RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2015, Vol. 24 >> Issue (11): 1834-1842.doi: 10.11870/cjlyzyyhj201511005

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COMPARISON RESEARCH ON CLASSIFICATION METHODS BASED ON MEDIUM-LOW RESOLUTION REMOTE SENSING IMAGE ——A CASE STUDY OF HABITATS EXTRACTION IN POYANG LAKE

CHEN Bin1,2, YU Xiu-bo1, LIU Yu1   

  1. 1. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. University of Chinese Academy of Science, Beijing 100049, China.
  • Received:2015-01-20 Revised:2015-03-27 Online:2015-11-20

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Abstract: Poyang Lake is an important flood mediation lake of the middle and lower reaches of Yangtze River. It is also recognized as an important international wetland which provides key wintering habitats for migratory birds along the East Asian-Australian Flyway. The phenomenon of lower water levels and longer dry season persisting in Poyang Lake is very common in recent years. In this context, the proposal for construction of the Poyang Lake hydraulic project is being made, and it has aroused a broad attention on the habitats from ecologists and environment protection organizations. Wetland information extraction is important for the protection of habitats, and we found that the appliation of object-oriented classification method applying medium-low resolution remote sensing image in wetland classification is not sufficient. In this paper, we classified wetlands according to the migratory habitat preference in wintering period by taking Poyang-Nanji National Wetland Nature Reserve as study area. The main data were extracted from Landsat8 OLI images by object-oriented approaches such as muti-scale segmentation, feature selection and decision tree establishment. Meanwhile, NDVI and NDWI were applied for classification, and characterizing the bands and band combinations were constructed. This paper systematically analyzed the validity of object-oriented approaches in medium-low resolution remote-sensing images by comparing with traditional pixel-based approaches including maximum likehood method, support vector machines method and artificial neural net method. The results show that extracting certain object from multi-segmentation scale levels better recognizes complex wetland landscape and works more efficiently. Compared with spectral characteristics method, object-oriented approach gains higher precision by integrating spectral, spatial, shape and texture features (Total precision 87.64%;Kappa coefficient 0.8552). In conclusion, the medium-low resolution Landsat8 OLI images can meet the needs of wetland information extraction and can be used as the main data source of wetland classification. The object-oriented approach is relatively low-costing and efficient to achieve high-precision wetland landscape information from medium-low remote-sensing images. What's more, this paper provides a new way for other areas of wetland information extraction.

Key words: wetland, Poyang Lake, migratory bird habitat, object-based classification, medium-low resolution remote sensing image, information extraction

CLC Number: 

  • TP79
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