Crop classification using HJ satellite multispectral data in the North China Plain

Kun Jia; Bingfang Wu; Qiangzi Li

doi:10.1117/1.JRS.7.073576

12 April 2013 Crop classification using HJ satellite multispectral data in the North China Plain

Kun Jia, Bingfang Wu, Qiangzi Li

Author Affiliations +

Funded by: Knowledge Innovation Project of The Chinese Academy of Sciences, National Key Technology R&D Program, National High Technology Research and Development Program of China (863 Program)

Journal of Applied Remote Sensing, Vol. 7, Issue 1, 073576 (April 2013). https://doi.org/10.1117/1.JRS.7.073576

Abstract

The HJ satellite constellation is designed for environment and disaster monitoring by the Chinese government. This paper investigates the performance of multitemporal multispectral charge-coupled device (CCD) data on board HJ-1-A and HJ-1-B for crop classification in the North China Plain. Support vector machine classifier is selected for the classification using different combinations of multitemporal HJ multispectral data. The results indicate that multitemporal HJ CCD data could effectively identify wheat fields with an overall classification accuracy of 91.7%. Considering only single temporal data, 88.2% is the best classification accuracy achieved using the data acquired at the flowering time of wheat. The performance of the combination of two temporal data acquired at the jointing and flowering times of wheat is almost as well as using all three temporal data, indicating that two appropriate temporal data are enough for wheat classification, and much more data have little effect on improving the classification accuracy. Moreover, two temporal data acquired over a larger time interval achieves better results than that over a smaller interval. However, the field borders and smaller cotton fields cannot be identified effectively by HJ multispectral data, and misclassification phenomenon exists because of the relatively coarse spatial resolution.

Citation Download Citation

Kun Jia, Bingfang Wu, and Qiangzi Li "Crop classification using HJ satellite multispectral data in the North China Plain," Journal of Applied Remote Sensing 7(1), 073576 (12 April 2013). https://doi.org/10.1117/1.JRS.7.073576

Published: 12 April 2013

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE