Object-oriented land use/cover classification in coastal area

doi:10.13474/j.cnki.11-2246.2019.0191

Abstract

Abstract:

Land use/cover (LUC) information is a very essential dataset in supporting the related research and application. To extract the LUC information in the coastal area, an object-oriented based classification method is proposed and applied to Lianyungang city using Landsat 8 imagery. The results indicate that the accuracy of the classification exceeded the minimum allowed discriminant accuracy 0.7 with the overall accuracy 85.06% and the overall Kappa coefficient is 0.83. The methodology can reduce the misclassification of arable land due to the vegetation coverage between the southern plains and northern hills, and can be used to extract the tideland and salt-field in the area. The methodology can provide the LUC data with agreed accuracy for the land related research for Lianyungang city, and support the extraction of LUC information in other similar coastal areas.

Key words: land use/cover (LUC), object-oriented, classification rules, coastal area, remote sensing

CLC Number:

P237

YANG Xiaoyan, LIU Wenlu, LI Long, CHEN Longqian, CHEN Longgao. Object-oriented land use/cover classification in coastal area[J]. 测绘通报, 2019, 0(6): 89-91,95.

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