Improved Vegetation Photosynthetic Phenology Monitoring in the Northern Ecosystems Using Total Canopy Solar‐Induced Chlorophyll Fluorescence Derived From TROPOMI. Liu, H., Liu, J., Yin, Y., Walther, S., Ma, X., Zhang, Z., & Chen, Y. Journal of Geophysical Research: Biogeosciences, 128(6):e2022JG007369, June, 2023. ![Improved Vegetation Photosynthetic Phenology Monitoring in the Northern Ecosystems Using Total Canopy Solar‐Induced Chlorophyll Fluorescence Derived From TROPOMI [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract Solar‐Induced chlorophyll Fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI) with substantially improved spatiotemporal resolutions provides a new potential to improve satellite‐based phenology monitoring. The performance of TROPOMI SIF for tracking vegetation photosynthetic phenology, and how it compares to conventional vegetation indices (VIs)‐based approaches, however, have not been adequately assessed. Total canopy SIF, as a better proxy of Gross Primary Productivity (GPP) than original directional SIF, is a new SIF to estimate phenology while its performance has not been investigated. This study assesses the capability of TROPOMI SIF before and after canopy correction for phenology monitoring and improves our understanding of these questions. Benchmarked by tower‐based GPP, TROPOMI SIF generally performed better than VIs, especially for capturing the End Of Season (EOS) of vegetation photosynthetic activity at deciduous broadleaf forest (DBF), evergreen forest (ENF), and croplands (CRO) sites, but not for Start Of Season (SOS). This suggested that the advantage of SIF over VIs depended on phenological metrics. The total canopy SIF emission obtained through canopy correction generally performed better than the original SIF retrievals, especially in estimating the EOS of forest sites (DBF, MF, ENF), but soil correction did not further improve the accuracy of phenological monitoring. When comparing SIF‐ and VI‐based phenological metrics over northern terrestrial ecosystems, SIF showed earlier senescence date widely, while the differences in onset date were region dependent. These results indicate the necessity of canopy correction to convert directional SIF to canopy total SIF when using satellite SIF products to estimate phenological metrics. , Plain Language Summary Phenology is an important ecological indicator of terrestrial carbon cycle, and satellite‐based remote sensing provides an effective approach to estimating phenological metrics over large scales. However, phenology monitoring using vegetation indices represents canopy “greenness” which is not fully synchronized with photosynthetic activity. Solar‐Induced chlorophyll Fluorescence (SIF) has great potential in phenology monitoring but is limited by the coarse spatiotemporal resolution. The emergence of TROPOspheric Monitoring Instrument (TROPOMI), with spatial resolution up to 7 km × 3.5 km and daily revisit, has brought new opportunities to SIF‐based phenology monitoring. This study demonstrated the advantages of TROPOMI SIF, especially at the total canopy level for phenology monitoring which had potential for improving large‐scale mapping of phenological characterizations. Specifically, total canopy SIF had much better accuracy than the original SIF observations, but soil correction did not have further improvement. This can provide a valuable reference for the application of TROPOMI SIF to monitor vegetation phenology. , Key Points Total canopy SIF emission (SIFtotal) from TROPOspheric Monitoring Instrument (TROPOMI) more accurately tracked the Gross Primary Productivity (GPP) trajectory than original TROPOMI SIF SIFtotal from TROPOMI outperformed MODIS EVI and NIR V in phenology monitoring using GPP as benchmark Soil correction did not further improve the performance of SIFtotal in phenology monitoring
@article{liu_improved_2023,
title = {Improved {Vegetation} {Photosynthetic} {Phenology} {Monitoring} in the {Northern} {Ecosystems} {Using} {Total} {Canopy} {Solar}‐{Induced} {Chlorophyll} {Fluorescence} {Derived} {From} {TROPOMI}},
volume = {128},
issn = {2169-8953, 2169-8961},
url = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JG007369},
doi = {10.1029/2022JG007369},
abstract = {Abstract
