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    • Remote sensing of vegetation drought: Research progress

    • In the field of vegetation drought remote sensing monitoring, experts have summarized the current research status and looked forward to future development directions. Research has shown that the development trend of monitoring methods is towards refinement, comprehensiveness, and intelligence. Future research directions include inversion techniques that couple mechanistic and learning models, temperature anomaly detection methods based on two-stage trapezoidal models, and deep learning monitoring models guided by vegetation drought response laws.
    • Vol. 28, Issue 6, Pages: 1395-1411(2024)   

      Received:04 September 2023

      Published:07 June 2024

    • DOI: 10.11834/jrs.20243374     

    移动端阅览

  • Sun H, Gao J H, Yan T T, Hu K K, Xu Z H, Wang Y J, Meng J and Zhao Z Y. 2024. Remote sensing of vegetation drought: Research progress. National Remote Sensing Bulletin, 28(6):1395-1411 DOI: 10.11834/jrs.20243374.
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相关作者

SUN Hao 中国矿业大学(北京) 地球科学与测绘工程学院
GAO Jinhua 中国矿业大学(北京) 地球科学与测绘工程学院
YAN Tingting 宁夏回族自治区遥感调查院
HU Keke 中国矿业大学(北京) 地球科学与测绘工程学院
XU Zhenheng 中国矿业大学(北京) 地球科学与测绘工程学院
WANG Yunjia 中国矿业大学(北京) 地球科学与测绘工程学院
MENG Jian 中国矿业大学(北京) 地球科学与测绘工程学院
ZHAO Zhiyu 中国矿业大学(北京) 地球科学与测绘工程学院

相关机构

College of Geoscience and Surveying Engineering, China University of Mining and Technology
Ningxia Data and Application Center of High Resolution Earth Observation System, Ningxia Institute of Remote Sensing Survey
Faculty of Geosciences and Engineering, Southwest Jiaotong University
Faculty of Geography Science, Beijing Normal University
School of Geography and Planning, Sun Yat-sen University
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