Revisit the Performance of MODIS and VIIRS Leaf Area Index Products from the Perspective of Time-Series Stability-Reference-Cited by-同舟云学术

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Revisit the Performance of MODIS and VIIRS Leaf Area Index Products from the Perspective of Time-Series Stability

Published:2022 Issue: Volume:15 Page:8958-8973
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zou Dongxiao¹^ORCID,Yan Kai¹^ORCID,Pu Jiabin¹^ORCID,Gao Si¹,Li Wenjuan²,Mu Xihan³^ORCID,Knyazikhin Yuri⁴^ORCID,Myneni Ranga B.⁴

Affiliation:

1. School of Land Science and Techniques, China University of Geosciences, Beijing, China

2. INRAE, Avignon Université, Avignon, France

3. State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China

4. Department of Earth and Environment, Boston University, Boston, MA, USA

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09918051.pdf?arnumber=9918051

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HiQ-LAI: a high-quality reprocessed MODIS leaf area index dataset with better spatiotemporal consistency from 2000 to 2022;Earth System Science Data;2024-03-26

2. Sensor-independent LAI/FPAR CDR: reconstructing a global sensor-independent climate data record of MODIS and VIIRS LAI/FPAR from 2000 to 2022;Earth System Science Data;2024-01-04

3. Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective;Remote Sensing;2023-06-07

4. Improving the MODIS LAI compositing using prior time-series information;Remote Sensing of Environment;2023-03

5. Evaluation of the High-Resolution MuSyQ LAI Product over Heterogeneous Land Surfaces;Remote Sensing;2023-02-23

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