Advancements in high-resolution remote sensing products and algorithms for fractional vegetation cover

DU Xiaozheng; ZHAO Xiang; JIA Kun; ZHAO Jiacheng

doi:10.11834/jrs.20265237

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Advancements in high-resolution remote sensing products and algorithms for fractional vegetation cover
“Vegetation coverage (FVC) is one of the key biophysical parameters that characterize vegetation canopy structure and surface vegetation coverage. This article introduces its research progress in high-resolution remote sensing estimation. The expert system summarizes typical product characteristics and four types of estimation methods, analyzes the difficulties in authenticity testing, and provides theoretical reference for optimizing FVC estimation methods and product development.”
- role：First author第一作者
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  China Centre for Resources Satellite Data and Application, Beijing 100094, China
- Email：duxzheng@mail.bnu.edu.cn
- Introduction：杜晓铮，研究方向为植被定量遥感。E-mail： duxzheng@mail.bnu.edu.cn
DU Xiaozheng
123 * ,
- role：Corresponding author通信作者
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
- Email：zhaoxiang@bnu.edu.cn
- Introduction：赵祥，研究方向为地表要素遥感提取及全球变化与资源环境遥感应用。E-mail： zhaoxiang@bnu.edu.cn
ZHAO Xiang
12 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
JIA Kun
12 * ,
- Affiliation：
  School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
ZHAO Jiacheng
4 *
Vol. 30, Issue 9, Pages: 2557-2579(2026)
DOI：10.11834/jrs.20265237
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Advancements in high-resolution remote sensing products and algorithms for fractional vegetation cover

DU Xiaozheng

ZHAO Xiang

JIA Kun

ZHAO Jiacheng

DOI：10.11834/jrs.20265237

AI Introduction

Full Text(HTML)

Figs( 3 ) Tabs( 2 )

References

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