Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-4877-2023
© Author(s) 2023. 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-15-4877-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
01 Nov 2023
Data description paper |
| 01 Nov 2023
| 01 Nov 2023
Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Muyi Li
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Zhe Wang
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Junjun Zha
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Weiqing Zhao
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Zeyu Duanmu
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Jiana Chen
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Yaoyao Zheng
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Yue Chen
School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Key Laboratory of Earth Surface System and Human–Earth Relations, Ministry of Natural Resources of China, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Ranga B. Myneni
Department of Earth & Environment, Boston University, Boston, MA 02215, USA
Shilong Piao
Institute of Carbon Neutrality, Peking University, Beijing 100871, China
Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
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19 citations as recorded by crossref.
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- Global increase in the optimal temperature for the productivity of terrestrial ecosystems Z. Fang et al. 10.1038/s43247-024-01636-9
- Climate-driven disturbances amplify forest drought sensitivity M. Liu et al. 10.1038/s41558-024-02022-1
- Stronger Impact of Extreme Heat Event on Vegetation Temperature Sensitivity under Future Scenarios with High-Emission Intensity H. Yang et al. 10.3390/rs16193708
- Inner Mongolia grasslands act as a weak regional carbon sink: A new estimation based on upscaling eddy covariance observations C. You et al. 10.1016/j.agrformet.2023.109719
- Widespread increase in plant transpiration driven by global greening H. Chen et al. 10.1016/j.gloplacha.2024.104395
- Spatio-temporal analysis of LAI using multisource remote sensing data for source region of Yellow River Basin Y. Zhang et al. 10.3389/fenvs.2024.1320881
- Runoff and sediment effect of the soil-water conservation measures in a typical river basin of the Loess Plateau H. Yang et al. 10.1016/j.catena.2024.108218
- Estimation of Leaf Area Index across Biomes and Growth Stages Combining Multiple Vegetation Indices F. Lv et al. 10.3390/s24186106
- Persistent greening against drying in northeast Asian semiarid grasslands: Asymmetrical responses of direct and legacy effects to intensified drought Y. Ma et al. 10.1016/j.accre.2024.01.013
- A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network H. Li et al. 10.1038/s41597-024-03948-z
- Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products X. Liang et al. 10.5194/essd-16-177-2024
- A new temperature–photoperiod coupled phenology module in LPJ-GUESS model v4.1: optimizing estimation of terrestrial carbon and water processes S. Chen et al. 10.5194/gmd-17-2509-2024
- Resistance of grassland productivity to drought and heatwave over a temperate semi-arid climate zone Y. Huang et al. 10.1016/j.scitotenv.2024.175495
- Earth's record-high greenness and its attributions in 2020 Y. Zhang et al. 10.1016/j.rse.2024.114494
- The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades Y. Chen et al. 10.1088/1748-9326/ad107f
- Response of alpine vegetation function to climate change in the Tibetan Plateau: A perspective from solar-induced chlorophyll fluorescence Y. Luo et al. 10.1016/j.scitotenv.2024.175845
- The global greening continues despite increased drought stress since 2000 X. Chen et al. 10.1016/j.gecco.2023.e02791
- Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020 S. Cao et al. 10.5194/essd-15-4877-2023
18 citations as recorded by crossref.
- Data-constrained modeling of terrestrial gross primary production over the Tibetan Plateau for 2003–2019 S. Chen et al. 10.1016/j.agrformet.2024.110129
- Global increase in the optimal temperature for the productivity of terrestrial ecosystems Z. Fang et al. 10.1038/s43247-024-01636-9
- Climate-driven disturbances amplify forest drought sensitivity M. Liu et al. 10.1038/s41558-024-02022-1
- Stronger Impact of Extreme Heat Event on Vegetation Temperature Sensitivity under Future Scenarios with High-Emission Intensity H. Yang et al. 10.3390/rs16193708
- Inner Mongolia grasslands act as a weak regional carbon sink: A new estimation based on upscaling eddy covariance observations C. You et al. 10.1016/j.agrformet.2023.109719
- Widespread increase in plant transpiration driven by global greening H. Chen et al. 10.1016/j.gloplacha.2024.104395
- Spatio-temporal analysis of LAI using multisource remote sensing data for source region of Yellow River Basin Y. Zhang et al. 10.3389/fenvs.2024.1320881
- Runoff and sediment effect of the soil-water conservation measures in a typical river basin of the Loess Plateau H. Yang et al. 10.1016/j.catena.2024.108218
- Estimation of Leaf Area Index across Biomes and Growth Stages Combining Multiple Vegetation Indices F. Lv et al. 10.3390/s24186106
- Persistent greening against drying in northeast Asian semiarid grasslands: Asymmetrical responses of direct and legacy effects to intensified drought Y. Ma et al. 10.1016/j.accre.2024.01.013
- A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network H. Li et al. 10.1038/s41597-024-03948-z
- Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products X. Liang et al. 10.5194/essd-16-177-2024
- A new temperature–photoperiod coupled phenology module in LPJ-GUESS model v4.1: optimizing estimation of terrestrial carbon and water processes S. Chen et al. 10.5194/gmd-17-2509-2024
- Resistance of grassland productivity to drought and heatwave over a temperate semi-arid climate zone Y. Huang et al. 10.1016/j.scitotenv.2024.175495
- Earth's record-high greenness and its attributions in 2020 Y. Zhang et al. 10.1016/j.rse.2024.114494
- The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades Y. Chen et al. 10.1088/1748-9326/ad107f
- Response of alpine vegetation function to climate change in the Tibetan Plateau: A perspective from solar-induced chlorophyll fluorescence Y. Luo et al. 10.1016/j.scitotenv.2024.175845
- The global greening continues despite increased drought stress since 2000 X. Chen et al. 10.1016/j.gecco.2023.e02791
1 citations as recorded by crossref.
Latest update: 22 Nov 2024
Short summary
The long-term global leaf area index (LAI) products are critical for characterizing vegetation dynamics under environmental changes. This study presents an updated GIMMS LAI product (GIMMS LAI4g; 1982−2020) based on PKU GIMMS NDVI and massive Landsat LAI samples. With higher accuracy than other LAI products, GIMMS LAI4g removes the effects of orbital drift and sensor degradation in AVHRR data. It has better temporal consistency before and after 2000 and a more reasonable global vegetation trend.
The long-term global leaf area index (LAI) products are critical for characterizing vegetation...
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