Solar‐Induced chlorophyll Fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI) with substantially improved spatiotemporal resolutions provides a new potential to improve satellite‐based phenology monitoring. The performance of TROPOMI SIF for tracking vegetation photosynthetic phenology, and how it compares to conventional vegetation indices (VIs)‐based approaches, however, have not been adequately assessed. Total canopy SIF, as a better proxy of Gross Primary Productivity (GPP) than original directional SIF, is a new SIF to estimate phenology while its performance has not been investigated. This study assesses the capability of TROPOMI SIF before and after canopy correction for phenology monitoring and improves our understanding of these questions. Benchmarked by tower‐based GPP, TROPOMI SIF generally performed better than VIs, especially for capturing the End Of Season (EOS) of vegetation photosynthetic activity at deciduous broadleaf forest (DBF), evergreen forest (ENF), and croplands (CRO) sites, but not for Start Of Season (SOS). This suggested that the advantage of SIF over VIs depended on phenological metrics. The total canopy SIF emission obtained through canopy correction generally performed better than the original SIF retrievals, especially in estimating the EOS of forest sites (DBF, MF, ENF), but soil correction did not further improve the accuracy of phenological monitoring. When comparing SIF‐ and VI‐based phenological metrics over northern terrestrial ecosystems, SIF showed earlier senescence date widely, while the differences in onset date were region dependent. These results indicate the necessity of canopy correction to convert directional SIF to canopy total SIF when using satellite SIF products to estimate phenological metrics.
,
Plain Language Summary
Phenology is an important ecological indicator of terrestrial carbon cycle, and satellite‐based remote sensing provides an effective approach to estimating phenological metrics over large scales. However, phenology monitoring using vegetation indices represents canopy “greenness” which is not fully synchronized with photosynthetic activity. Solar‐Induced chlorophyll Fluorescence (SIF) has great potential in phenology monitoring but is limited by the coarse spatiotemporal resolution. The emergence of TROPOspheric Monitoring Instrument (TROPOMI), with spatial resolution up to 7 km × 3.5 km and daily revisit, has brought new opportunities to SIF‐based phenology monitoring. This study demonstrated the advantages of TROPOMI SIF, especially at the total canopy level for phenology monitoring which had potential for improving large‐scale mapping of phenological characterizations. Specifically, total canopy SIF had much better accuracy than the original SIF observations, but soil correction did not have further improvement. This can provide a valuable reference for the application of TROPOMI SIF to monitor vegetation phenology.
,
Key Points
Total canopy SIF emission (SIFtotal) from TROPOspheric Monitoring Instrument (TROPOMI) more accurately tracked the Gross Primary Productivity (GPP) trajectory than original TROPOMI SIF
SIFtotal from TROPOMI outperformed MODIS EVI and NIR
V
in phenology monitoring using GPP as benchmark
Soil correction did not further improve the performance of SIFtotal in phenology monitoring},
language = {en},
number = {6},
urldate = {2024-11-15},
journal = {Journal of Geophysical Research: Biogeosciences},
author = {Liu, Haoran and Liu, Junzhi and Yin, Yueqiang and Walther, Sophia and Ma, Xuanlong and Zhang, Zhaoying and Chen, Yuhan},
month = jun,
year = {2023},
pages = {e2022JG007369},
}
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{"_id":"4u75QYTNdo9wuzDbs","bibbaseid":"liu-liu-yin-walther-ma-zhang-chen-improvedvegetationphotosyntheticphenologymonitoringinthenorthernecosystemsusingtotalcanopysolarinducedchlorophyllfluorescencederivedfromtropomi-2023","author_short":["Liu, H.","Liu, J.","Yin, Y.","Walther, S.","Ma, X.","Zhang, Z.","Chen, Y."],"bibdata":{"bibtype":"article","type":"article","title":"Improved Vegetation Photosynthetic Phenology Monitoring in the Northern Ecosystems Using Total Canopy Solar‐Induced Chlorophyll Fluorescence Derived From TROPOMI","volume":"128","issn":"2169-8953, 2169-8961","url":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JG007369","doi":"10.1029/2022JG007369","abstract":"Abstract Solar‐Induced chlorophyll Fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI) with substantially improved spatiotemporal resolutions provides a new potential to improve satellite‐based phenology monitoring. The performance of TROPOMI SIF for