Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-15-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-15-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
04 Jan 2024
Data description paper |
| 04 Jan 2024
| 04 Jan 2024
Sensor-independent LAI/FPAR CDR: reconstructing a global sensor-independent climate data record of MODIS and VIIRS LAI/FPAR from 2000 to 2022
Jiabin Pu
Department of Earth and Environment, Boston University, Boston, MA 02215, USA
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Samapriya Roy
Arizona Data Science Initiative, University of Arizona, Tucson, AZ 85721, USA
Zaichun Zhu
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Miina Rautiainen
School of Engineering, Aalto University, P.O. Box 14100, 00076 Aalto, Finland
Yuri Knyazikhin
Department of Earth and Environment, Boston University, Boston, MA 02215, USA
Ranga B. Myneni
Department of Earth and Environment, Boston University, Boston, MA 02215, USA
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Cited
15 citations as recorded by crossref.
- Fraction of Absorbed Photosynthetically Active Radiation (FPAR) products over Tibetan Plateau J. HU et al. 10.11922/11-6035.csd.2024.0101.zh
- Multi-Sensor Fusion and Machine Learning for Forest Age Mapping in Southeastern Tibet Z. Chi & K. Xu 10.3390/rs17111926
- MODIS fPAR products do not reflect in-situ conditions in a tropical dry forest based on wavelet and cross-wavelet transforms A. Sanchez-Azofeifa et al. 10.1016/j.rsase.2024.101298
- Integration of prognostic sowing and harvesting schemes to enhance crop dynamic growth simulation in Noah-MP-Crop model F. Wang et al. 10.1016/j.ecoinf.2024.102785
- Estimating actual evapotranspiration across China by improving the PML algorithm with a shortwave infrared-based surface water stress constraint Y. Yang 10.1016/j.rse.2024.114544
- Integrating MODIS-derived indices for eucalyptus stand volume estimation: an evaluation of MODIS gross primary productivity M. Rajab Pourrahmati et al. 10.3389/frsen.2025.1588387
- Mapping global leaf inclination angle (LIA) based on field measurement data S. Li & H. Fang 10.5194/essd-17-1347-2025
- Comparison of contemporaneous Sentinel-2 and EnMAP data for vegetation index-based estimation of leaf area index and canopy closure of a boreal forest J. Juola et al. 10.1080/22797254.2024.2432975
- OptiSAIL: A system for the simultaneous retrieval of soil, leaf, and canopy parameters and its application to Sentinel-3 Synergy (OLCI+SLSTR) top-of-canopy reflectances S. Blessing et al. 10.1016/j.srs.2024.100148
- Bridging Satellite Productivity and Global Biodiversity: Unveiling Insights through Dynamic Habitat Indices K. Liu et al. 10.34133/remotesensing.0624
- A global dataset of the fraction of absorbed photosynthetically active radiation for 1982–2022 W. Zhao et al. 10.1038/s41597-024-03561-0
- A Parameter and Flag Adaptive Reconstruction Method for Satellite Vegetation Index Time Series H. Shen et al. 10.1109/TGRS.2025.3568444
- Soil moisture plays an increasingly important role in constraining vegetation productivity in China over the past two decades G. Qi et al. 10.1016/j.agrformet.2024.110193
- Mapping and Analyzing Winter Wheat Yields in the Huang-Huai-Hai Plain: A Climate-Independent Perspective Y. Zhao et al. 10.3390/rs17081409
- An Insight Into the Internal Consistency of MODIS Global Leaf Area Index Products X. Zhang et al. 10.1109/TGRS.2024.3434366
15 citations as recorded by crossref.
- Fraction of Absorbed Photosynthetically Active Radiation (FPAR) products over Tibetan Plateau J. HU et al. 10.11922/11-6035.csd.2024.0101.zh
- Multi-Sensor Fusion and Machine Learning for Forest Age Mapping in Southeastern Tibet Z. Chi & K. Xu 10.3390/rs17111926
- MODIS fPAR products do not reflect in-situ conditions in a tropical dry forest based on wavelet and cross-wavelet transforms A. Sanchez-Azofeifa et al. 10.1016/j.rsase.2024.101298
- Integration of prognostic sowing and harvesting schemes to enhance crop dynamic growth simulation in Noah-MP-Crop model F. Wang et al. 10.1016/j.ecoinf.2024.102785
- Estimating actual evapotranspiration across China by improving the PML algorithm with a shortwave infrared-based surface water stress constraint Y. Yang 10.1016/j.rse.2024.114544
- Integrating MODIS-derived indices for eucalyptus stand volume estimation: an evaluation of MODIS gross primary productivity M. Rajab Pourrahmati et al. 10.3389/frsen.2025.1588387
- Mapping global leaf inclination angle (LIA) based on field measurement data S. Li & H. Fang 10.5194/essd-17-1347-2025
- Comparison of contemporaneous Sentinel-2 and EnMAP data for vegetation index-based estimation of leaf area index and canopy closure of a boreal forest J. Juola et al. 10.1080/22797254.2024.2432975
- OptiSAIL: A system for the simultaneous retrieval of soil, leaf, and canopy parameters and its application to Sentinel-3 Synergy (OLCI+SLSTR) top-of-canopy reflectances S. Blessing et al. 10.1016/j.srs.2024.100148
- Bridging Satellite Productivity and Global Biodiversity: Unveiling Insights through Dynamic Habitat Indices K. Liu et al. 10.34133/remotesensing.0624
- A global dataset of the fraction of absorbed photosynthetically active radiation for 1982–2022 W. Zhao et al. 10.1038/s41597-024-03561-0
- A Parameter and Flag Adaptive Reconstruction Method for Satellite Vegetation Index Time Series H. Shen et al. 10.1109/TGRS.2025.3568444
- Soil moisture plays an increasingly important role in constraining vegetation productivity in China over the past two decades G. Qi et al. 10.1016/j.agrformet.2024.110193
- Mapping and Analyzing Winter Wheat Yields in the Huang-Huai-Hai Plain: A Climate-Independent Perspective Y. Zhao et al. 10.3390/rs17081409
- An Insight Into the Internal Consistency of MODIS Global Leaf Area Index Products X. Zhang et al. 10.1109/TGRS.2024.3434366
Latest update: 05 Jul 2025
Short summary
Long-term global LAI/FPAR products provide the fundamental dataset for accessing vegetation dynamics and studying climate change. This study develops a sensor-independent LAI/FPAR climate data record based on the integration of Terra-MODIS/Aqua-MODIS/VIIRS LAI/FPAR standard products and applies advanced gap-filling techniques. The SI LAI/FPAR CDR provides a valuable resource for researchers studying vegetation dynamics and their relationship to climate change in the 21st century.
Long-term global LAI/FPAR products provide the fundamental dataset for accessing vegetation...
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