Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites
The leaf maximum carboxylation rate (Vcmax) is a key parameter in modeling plant photosynthesis. The rapid and accurate acquisition of Vcmax at large scales can improve understanding of global vegetation productivity and the terrestrial carbon cycle. In this article, we assessed the retrieval of Vcm...
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IEEE
2021-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/9435953/ |
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| author | Xiaojin Qian Liangyun Liu Xidong Chen Pablo Zarco-Tejada |
| author_facet | Xiaojin Qian Liangyun Liu Xidong Chen Pablo Zarco-Tejada |
| author_sort | Xiaojin Qian |
| collection | DOAJ |
| description | The leaf maximum carboxylation rate (Vcmax) is a key parameter in modeling plant photosynthesis. The rapid and accurate acquisition of Vcmax at large scales can improve understanding of global vegetation productivity and the terrestrial carbon cycle. In this article, we assessed the retrieval of Vcmax from satellite data by validating these data using flux observations made at eight crop and grass sites. Firstly, an empirical model applicable to C<sub>3</sub> species that was based on the semimechanistic linkage between leaf chlorophyll and Vcmax was used to derive Vcmax from satellite data. Then, using vegetation, soil, and meteorological variables as inputs, the SCOPE model was used to estimate Vcmax from half-hourly or hourly flux observations at each site. The estimates of Vcmax were assessed by comparing the simulated gross primary production (GPP) against the observed GPP: that is, the Vcmax value corresponding to its simulated diurnal GPP data with minimum root-mean-square error (RMSE) was selected as the inverted Vcmax value. Finally, the Vcmax values retrieved from MERIS and Sentinel-3 OLCI satellite data were validated using the <italic>in situ</italic> flux site observations. The results showed that the estimates of Vcmax based on satellite data successfully captured the seasonal variations in Vcmax retrieved from the tower-based GPP data, giving a mean RMSE value of 15.30 <italic>μ</italic>mol m<sup>−2</sup> s<sup>−1</sup>. Our results support the retrieval of Vcmax from satellite data based on the link with leaf chlorophyll content and show that there was good agreement between Vcmax derived from remote sensing and flux data. |
| first_indexed | 2024-12-19T10:46:46Z |
| format | Article |
| id | doaj.art-4010e08abdf04f19a9a0242381a06713 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-19T10:46:46Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-4010e08abdf04f19a9a0242381a067132022-12-21T20:25:14ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01145352536010.1109/JSTARS.2021.30817049435953Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass SitesXiaojin Qian0Liangyun Liu1https://orcid.org/0000-0002-4984-1623Xidong Chen2https://orcid.org/0000-0001-9102-2974Pablo Zarco-Tejada3Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaUniversity of Melbourne, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, and Department of Infrastructure Engineering, Faculty of Engineering and Information Technology, Melbourne, VIC, AustraliaThe leaf maximum carboxylation rate (Vcmax) is a key parameter in modeling plant photosynthesis. The rapid and accurate acquisition of Vcmax at large scales can improve understanding of global vegetation productivity and the terrestrial carbon cycle. In this article, we assessed the retrieval of Vcmax from satellite data by validating these data using flux observations made at eight crop and grass sites. Firstly, an empirical model applicable to C<sub>3</sub> species that was based on the semimechanistic linkage between leaf chlorophyll and Vcmax was used to derive Vcmax from satellite data. Then, using vegetation, soil, and meteorological variables as inputs, the SCOPE model was used to estimate Vcmax from half-hourly or hourly flux observations at each site. The estimates of Vcmax were assessed by comparing the simulated gross primary production (GPP) against the observed GPP: that is, the Vcmax value corresponding to its simulated diurnal GPP data with minimum root-mean-square error (RMSE) was selected as the inverted Vcmax value. Finally, the Vcmax values retrieved from MERIS and Sentinel-3 OLCI satellite data were validated using the <italic>in situ</italic> flux site observations. The results showed that the estimates of Vcmax based on satellite data successfully captured the seasonal variations in Vcmax retrieved from the tower-based GPP data, giving a mean RMSE value of 15.30 <italic>μ</italic>mol m<sup>−2</sup> s<sup>−1</sup>. Our results support the retrieval of Vcmax from satellite data based on the link with leaf chlorophyll content and show that there was good agreement between Vcmax derived from remote sensing and flux data.https://ieeexplore.ieee.org/document/9435953/Gross primary production (GPP)leaf chlorophyll content (Cab)leaf maximum carboxylation rate (Vcmax)MERISSCOPESentinel-3 OLCI |
| spellingShingle | Xiaojin Qian Liangyun Liu Xidong Chen Pablo Zarco-Tejada Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Gross primary production (GPP) leaf chlorophyll content (Cab) leaf maximum carboxylation rate (Vcmax) MERIS SCOPE Sentinel-3 OLCI |
| title | Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites |
| title_full | Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites |
| title_fullStr | Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites |
| title_full_unstemmed | Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites |
| title_short | Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites |
| title_sort | assessment of satellite chlorophyll based leaf maximum carboxylation rate vcmax using flux observations at crop and grass sites |
| topic | Gross primary production (GPP) leaf chlorophyll content (Cab) leaf maximum carboxylation rate (Vcmax) MERIS SCOPE Sentinel-3 OLCI |
| url | https://ieeexplore.ieee.org/document/9435953/ |
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