the effect of jujube vegetation variation on streamflow in the Jialuhe River Basin, jujube forest was investigated in this study. Object-oriented classification technique was used to extract jujube characteristics. The primary vegetation types were selected to sample the reflectance, and the spectral response curves were obtained. Then, the rule set of decision tree is constructed based on the comprehensive analysis of the image information and the object type. The classification results show that jujube forest is scattered and mainly distributed in the lower reaches. The area of jujube forest is 8.8 km2, which accounts for about 7.8% of the total area.


Jujube, Landsat 8 OLI, object oriented technique, Jialuhe Basin.


Guotao, D. , Mingyong, C. , Dong, F. , Wenwang, G. , Yaokang, L. , Huijun, Y. , Suzhen, D. and Xinwei G. (2016) Using object oriented technique to extract jujube based on landsat8 OLI image in Jialuhe Basin. Journal of Image Processing Theory and Applications (2016) 1: 16-20.


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