tracking vegetation photosynthetic phenology, and how it compares to conventional vegetation indices (VIs)‐based approaches, however, have not been adequately assessed. Total canopy SIF, as a better proxy of Gross Primary Productivity (GPP) than original directional SIF, is a new SIF to estimate phenology while its performance has not been investigated. This study assesses the capability of TROPOMI SIF before and after canopy correction for phenology monitoring and improves our understanding of these questions. Benchmarked by tower‐based GPP, TROPOMI SIF generally performed better than VIs, especially for capturing the End Of Season (EOS) of vegetation photosynthetic activity at deciduous broadleaf forest (DBF), evergreen forest (ENF), and croplands (CRO) sites, but not for Start Of Season (SOS). This suggested that the advantage of SIF over VIs depended on phenological metrics. The total canopy SIF emission obtained through canopy correction generally performed better than the original SIF retrievals, especially in estimating the EOS of forest sites (DBF, MF, ENF), but soil correction did not further improve the accuracy of phenological monitoring. When comparing SIF‐ and VI‐based phenological metrics over northern terrestrial ecosystems, SIF showed earlier senescence date widely, while the differences in onset date were region dependent. These results indicate the necessity of canopy correction to convert directional SIF to canopy total SIF when using satellite SIF products to estimate phenological metrics. , Plain Language Summary Phenology is an important ecological indicator of terrestrial carbon cycle, and satellite‐based remote sensing provides an effective approach to estimating phenological metrics over large scales. However, phenology monitoring using vegetation indices represents canopy “greenness” which is not fully synchronized with photosynthetic activity. Solar‐Induced chlorophyll Fluorescence (SIF) has great potential in phenology monitoring but is limited by the coarse spatiotemporal resolution. The emergence of TROPOspheric Monitoring Instrument (TROPOMI), with spatial resolution up to 7 km × 3.5 km and daily revisit, has brought new opportunities to SIF‐based phenology monitoring. This study demonstrated the advantages of TROPOMI SIF, especially at the total canopy level for phenology monitoring which had potential for improving large‐scale mapping of phenological characterizations. Specifically, total canopy SIF had much better accuracy than the original SIF observations, but soil correction did not have further improvement. This can provide a valuable reference for the application of TROPOMI SIF to monitor vegetation phenology. , Key Points Total canopy SIF emission (SIFtotal) from TROPOspheric Monitoring Instrument (TROPOMI) more accurately tracked the Gross Primary Productivity (GPP) trajectory than original TROPOMI SIF SIFtotal from TROPOMI outperformed MODIS EVI and NIR V in phenology monitoring using GPP as benchmark Soil correction did not further improve the performance of SIFtotal in phenology monitoring","language":"en","number":"6","urldate":"2024-11-15","journal":"Journal of Geophysical Research: Biogeosciences","author":[{"propositions":[],"lastnames":["Liu"],"firstnames":["Haoran"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["Junzhi"],"suffixes":[]},{"propositions":[],"lastnames":["Yin"],"firstnames":["Yueqiang"],"suffixes":[]},{"propositions":[],"lastnames":["Walther"],"firstnames":["Sophia"],"suffixes":[]},{"propositions":[],"lastnames":["Ma"],"firstnames":["Xuanlong"],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["Zhaoying"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["Yuhan"],"suffixes":[]}],"month":"June","year":"2023","pages":"e2022JG007369","bibtex":"@article{liu_improved_2023,\n\ttitle = {Improved {Vegetation} {Photosynthetic} {Phenology} {Monitoring} in the {Northern} {Ecosystems} {Using} {Total} {Canopy} {Solar}‐{Induced} {Chlorophyll} {Fluorescence} {Derived} {From} {TROPOMI}},\n\tvolume = {128},\n\tissn = {2169-8953, 2169-8961},\n\turl = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JG007369},\n\tdoi = {10.1029/2022JG007369},\n\tabstract = {Abstract\n Solar‐Induced chlorophyll Fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI) with substantially improved spatiotemporal resolutions provides a new potential to improve satellite‐based phenology monitoring. The performance of TROPOMI SIF for tracking