Monitoring of Rice Irrigation Area Based on GF-1 Data and Spectral Matching Technology- A Case Study of Chuanhang Irrigation Area in Suqian City

China is the world’s largest rice producer and consumer. Accurate identification of rice planting and irrigation area is of great significance to China’s food security. Based on GF-1 multispectral data, spectral matching and OTSU algorithm were used to monitor the rice irrigation area in Chuanhang I...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-05, Vol.783 (1), p.12150
Main Authors: Tong, Daobin, Duan, Yuanyuan, Chen, Xiuhua, Lu, Yizhu, Liu, Hongjie, Zhao, Guanliang, Song, Wenlong
Format: Article
Language:English
Subjects:
Algorithms
Food security
Irrigated areas
Irrigation
Matching
Monitoring
Remote sensing
Rice
Spatial discrimination
Spatial resolution
Technical services
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Summary:China is the world’s largest rice producer and consumer. Accurate identification of rice planting and irrigation area is of great significance to China’s food security. Based on GF-1 multispectral data, spectral matching and OTSU algorithm were used to monitor the rice irrigation area in Chuanhang Irrigation Area from 2016 to 2020. The accuracy was verified by confusion matrix. The overall accuracy was 98.1691%, 91.8706%, 95.2451%, 93.0604%, 91.9697%, respectively. The Kappa coefficients were 0.9541, 0.7898, 0.8777, 0.8330 and 0.7824, respectively, which proved that this method was suitable for rice irrigation area extraction based on high spatial resolution remote sensing data, and could provide technical support for rice irrigation area monitoring in irrigated areas.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/783/1/012150