Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems
Abstract Sun-induced chlorophyll fluorescence (SIF) provides an opportunity to study terrestrial ecosystem photosynthesis dynamics. However, the current coarse spatiotemporal satellite SIF products are challenging for mechanistic interpretations of SIF signals. Long-term ground SIF and vegetation in...
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| Format: | Article |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03004-w |
| _version_ | 1797275902518755328 |
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| author | Genghong Wu Kaiyu Guan Hyungsuk Kimm Guofang Miao Xi Yang Chongya Jiang |
| author_facet | Genghong Wu Kaiyu Guan Hyungsuk Kimm Guofang Miao Xi Yang Chongya Jiang |
| author_sort | Genghong Wu |
| collection | DOAJ |
| description | Abstract Sun-induced chlorophyll fluorescence (SIF) provides an opportunity to study terrestrial ecosystem photosynthesis dynamics. However, the current coarse spatiotemporal satellite SIF products are challenging for mechanistic interpretations of SIF signals. Long-term ground SIF and vegetation indices (VIs) are important for satellite SIF validation and mechanistic understanding of the relationship between SIF and photosynthesis when combined with leaf- and canopy-level auxiliary measurements. In this study, we present and analyze a total of 15 site-years of ground far-red SIF (SIF at 760 nm, SIF760) and VIs datasets from soybean, corn, and miscanthus grown in the U.S. Corn Belt from 2016 to 2021. We introduce a comprehensive data processing protocol, including different retrieval methods, calibration coefficient adjustment, and nadir SIF footprint upscaling to match the eddy covariance footprint. This long-term ground far-red SIF and VIs dataset provides important and first-hand data for far-red SIF interpretation and understanding the mechanistic relationship between far-red SIF and canopy photosynthesis across various crop species and environmental conditions. |
| first_indexed | 2024-03-07T15:20:40Z |
| format | Article |
| id | doaj.art-25713fa2c75843e7bd50f3dde32c4c12 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-07T15:20:40Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-25713fa2c75843e7bd50f3dde32c4c122024-03-05T17:39:27ZengNature PortfolioScientific Data2052-44632024-02-0111111710.1038/s41597-024-03004-wGround far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystemsGenghong Wu0Kaiyu Guan1Hyungsuk Kimm2Guofang Miao3Xi Yang4Chongya Jiang5Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-ChampaignAgroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-ChampaignDepartment of Natural Resources and Environmental Sciences, College of Agricultural, Consumers, and Environmental Sciences, University of Illinois Urbana-ChampaignDepartment of Natural Resources and Environmental Sciences, College of Agricultural, Consumers, and Environmental Sciences, University of Illinois Urbana-ChampaignDepartment of Environmental Sciences, University of VirginiaAgroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-ChampaignAbstract Sun-induced chlorophyll fluorescence (SIF) provides an opportunity to study terrestrial ecosystem photosynthesis dynamics. However, the current coarse spatiotemporal satellite SIF products are challenging for mechanistic interpretations of SIF signals. Long-term ground SIF and vegetation indices (VIs) are important for satellite SIF validation and mechanistic understanding of the relationship between SIF and photosynthesis when combined with leaf- and canopy-level auxiliary measurements. In this study, we present and analyze a total of 15 site-years of ground far-red SIF (SIF at 760 nm, SIF760) and VIs datasets from soybean, corn, and miscanthus grown in the U.S. Corn Belt from 2016 to 2021. We introduce a comprehensive data processing protocol, including different retrieval methods, calibration coefficient adjustment, and nadir SIF footprint upscaling to match the eddy covariance footprint. This long-term ground far-red SIF and VIs dataset provides important and first-hand data for far-red SIF interpretation and understanding the mechanistic relationship between far-red SIF and canopy photosynthesis across various crop species and environmental conditions.https://doi.org/10.1038/s41597-024-03004-w |
| spellingShingle | Genghong Wu Kaiyu Guan Hyungsuk Kimm Guofang Miao Xi Yang Chongya Jiang Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems Scientific Data |
| title | Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems |
| title_full | Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems |
| title_fullStr | Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems |
| title_full_unstemmed | Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems |
| title_short | Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems |
| title_sort | ground far red sun induced chlorophyll fluorescence and vegetation indices in the us midwestern agroecosystems |
| url | https://doi.org/10.1038/s41597-024-03004-w |
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