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 article
| 
04 Jan 2024
Data description article |
| 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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- Photosynthetic Activity of Phytocenoses and its Relationships with Environmental Parameters in Southern Western Siberia from Reanalysis Data and Satellite Observations A. Skorokhodov & T. Zhuravleva https://doi.org/10.1134/S1024856025700836
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- Improved modelling of biogenic emissions in human-disturbed forest edges and urban areas Y. Zhang et al. https://doi.org/10.1038/s41467-025-63437-8
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- Disentangling the effects of FPAR, CO2, and climate on terrestrial vegetation productivity trends over two decades (2001–2023) J. Pu et al. https://doi.org/10.1016/j.agrformet.2026.111122
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- A Two-Stage Reference-Guided Workflow for Improving VIIRS Leaf Area Index Retrieval over Mixed Pixels T. Yue et al. https://doi.org/10.3390/rs18132214
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- MUSTI: Multi-scale spatiotemporal tensor imputation for global leaf area index time series reconstruction X. Yu et al. https://doi.org/10.1016/j.rse.2026.115559
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- GEOV2-AVHRR: Continuous and consistent time series of global leaf area index and fraction absorbed PAR from 1981 to 2022 A. Verger et al. https://doi.org/10.1016/j.rse.2025.115029
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- Bridging Satellite Productivity and Global Biodiversity: Unveiling Insights through Dynamic Habitat Indices K. Liu et al. https://doi.org/10.34133/remotesensing.0624
- A Parameter and Flag Adaptive Reconstruction Method for Satellite Vegetation Index Time Series H. Shen et al. https://doi.org/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. https://doi.org/10.1016/j.agrformet.2024.110193
- Chlorophyll-based canopy photosynthesis model: Development and global synergy analysis D. Li et al. https://doi.org/10.1016/j.rse.2026.115468
- An Insight Into the Internal Consistency of MODIS Global Leaf Area Index Products X. Zhang et al. https://doi.org/10.1109/TGRS.2024.3434366
- Carbon and water use efficiency of vegetation ecosystems in the Taihang Mountains has declined sharply over 2002–2022 F. Lü et al. https://doi.org/10.1016/j.jhydrol.2026.135394
- Unveiling forest vertical structure across China through stratified effective plant area index using extensive UAV LiDAR and multi-source remote sensing data Z. Qi et al. https://doi.org/10.1016/j.rse.2026.115492
39 citations as recorded by crossref.
- Parent material modulates land use effects on soil organic carbon fractions but not inorganic carbon in subtropical red soils R. Jiang et al. https://doi.org/10.1016/j.still.2026.107249
- 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. https://doi.org/10.1016/j.rsase.2024.101298
- Mapping global leaf inclination angle (LIA) based on field measurement data S. Li & H. Fang https://doi.org/10.5194/essd-17-1347-2025
- Functional vegetation metrics are more reliable for remotely sensed resilience Y. Liu et al. https://doi.org/10.1016/j.geosus.2026.100531
- Limited capability of current satellite solar-induced chlorophyll fluorescence reconstructions to capture stomatal responses to environmental stresses J. Zhao et al. https://doi.org/10.1038/s43247-025-03035-0
- MCI GPP: ensembling a global model- and climate-independent gross primary productivity for 2001–2023 J. Pu et al. https://doi.org/10.1038/s41597-025-06218-8
- 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. https://doi.org/10.1080/22797254.2024.2432975
- Consecuencias del fuego en la composición de la vegetación y su influencia en la distribución del Leaf Area Index (LAI) mediante imágenes multi-resolución P. Martín Ortiz et al. https://doi.org/10.18172/cig.6769
- Photosynthetic Activity of Phytocenoses and its Relationships with Environmental Parameters in Southern Western Siberia from Reanalysis Data and Satellite Observations A. Skorokhodov & T. Zhuravleva https://doi.org/10.1134/S1024856025700836
- 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. https://doi.org/10.1016/j.srs.2024.100148
- Improved modelling of biogenic emissions in human-disturbed forest edges and urban areas Y. Zhang et al. https://doi.org/10.1038/s41467-025-63437-8
