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Information extraction of Baiyangdian wetland based on GF-2 remote sensing data
Author(s) -
Chengzhen Meng,
Congju Zhao,
Zhou Le,
R. Y. Li,
Meng Lu
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/351/1/012042
Subject(s) - wetland , normalized difference vegetation index , information extraction , environmental science , remote sensing , extraction (chemistry) , hydrology (agriculture) , computer science , ecology , geography , geology , artificial intelligence , chemistry , geotechnical engineering , chromatography , leaf area index , biology
The study on monitoring the water body range of Baiyangdian and the change of wetland information by means of remote sensing is of great significance to ensure the ecological security of Xiong’an New Area. This paper was conducted using the GF-2 remote sensing data on March and October 2018. The study was to provide an extraction model basing on NDVI-NDWI method, which compare with traditional supervised classification method. The selected sample points by using visual interpretation verified the extracted wetland information. The results show that the classification and extraction of Baiyangdian wetland information are carried out by using the model and supervised classification method respectively, and the wetland area (in which) is obtained in March. The precision of the sample points and the extracted wetland information are all above 90%, and the NDVI-NDWI method is constructed based on the NDVI-NDWI method. The extraction model is more accurate. Since the bare waters in March were 102.31 km 2 , 28.27 km 2 more than in October; the area of aquatic plants extracted in October increased significantly from 122.57 km 2 in March to 154.5 km 2 . It can be seen that the information of Baiyangdian wetland changes with the growth of aquatic plants. The model established by the institute can accurately extract the information of Baiyangdian wetland and provide a scientific reference for the planning and management of Xiong’an New District.

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