Remote Sensing of Vegetation Pests and Diseases | Views : 0 下载量: 1561 CSCD: 1

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    • Monitoring chilling damage of corn in the Northeast China based on MODIS LST and meteorological data

    • “New progress has been made in remote sensing monitoring of low temperature and cold damage to maize in Northeast China, and a daily average temperature estimation model has been constructed to provide scientific basis for maize yield prediction.”
    • Vol. 28, Issue 10, Pages: 2500-2512(2024)   

      Received：28 January 2021，

      Published：07 October 2024

    • DOI： 10.11834/jrs.20211045     

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  • Huang R，Huang J X，Zhang C，Guo C M，Zhuang L W，Wu K H，Zhang J C and Zhang Y. 2024. Monitoring chilling damage of corn in the Northeast China based on MODIS LST and meteorological data. National Remote Sensing Bulletin， 28（10）：2500-2512 DOI： 10.11834/jrs.20211045.
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Ran HUANG 杭州电子科技大学 自动化学院(人工智能学院);中国农业大学 土地科学与技术学院
Jianxi HUANG 中国农业大学 土地科学与技术学院
Chao ZHANG 中国农业大学 土地科学与技术学院
Chunming GUO 吉林省气象科学研究所
Liwei ZHUANG 国家气象中心
Kaihua WU 杭州电子科技大学 自动化学院(人工智能学院)
Jingcheng ZHANG 杭州电子科技大学 自动化学院(人工智能学院)
Yao ZHANG 杭州电子科技大学 自动化学院(人工智能学院)

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School of Artificial Intelligence, Hangzhou Dianzi University
Institute of Meteorological Sciences of Jilin Province
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