senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland
18 Pág. Departamento de Medio Ambiente y Agronomía
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| Language: | English |
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Elsevier
2021-05-01
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| Subjects: | Chlorophyll, GPP, Sun-induced fluorescence, Grassland, Hyperspectral, Senesced leaves, SenSCOPE, Photosynthesis, Plant functional traits, Radiative transfer, |
| Online Access: | http://hdl.handle.net/10261/295331 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100002946 https://api.elsevier.com/content/abstract/scopus_id/85101233833 |
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Chlorophyll GPP Sun-induced fluorescence Grassland Hyperspectral Senesced leaves SenSCOPE Photosynthesis Plant functional traits Radiative transfer Chlorophyll GPP Sun-induced fluorescence Grassland Hyperspectral Senesced leaves SenSCOPE Photosynthesis Plant functional traits Radiative transfer |
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Chlorophyll GPP Sun-induced fluorescence Grassland Hyperspectral Senesced leaves SenSCOPE Photosynthesis Plant functional traits Radiative transfer Chlorophyll GPP Sun-induced fluorescence Grassland Hyperspectral Senesced leaves SenSCOPE Photosynthesis Plant functional traits Radiative transfer Pacheco-Labrador, Javier El-Madany, Tarek S. Van der Tol, Christiaan Martin, M. Pilar González-Cascón, Rosario Pérez-Priego, Óscar Guan, Jinhong Moreno, Gerardo Carrara, Arnaud Reichstein, Markus Migliavacca, Mirco senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland |
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18 Pág.
Departamento de Medio Ambiente y Agronomía |
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Federal Ministry for Economics Affairs and Energy (Germany) |
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Federal Ministry for Economics Affairs and Energy (Germany) Pacheco-Labrador, Javier El-Madany, Tarek S. Van der Tol, Christiaan Martin, M. Pilar González-Cascón, Rosario Pérez-Priego, Óscar Guan, Jinhong Moreno, Gerardo Carrara, Arnaud Reichstein, Markus Migliavacca, Mirco |
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artículo |
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Chlorophyll GPP Sun-induced fluorescence Grassland Hyperspectral Senesced leaves SenSCOPE Photosynthesis Plant functional traits Radiative transfer |
| author |
Pacheco-Labrador, Javier El-Madany, Tarek S. Van der Tol, Christiaan Martin, M. Pilar González-Cascón, Rosario Pérez-Priego, Óscar Guan, Jinhong Moreno, Gerardo Carrara, Arnaud Reichstein, Markus Migliavacca, Mirco |
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Pacheco-Labrador, Javier |
| title |
senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland |
| title_short |
senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland |
| title_full |
senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland |
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senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland |
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senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland |
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senscope: modeling mixed canopies combining green and brown senesced leaves. evaluation in a mediterranean grassland |
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Elsevier |
| publishDate |
2021-05-01 |
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http://hdl.handle.net/10261/295331 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100002946 https://api.elsevier.com/content/abstract/scopus_id/85101233833 |
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dig-inia-es-10261-2953312024-05-17T21:15:52Z senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland Pacheco-Labrador, Javier El-Madany, Tarek S. Van der Tol, Christiaan Martin, M. Pilar González-Cascón, Rosario Pérez-Priego, Óscar Guan, Jinhong Moreno, Gerardo Carrara, Arnaud Reichstein, Markus Migliavacca, Mirco Federal Ministry for Economics Affairs and Energy (Germany) German Centre for Air and Space Travel Ministerio de Economía y Competitividad (España) European Commission El-Madany, Tarek S.