High‐Resolution Global Contiguous SIF of OCO‐2
Abstract The Orbiting Carbon Observatory‐2 (OCO‐2) collects solar‐induced chlorophyll fluorescence (SIF) at high spatial resolution along orbits ( SIF¯oco2_orbit), but its discontinuous spatial coverage precludes its full potential for understanding the mechanistic SIF‐photosynthesis relationship. T...
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| Format: | Article |
| Language: | English |
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Wiley
2019-02-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2018GL081109 |
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| author | L. Yu J. Wen C. Y. Chang C. Frankenberg Y. Sun |
| author_facet | L. Yu J. Wen C. Y. Chang C. Frankenberg Y. Sun |
| author_sort | L. Yu |
| collection | DOAJ |
| description | Abstract The Orbiting Carbon Observatory‐2 (OCO‐2) collects solar‐induced chlorophyll fluorescence (SIF) at high spatial resolution along orbits ( SIF¯oco2_orbit), but its discontinuous spatial coverage precludes its full potential for understanding the mechanistic SIF‐photosynthesis relationship. This study developed a spatially contiguous global OCO‐2 SIF product at 0.05° and 16‐day resolutions ( SIF¯oco2_005) using machine learning constrained by physiological understandings. This was achieved by stratifying biomes and times for training and predictions, which accounts for varying plant physiological properties in space and time. SIF¯oco2_005 accurately preserved the spatiotemporal variations of SIF¯oco2_orbit across the globe. Validation of SIF¯oco2_005 with Chlorophyll Fluorescence Imaging Spectrometer airborne measurements revealed striking consistency (R2 = 0.72; regression slope = 0.96). Further, without time and biome stratification, (1) SIF¯oco2_005 of croplands, deciduous temperate, and needleleaf forests would be underestimated during the peak season, (2) SIF¯oco2_005 of needleleaf forests would be overestimated during autumn, and (3) the capability of SIF¯oco2_005 to detect drought would be diminished. |
| format | Article |
| id | doaj-art-914acea84d3c4e2ba78d7ca0876681be |
| institution | Kabale University |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2019-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-914acea84d3c4e2ba78d7ca0876681be2025-08-20T03:49:45ZengWileyGeophysical Research Letters0094-82761944-80072019-02-014631449145810.1029/2018GL081109High‐Resolution Global Contiguous SIF of OCO‐2L. Yu0J. Wen1C. Y. Chang2C. Frankenberg3Y. Sun4School of Integrative Plant Science, Soil and Crop Sciences Section Cornell University Ithaca NY USASchool of Integrative Plant Science, Soil and Crop Sciences Section Cornell University Ithaca NY USASchool of Integrative Plant Science, Soil and Crop Sciences Section Cornell University Ithaca NY USADivision of Geological and Planetary Sciences California Institute of Technology Pasadena CA USASchool of Integrative Plant Science, Soil and Crop Sciences Section Cornell University Ithaca NY USAAbstract The Orbiting Carbon Observatory‐2 (OCO‐2) collects solar‐induced chlorophyll fluorescence (SIF) at high spatial resolution along orbits ( SIF¯oco2_orbit), but its discontinuous spatial coverage precludes its full potential for understanding the mechanistic SIF‐photosynthesis relationship. This study developed a spatially contiguous global OCO‐2 SIF product at 0.05° and 16‐day resolutions ( SIF¯oco2_005) using machine learning constrained by physiological understandings. This was achieved by stratifying biomes and times for training and predictions, which accounts for varying plant physiological properties in space and time. SIF¯oco2_005 accurately preserved the spatiotemporal variations of SIF¯oco2_orbit across the globe. Validation of SIF¯oco2_005 with Chlorophyll Fluorescence Imaging Spectrometer airborne measurements revealed striking consistency (R2 = 0.72; regression slope = 0.96). Further, without time and biome stratification, (1) SIF¯oco2_005 of croplands, deciduous temperate, and needleleaf forests would be underestimated during the peak season, (2) SIF¯oco2_005 of needleleaf forests would be overestimated during autumn, and (3) the capability of SIF¯oco2_005 to detect drought would be diminished.https://doi.org/10.1029/2018GL081109SIFOCO‐2GPPMachine LearningCarbon Cycle |
| spellingShingle | L. Yu J. Wen C. Y. Chang C. Frankenberg Y. Sun High‐Resolution Global Contiguous SIF of OCO‐2 Geophysical Research Letters SIF OCO‐2 GPP Machine Learning Carbon Cycle |
| title | High‐Resolution Global Contiguous SIF of OCO‐2 |
| title_full | High‐Resolution Global Contiguous SIF of OCO‐2 |
| title_fullStr | High‐Resolution Global Contiguous SIF of OCO‐2 |
| title_full_unstemmed | High‐Resolution Global Contiguous SIF of OCO‐2 |
| title_short | High‐Resolution Global Contiguous SIF of OCO‐2 |
| title_sort | high resolution global contiguous sif of oco 2 |
| topic | SIF OCO‐2 GPP Machine Learning Carbon Cycle |
| url | https://doi.org/10.1029/2018GL081109 |
| work_keys_str_mv | AT lyu highresolutionglobalcontiguoussifofoco2 AT jwen highresolutionglobalcontiguoussifofoco2 AT cychang highresolutionglobalcontiguoussifofoco2 AT cfrankenberg highresolutionglobalcontiguoussifofoco2 AT ysun highresolutionglobalcontiguoussifofoco2 |