Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-281-2021
© Author(s) 2021. 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-13-281-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
09 Feb 2021
Data description paper |
| 09 Feb 2021
| 09 Feb 2021
A daily, 250 m and real-time gross primary productivity product (2000–present) covering the contiguous United States
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
College of Agricultural, Consumer & Environmental Sciences,
University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
DOE Center for Advanced Bioenergy and Bioproducts Innovation,
University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Kaiyu Guan
CORRESPONDING AUTHOR
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
College of Agricultural, Consumer & Environmental Sciences,
University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
DOE Center for Advanced Bioenergy and Bioproducts Innovation,
University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
National Center for Supercomputing Applications, University of Illinois
at Urbana-Champaign, Urbana, IL 61801, USA
Genghong Wu
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
College of Agricultural, Consumer & Environmental Sciences,
University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
DOE Center for Advanced Bioenergy and Bioproducts Innovation,
University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Bin Peng
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
DOE Center for Advanced Bioenergy and Bioproducts Innovation,
University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
National Center for Supercomputing Applications, University of Illinois
at Urbana-Champaign, Urbana, IL 61801, USA
Sheng Wang
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
College of Agricultural, Consumer & Environmental Sciences,
University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
National Center for Supercomputing Applications, University of Illinois
at Urbana-Champaign, Urbana, IL 61801, USA
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Cited
25 citations as recorded by crossref.
- Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. 10.1016/j.agrformet.2021.108521
- Assessing Different Plant‐Centric Water Stress Metrics for Irrigation Efficacy Using Soil‐Plant‐Atmosphere‐Continuum Simulation J. Zhang et al. 10.1029/2021WR030211
- NIRP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations S. Chen et al. 10.1016/j.jag.2023.103437
- Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager S. Jeong et al. 10.1016/j.rse.2022.113365
- River Bars and Vegetation Dynamics in Response to Upstream Damming: A Case Study of the Middle Yangtze River Y. Hu et al. 10.3390/rs15092324
- Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean L. Huang et al. 10.3390/rs15204922
- Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time J. Lee & J. Im 10.1080/15481603.2024.2319372
- Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
- Long-term, high-resolution GPP mapping in Qinghai using multi-source data and google earth engine F. Yang et al. 10.1080/17538947.2023.2288131
- Remote‐Sensing Derived Trends in Gross Primary Production Explain Increases in the CO2 Seasonal Cycle Amplitude L. He et al. 10.1029/2021GB007220
- Improved estimation of gross primary production with NIRvP by incorporating a phenophase scheme for temperate deciduous forest ecosystems J. Jin et al. 10.1016/j.foreco.2024.121742
- A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest Q. Yang et al. 10.1016/j.rse.2023.113880
- Observed divergence in the trends of temperature controls on Chinese ecosystem water use efficiency X. Xu et al. 10.1016/j.ecolind.2023.111241
- Improved estimation of global gross primary productivity during 1981–2020 using the optimized P model Z. Zhang et al. 10.1016/j.scitotenv.2022.156172
- Photosynthetically Active Radiation and Foliage Clumping Improve Satellite-Based NIRv Estimates of Gross Primary Production I. Filella et al. 10.3390/rs15082207
- A vehicle imaging approach to acquire ground truth data for upscaling to satellite data: A case study for estimating harvesting dates C. Jiang et al. 10.1016/j.rse.2023.113894
- Machine learning methods for assessing photosynthetic activity: environmental monitoring applications S. Khruschev et al. 10.1007/s12551-022-00982-2
- A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band X. Liu et al. 10.1016/j.rse.2022.113341
- Temporal upscaling of MODIS instantaneous FAPAR improves forest gross primary productivity (GPP) simulation Y. Zhang et al. 10.1016/j.jag.2023.103360
- Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates J. Kong et al. 10.1016/j.agrformet.2022.108878
- Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand J. Zhang et al. 10.1038/s41467-021-25254-7
- How does uncertainty of soil organic carbon stock affect the calculation of carbon budgets and soil carbon credits for croplands in the U.S. Midwest? W. Zhou et al. 10.1016/j.geoderma.2022.116254
- A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt H. Kimm et al. 10.1088/1748-9326/ac3b16
- Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems G. Wu et al. 10.1038/s41597-024-03004-w
- Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus G. Wu et al. 10.1016/j.agrformet.2022.109046
22 citations as recorded by crossref.
- Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. 10.1016/j.agrformet.2021.108521
- Assessing Different Plant‐Centric Water Stress Metrics for Irrigation Efficacy Using Soil‐Plant‐Atmosphere‐Continuum Simulation J. Zhang et al. 10.1029/2021WR030211
- NIRP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations S. Chen et al. 10.1016/j.jag.2023.103437
- Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager S. Jeong et al. 10.1016/j.rse.2022.113365
- River Bars and Vegetation Dynamics in Response to Upstream Damming: A Case Study of the Middle Yangtze River Y. Hu et al. 10.3390/rs15092324
- Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean L. Huang et al. 10.3390/rs15204922
- Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time J. Lee & J. Im 10.1080/15481603.2024.2319372
- Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
- Long-term, high-resolution GPP mapping in Qinghai using multi-source data and google earth engine F. Yang et al. 10.1080/17538947.2023.2288131
- Remote‐Sensing Derived Trends in Gross Primary Production Explain Increases in the CO2 Seasonal Cycle Amplitude L. He et al. 10.1029/2021GB007220
- Improved estimation of gross primary production with NIRvP by incorporating a phenophase scheme for temperate deciduous forest ecosystems J. Jin et al. 10.1016/j.foreco.2024.121742
- A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest Q. Yang et al. 10.1016/j.rse.2023.113880
- Observed divergence in the trends of temperature controls on Chinese ecosystem water use efficiency X. Xu et al. 10.1016/j.ecolind.2023.111241
- Improved estimation of global gross primary productivity during 1981–2020 using the optimized P model Z. Zhang et al. 10.1016/j.scitotenv.2022.156172
- Photosynthetically Active Radiation and Foliage Clumping Improve Satellite-Based NIRv Estimates of Gross Primary Production I. Filella et al. 10.3390/rs15082207
- A vehicle imaging approach to acquire ground truth data for upscaling to satellite data: A case study for estimating harvesting dates C. Jiang et al. 10.1016/j.rse.2023.113894
- Machine learning methods for assessing photosynthetic activity: environmental monitoring applications S. Khruschev et al. 10.1007/s12551-022-00982-2
- A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band X. Liu et al. 10.1016/j.rse.2022.113341
- Temporal upscaling of MODIS instantaneous FAPAR improves forest gross primary productivity (GPP) simulation Y. Zhang et al. 10.1016/j.jag.2023.103360
- Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates J. Kong et al. 10.1016/j.agrformet.2022.108878
- Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand J. Zhang et al. 10.1038/s41467-021-25254-7
- How does uncertainty of soil organic carbon stock affect the calculation of carbon budgets and soil carbon credits for croplands in the U.S. Midwest? W. Zhou et al. 10.1016/j.geoderma.2022.116254
3 citations as recorded by crossref.
- A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt H. Kimm et al. 10.1088/1748-9326/ac3b16
- Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems G. Wu et al. 10.1038/s41597-024-03004-w
- Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus G. Wu et al. 10.1016/j.agrformet.2022.109046
Latest update: 18 Apr 2024
Short summary
Photosynthesis, quantified by gross primary production (GPP), is a key Earth system process. To date, there is a lack of a high-spatiotemporal-resolution, real-time and observation-based GPP dataset. This work addresses this gap by developing a SatelLite Only Photosynthesis Estimation (SLOPE) model and generating a new GPP product, which is advanced in spatial and temporal resolutions, instantaneity, and quantitative uncertainty. The dataset will benefit a range of research and applications.
Photosynthesis, quantified by gross primary production (GPP), is a key Earth system process. To...
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