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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.”
      • role：First author第一作者
      • Affiliation：

        College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

      • Email：sunhao@cumtb.edu.cn
      • Introduction：孙灏，研究方向为热红外遥感、生态水文遥感与矿区应用。E-mail： sunhao@cumtb.edu.cn

      SUN Hao

      1,
      • Affiliation：

        College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

      GAO Jinhua

      1,
      • Affiliation：

        Ningxia Institute of Remote Sensing Survey, Yinchuan 750021, China

      YAN Tingting

      2,
      • Affiliation：

        College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

      HU Keke

      1,
      • Affiliation：

        College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

      XU Zhenheng

      1,
      • Affiliation：

        College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

      WANG Yunjia

      1,
      • Affiliation：

        College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

      MENG Jian

      1,
      • Affiliation：

        College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

      ZHAO Zhiyu

      1
    • Vol. 28, Issue 6, Pages: 1395-1411(2024)  

    • DOI：10.11834/jrs.20243374    

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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

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