Models and Methods | Views : 0 下载量: 297 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • Spatial reconstruction-aided spatio-temporal fusion of NDVI images

    • In the field of crop growth monitoring, experts have proposed the STFSR spatiotemporal fusion method, which effectively improves the accuracy of NDVI data and provides new ideas for generating vegetation index data with high spatiotemporal resolution.
    • Vol. 29, Issue 8, Pages: 2602-2615(2025)   

      Received:09 October 2024

      Published:07 August 2025

    • DOI: 10.11834/jrs.20254449     

    移动端阅览

  • Tang Y J and Wang Q M. 2025. Spatial reconstruction-aided spatio-temporal fusion of NDVI images. National Remote Sensing Bulletin, 29(8):2602-2615 DOI: 10.11834/jrs.20254449.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

TANG Yijie 同济大学 测绘与地理信息学院
WANG Qunming 同济大学 测绘与地理信息学院
HU Chuanmin 美国南佛罗里达大学 海洋科学学院
GAO Bo 太原理工大学 矿业工程学院
HAO Xiaohua 中国科学院西北生态环境资源研究院 甘肃省遥感重点实验室;中国科学院西北生态环境资源研究院 黑河遥感试验研究站
HE Dongcai 太原理工大学 矿业工程学院
ZHAO Qin 中国科学院西北生态环境资源研究院 甘肃省遥感重点实验室
JI Wenzheng 中国科学院西北生态环境资源研究院 甘肃省遥感重点实验室

相关机构

College of Marine Science, University of South Florida, St. Petersburg
College of Mining Engineering, Taiyuan University of Technology
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences
Institute of Desert Meteorology, China Meteorological Administration
0