%A Jie Yin,Leilei Zhou,Liwei Li,Yaqiong Zhang,Wenjiang Huang,Helin Zhang,Yan Wang,Shijun Zheng,Haisheng Fan,Chan Ji,Junjie Chen,Dailiang Peng %T A Comparative Study on Wheat Identification and Growth Monitoring based on Multi-source Remote Sensing Data %0 Journal Article %D 2021 %J Remote Sensing Technology and Application %R 10.11873/j.issn.1004-0323.2021.2.0332 %P 332-341 %V 36 %N 2 %U {http://www.rsta.ac.cn/CN/abstract/article_3345.shtml} %8 2021-04-20 %X

Wheat is one of the main crops in China, which is of great significance to the economic development of China.With the continuous development of remote sensing technology, remote sensing technology has become an important means to extract wheat and growth monitoring. The identification of wheat is the premise of its planting area management, and the growth research is an important indicator of its growth evaluation and yield control. In this paper, the multi-source remote sensing data such as the hyperspectral zhuhai No.1 OHS-2A satellite, the multi-spectral Sentinel-2A satellite and MODIS were used to extract wheat by using Support Vector Machine(SVM) in Xiong'an as the research area. The accuracy of wheat was evaluated and analyzed by using the confusion matrix based on the field measurement data. Comparing the two important growth stages of wheat: the return green period and the heading period, wheat growth was divided into three grades (good growth, similar growth, worse growth) for growth monitoring and comparing. The results showed that under the same environmental conditions, the Overall accuracy of OHS-2A was 82.08%, and the Kappa coefficient was 0.76;The Overall accuracy of Sentinel-2A was 85.57% ,and the Kappa coefficient was 0.81, By contrast, Sentinel-2A is the best at identification wheat. In the process of growth monitoring, the Sentinel-2A satellite is more effective than MODIS in monitoring and analyzing the growth of Xiong'an wheat by comparing the growth conditions and the relative amplitude of the change of wheat growth.This study analyzed the status of wheat identification and growth monitoring in Xiong'an from remote sensing data of different resolutions, which is conducive to wheat planting management and the formulation of agricultural policies, which is of great significance for promoting the economic development of green Xiong’an and the city.