vegetation photosynthetic phenology, and how it compares to conventional vegetation indices (VIs)‐based approaches, however, have not been adequately assessed. Total canopy SIF, as a better proxy of Gross Primary Productivity (GPP) than original directional SIF, is a new SIF to estimate phenology while its performance has not been investigated. This study assesses the capability of TROPOMI SIF before and after canopy correction for phenology monitoring and improves our understanding of these questions. Benchmarked by tower‐based GPP, TROPOMI SIF generally performed better than VIs, especially for capturing the End Of Season (EOS) of vegetation photosynthetic activity at deciduous broadleaf forest (DBF), evergreen forest (ENF), and croplands (CRO) sites, but not for Start Of Season (SOS). This suggested that the advantage of SIF over VIs depended on phenological metrics. The total canopy SIF emission obtained through canopy correction generally performed better than the original SIF retrievals, especially in estimating the EOS of forest sites (DBF, MF, ENF), but soil correction did not further improve the accuracy of phenological monitoring. When comparing SIF‐ and VI‐based phenological metrics over northern terrestrial ecosystems, SIF showed earlier senescence date widely, while the differences in onset date were region dependent. These results indicate the necessity of canopy correction to convert directional SIF to canopy total SIF when using satellite SIF products to estimate phenological metrics.\n , \n Plain Language Summary\n Phenology is an important ecological indicator of terrestrial carbon cycle, and satellite‐based remote sensing provides an effective approach to estimating phenological metrics over large scales. However, phenology monitoring using vegetation indices represents canopy “greenness” which is not fully synchronized with photosynthetic activity. Solar‐Induced chlorophyll Fluorescence (SIF) has great potential in phenology monitoring but is limited by the coarse spatiotemporal resolution. The emergence of TROPOspheric Monitoring Instrument (TROPOMI), with spatial resolution up to 7 km × 3.5 km and daily revisit, has brought new opportunities to SIF‐based phenology monitoring. This study demonstrated the advantages of TROPOMI SIF, especially at the total canopy level for phenology monitoring which had potential for improving large‐scale mapping of phenological characterizations. Specifically, total canopy SIF had much better accuracy than the original SIF observations, but soil correction did not have further improvement. This can provide a valuable reference for the application of TROPOMI SIF to monitor vegetation phenology.\n , \n Key Points\n \n \n \n Total canopy SIF emission (SIFtotal) from TROPOspheric Monitoring Instrument (TROPOMI) more accurately tracked the Gross Primary Productivity (GPP) trajectory than original TROPOMI SIF\n \n \n \n SIFtotal from TROPOMI outperformed MODIS EVI and NIR\n V\n in phenology monitoring using GPP as benchmark\n \n \n \n Soil correction did not further improve the performance of SIFtotal in phenology monitoring},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2024-11-15},\n\tjournal = {Journal of Geophysical Research: Biogeosciences},\n\tauthor = {Liu, Haoran and Liu, Junzhi and Yin, Yueqiang and Walther, Sophia and Ma, Xuanlong and Zhang, Zhaoying and Chen, Yuhan},\n\tmonth = jun,\n\tyear = {2023},\n\tpages = {e2022JG007369},\n}\n\n\n\n\n\n\n\n","author_short":["Liu, H.","Liu, J.","Yin, Y.","Walther, S.","Ma, X.","Zhang, Z.","Chen, Y."],"key":"liu_improved_2023","id":"liu_improved_2023","bibbaseid":"liu-liu-yin-walther-ma-zhang-chen-improvedvegetationphotosyntheticphenologymonitoringinthenorthernecosystemsusingtotalcanopysolarinducedchlorophyllfluorescencederivedfromtropomi-2023","role":"author","urls":{"Paper":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JG007369"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/tereno","dataSources":["cq3J5xX6zmBvc2TQC"],"keywords":[],"search_terms":["improved","vegetation","photosynthetic","phenology","monitoring","northern","ecosystems","using","total","canopy","solar","induced","chlorophyll","fluorescence","derived","tropomi","liu","liu","yin","walther","ma","zhang","chen"],"title":"Improved Vegetation Photosynthetic Phenology Monitoring in the Northern Ecosystems Using Total Canopy Solar‐Induced Chlorophyll Fluorescence Derived From TROPOMI","year":2023}