Journal of Tropical Oceanography ›› 2020, Vol. 39 ›› Issue (4): 116-129.doi: 10.11978/2019100CSTR: 32234.14.2019100

• Marine Survey and Monitoring • Previous Articles    

Construction and classification of coral reef geomorphic unit system based on high-resolution remote sensing: using 8-band Worldview-2 Image as an example

Juan DONG1(), Guangbo REN1(), Yabin HU1,2, Jinzhao PANG1,3, Yi MA1   

  1. 1. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
    2. Information Science and Technology College, Dalian Maritime University, Dalian 116026, China
    3. China University of Petroleum, Qingdao 266580, China
  • Received:2019-10-12 Revised:2020-02-02 Online:2020-07-20 Published:2020-07-27
  • Contact: Guangbo REN E-mail:dongj_0829@163.com;renguangbo@126.com
  • Supported by:
    Foundation item: National Natural Science Foundation of China(51839002)

Abstract:

Coral reef ecosystem is one of the ecosystems with the highest primary productivity in the world. It plays an important role in maintaining marine biodiversity, preventing waves and consolidating beaches, and it is great resources for mankind. At the same time, the remote sensing geomorphological classification system of coral reefs is the necessary basis for the protection, management and sustainable development of coral reefs. However, there is no corresponding classification system taking coral coverage into account. Based on WorldView-2 high-resolution remote sensing image, we selected the reef of Zhaoshu Dao and Xisha Zhou in the north of Qilianyu Island, Xisha Islands, South China Sea as our study area. In this paper, coral coverage, regional geomorphic composition and hydrodynamic conditions are used to establish a coral reef geomorphic unit classification system suitable for remote sensing monitoring and are related to the survival of coral reefs. The method of object-oriented support vector machine (SVM) and random forest (RF) were used to extract the coral reef geomorphic units, and the accuracy of the extraction results was evaluated. The results showed that both SVM and RF classification methods can extract reef geomorphic units, and the classification accuracy was 87.59% and 79.81%, respectively. Aiming at the problem of misclassification and omission in the process of classification, we modified the classification results according to the causes and distributions of coral reefs. And the accuracy of modified classification was 91.3%, and the kappa coefficient was 0.9041. They showed that the coral reef geomorphic unit classification system constructed in this paper can meet the need of information extraction of coral reefs to some extent.

Key words: coral reef, geomorphology, classification scheme, remote sensing, object oriented

CLC Number: 

  • P737.2