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    • Soybean identification and extraction method based on spectral characteristics of Sentinel-2 time-series images

    • The latest research proposes a soybean identification method based on time series spectral standard curves, which analyzes regional differences and disaster impacts through changes in meteorological factors, providing new ideas for soybean monitoring.
    • Vol. 28, Issue 10, Pages: 2513-2524(2024)   

      Received:01 March 2023

      Published:07 October 2024

    • DOI: 10.11834/jrs.20233056     

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  • Luo W,Peng D L,Liu J X,Xu J F,Lou Z H,Liu G H,Gao S,Yu L and Wang F M. 2024. Soybean identification and extraction method based on spectral characteristics of Sentinel-2 time-series images. National Remote Sensing Bulletin, 28(10):2513-2524 DOI: 10.11834/jrs.20233056.
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相关作者

PENG Dailiang 中国科学院空天信息创新研究院数字地球重点实验室
XU Junfeng 杭州师范大学遥感与地球科学研究院
LOU Zihang 中国科学院空天信息创新研究院数字地球重点实验室
LIU Guohua 中国科学院微小卫星创新研究院
GAO Shuang 中国科学院 微小卫星创新研究院
YU Le 清华大学地球系统科学系
WANG Fumin 浙江大学农业遥感与信息技术应用研究所
SHI Yiwen 上海师范大学 环境与地理科学学院

相关机构

Institute of Applied Remote Sensing &Information Technology, Zhejiang University
School of Environmental and Geographical Sciences, Shanghai Normal University
Yangtze River Delta Urban Wetland Ecosystem National Field Scientific Observation and Research Station
National Engineering Laboratory for Satellite Remote Sensing Applications (NELRS), Aerospace Information Research Institute, Chinese Academy of Sciences
College of Resources and Environmental, University of Chinese Academy of Sciences
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