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.
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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- 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
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- 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
- 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
- Incorporating environmental stress improves estimation of photosynthesis from NIRvP in US Great Plains pasturelands and Midwest croplands L. Gao et al. 10.1016/j.rse.2024.114516
- 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
- Tropospheric ozone pollution increases the sensitivity of plant production to vapor pressure deficit across diverse ecosystems in the Northern Hemisphere L. Gao et al. 10.1016/j.scitotenv.2024.175748
- 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
- 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
- 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
- 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
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
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Latest update: 13 Dec 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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