[0000-0002-0726-7141] van der Tol, Christiaan [0000-0002-2484-8191] Martín, M. Pilar [0000-0002-5563-8461] González-Cascón, Rosario [0000-0003-3468-0967] Perez-Priego, Oscar [0000-0002-3138-3177] Moreno, Gerardo [0000-0001-8053-2696] Carrara, Arnaud [0000-0002-9095-8807] Reichstein, Markus [0000-0001-5736-1112] Migliavacca, Mirco [0000-0003-3546-8407] Chlorophyll GPP Sun-induced fluorescence Grassland Hyperspectral Senesced leaves SenSCOPE Photosynthesis Plant functional traits Radiative transfer 18 Pág. Departamento de Medio Ambiente y Agronomía The coupling of radiative transfer, energy balance, and photosynthesis models has brought new opportunities to characterize vegetation functional properties from space. However, these models do not accurately represent processes in ecosystems characterized by mixtures of green vegetation and senescent plant material (SPM), in particular grasslands. These inaccuracies limit the retrieval of vegetation biophysical and functional properties. Green and senesced plants feature contrasting spectral properties and carry out different functions that current coupled models do not represent separately. Besides, senescent pigments' absorption features change as SPM decomposes, and neither is this process well parameterized in radiative transfer models. This manuscript aims at overcoming these limitations. On the one hand, we have developed senSCOPE, a version of the Soil-Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) that separately represents light interaction and physiology of green and senesced leaves. On the other, we have characterized new specific absorption coefficients of senescent pigments (Ks) from optical measurements of SPM from a Mediterranean grassland. Sensitivity analyses revealed that compared to SCOPE, senSCOPE 1) predicts variables that respond more linearly to the faction of green leaf area; and 2) keeps high levels of absorbed photosynthetically active radiation in the green leaves, which leads to significant differences in leaf photosynthesis, non-photochemical quenching, and transpiration. Moreover, we compared SCOPE vs. senSCOPE's capability to provide estimates of functional and biophysical parameters of vegetation. We assimilated different combinations of reflectance factors (R), chlorophyll sun-induced fluorescence radiance in the O2-A band (F760), gross primary production (GPP), and thermal radiance (Lt) measured in a Mediterranean grassland. Besides, we compared the role of three different sets of Ks coefficients in the inversion of senSCOPE, two estimated from SPM. The performance of the inversions was assessed using field data and a pattern-oriented model evaluation approach. Unlike SCOPE, senSCOPE provided unbiased estimates of chlorophyll content (Cab) during the dry season. The use of SPM-specific Ks improved the representation of R in the near-infrared wavelengths; and, consequently, the estimation of leaf area index (LAI). Compared with field LAI, the coefficient of determination R2 increased from ~0.4 to ~0.6, depending on the inversion constraints. Compared with SCOPE, the new model and coefficients together reduced the root mean squared error between observed and modeled R (~40%), F760 (~30%), and GPP (~5%). Both models failed to represent Lt; in this case, senSCOPE featured larger uncertainties. The modeling approach we propose improves the simulation and retrieval of vegetation properties and function in grasslands. Further work is needed to test the applicability of senSCOPE in different ecosystems, improve the simulation of the thermal spectral domain, and better characterize the optical parameters of SPM. To do so, new databases of SPM optical and biophysical properties should be produced. JPL, MM and MR acknowledge the EnMAP project MoReDEHESHyReS “Modelling Responses of Dehesas with Hyperspectral Remote Sensing” (Contract No. 50EE1621, German Aerospace Center (DLR) and the German Federal Ministry of Economic Affairs and Energy). Authors acknowledge the Alexander von Humboldt Foundation for supporting this research with the Max-Planck Prize to Markus Reichstein; the project SynerTGE “Landsat-8+Sentinel-2: exploring sensor synergies for monitoring and modeling key vegetation biophysical variables in tree-grass ecosystems” (CGL2015-69095-R, MINECO/FEDER,UE); and the project FLUχPEC “Monitoring changes in water and carbon fluxes from remote and proximal sensing in Mediterranean ‘dehesa’ ecosystem” (CGL2012-34383, Spanish Ministry of Economy and Competitiveness). Peer reviewed 2023-02-20T12:02:58Z 2023-02-20T12:02:58Z 2021-05-01 artículo http://purl.org/coar/resource_type/c_6501 Remote Sensing of Environment 257: e112352 (2021) 0034-4257 http://hdl.handle.net/10261/295331 10.1016/j.rse.2021.112352 1879-0704 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100002946 2-s2.0-85101233833 https://api.elsevier.com/content/abstract/scopus_id/85101233833 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO//CGL2015-69095-R/ES/LANDSAT-8+SENTINEL-2: EXPLORANDO SINERGIAS PARA EL SEGUIMIENTO Y MODELIZACION DE VARIABLES BIOFISICAS DE LA VEGETACION EN ECOSISTEMAS TREE-GRASS/ info:eu-repo/grantAgreement/MINECO//CGL2012-34383 Remote Sensing of Environment Publisher's version https://doi.org/10.1016/j.rse.2021.112352 Sí open Elsevier |