- A global dataset of the fraction of absorbed photosynthetically active radiation for 1982–2022 W. Zhao et al. https://doi.org/10.1038/s41597-024-03561-0
- Disentangling the effects of FPAR, CO2, and climate on terrestrial vegetation productivity trends over two decades (2001–2023) J. Pu et al. https://doi.org/10.1016/j.agrformet.2026.111122
- Mapping and Analyzing Winter Wheat Yields in the Huang-Huai-Hai Plain: A Climate-Independent Perspective Y. Zhao et al. https://doi.org/10.3390/rs17081409
- Large gains in leaf scale photosynthetic rates of sparsely vegetated arid and semi-arid lands J. Pu et al. https://doi.org/10.1038/s43247-025-03121-3
- A Two-Stage Reference-Guided Workflow for Improving VIIRS Leaf Area Index Retrieval over Mixed Pixels T. Yue et al. https://doi.org/10.3390/rs18132214
- Satellite data archives reveal positive effects of peatland restoration: albedo and temperature begin to resemble those of intact peatlands I. Burdun et al. https://doi.org/10.1088/1748-9326/ade901
- MUSTI: Multi-scale spatiotemporal tensor imputation for global leaf area index time series reconstruction X. Yu et al. https://doi.org/10.1016/j.rse.2026.115559
- Diagnosing soybean yield gaps under water-limited conditions using a reference gross primary productivity approach Y. Tian et al. https://doi.org/10.1016/j.agwat.2026.110505
- Fraction of Absorbed Photosynthetically Active Radiation (FPAR) products over Tibetan Plateau J. HU et al. https://doi.org/10.11922/11-6035.csd.2024.0101.zh
- GEOV2-AVHRR: Continuous and consistent time series of global leaf area index and fraction absorbed PAR from 1981 to 2022 A. Verger et al. https://doi.org/10.1016/j.rse.2025.115029
- Multi-Sensor Fusion and Machine Learning for Forest Age Mapping in Southeastern Tibet Z. Chi & K. Xu https://doi.org/10.3390/rs17111926
- Integration of prognostic sowing and harvesting schemes to enhance crop dynamic growth simulation in Noah-MP-Crop model F. Wang et al. https://doi.org/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 https://doi.org/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. https://doi.org/10.3389/frsen.2025.1588387
- Habitat Loss and Other Threats to the Survival of Parnassius apollo (Linnaeus, 1758) in Serbia D. Stojanović et al. https://doi.org/10.3390/insects16080805
- The Intentional and Unintentional Human Food Subsidy Landscape for a Large Carnivore M. Smith et al. https://doi.org/10.1002/ece3.71853
- 全球植被绿度变化的季节差异及2024年异常升高机制 静. 赵 et al. https://doi.org/10.1360/N072025-0434
- Global biogenic isoprene emissions 2013–2020 inferred from satellite isoprene observations H. Li et al. https://doi.org/10.5194/essd-17-7035-2025
- The input-optimized and supplemented MEGAN improves biogenic volatile organic compounds estimation accuracy in China B. Cai et al. https://doi.org/10.1016/j.apr.2025.102650
- Divergent seasonal contributions to global greening and record-high greenness in 2024 J. Zhao et al. https://doi.org/10.1007/s11430-025-1968-7
- Time-series high spatio-temporal resolution vegetation leaf area index estimation based on NDVI trends C. Li et al. https://doi.org/10.1016/j.jag.2025.104744
- Bridging Satellite Productivity and Global Biodiversity: Unveiling Insights through Dynamic Habitat Indices K. Liu et al. https://doi.org/10.34133/remotesensing.0624
- A Parameter and Flag Adaptive Reconstruction Method for Satellite Vegetation Index Time Series H. Shen et al. https://doi.org/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. https://doi.org/10.1016/j.agrformet.2024.110193
- Chlorophyll-based canopy photosynthesis model: Development and global synergy analysis D. Li et al. https://doi.org/10.1016/j.rse.2026.115468
- An Insight Into the Internal Consistency of MODIS Global Leaf Area Index Products X. Zhang et al. https://doi.org/10.1109/TGRS.2024.3434366
- Carbon and water use efficiency of vegetation ecosystems in the Taihang Mountains has declined sharply over 2002–2022 F. Lü et al. https://doi.org/10.1016/j.jhydrol.2026.135394
- Unveiling forest vertical structure across China through stratified effective plant area index using extensive UAV LiDAR and multi-source remote sensing data Z. Qi et al. https://doi.org/10.1016/j.rse.2026.115492
Saved (final revised paper)
Latest update: 19 Aug 2026
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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