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Resultados globales: 5 registros encontrados en 0.02 segundos.
Artículos, Encontrados 5 registros
Artículos Encontrados 5 registros  
1.
12 p, 1.7 MB Photosynthetically active radiation and foliage clumping improve satellite-based NIRv estimates of gross primary production / Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Balzarolo, Manuela (Universiteit Antwerpen. Departement Biologie) ; Liu, Guoxiang (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Fang, Hongliang (Chinese Academy of Sciences. Institute of Geographic Sciences and Natural Resources Research) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Monitoring gross primary production (GPP) is necessary for quantifying the terrestrial carbon balance. The near-infrared reflectance of vegetation (NIRv) has been proven to be a good predictor of GPP. [...]
2023 - 10.3390/rs15082207
Remote sensing (Basel), Vol. 15, Issue 8 (April 2023) , art. 2207  
Registro completo - Creative Commons
2.
16 p, 4.3 MB Monitoring spatial and temporal variabilities of gross primary production using MAIAC MODIS data / Fernández-Martínez, Marcos (University of Antwerp. Centre of Excellence PLECO) ; Yu, Rong (University of Nebraska-Lincoln. Center for Advanced Land Management Information Technologies) ; Gamon, John (University of Alberta. Earth & Atmospheric Sciences, and Biological Sciences) ; Hmimina, Gabriel (University of Nebraska-Lincoln. Center for Advanced Land Management Information Technologies) ; Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Balzarolo, Manuela (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Stocker, Benjamin (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Remotely sensed vegetation indices (RSVIs) can be used to efficiently estimate terrestrial primary productivity across space and time. Terrestrial productivity, however, has many facets (e. g. , spatial and temporal variability, including seasonality, interannual variability, and trends), and different vegetation indices may not be equally good at predicting them. [...]
2019 - 10.3390/rs11070874
Remote sensing (Basel), Vol. 11, Issue 7 (April 2019) , art. 874  
Registro completo - Creative Commons
3.
16 p, 17.4 MB A MODIS photochemical reflectance index (PRI) as an estimator of isoprene emissions in a temperate deciduous forest / Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Zhang, Chao (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Seco, Roger (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Potosnak, Mark (DePaul University. Department of Environmental Science and Studies) ; Guenther, Alex (University of California. Department of Earth System Science) ; Karl, Thomas (University of Innsbruck. Institute of Atmospheric and Cryospheric Sciences) ; Gamon, John A. (University of Nebraska-Lincoln. School of Natural Resources) ; Pallardy, Stephen (University of Missouri. Department of Forestry) ; Gu, Lianhong (Oak Ridge National Laboratory. Environmental Sciences Division) ; Kim, Saewung (University of California. Department of Earth System Science) ; Balzarolo, Manuela (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Fernández-Martínez, Marcos (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
The quantification of isoprene and monoterpene emissions at the ecosystem level with available models and field measurements is not entirely satisfactory. Remote-sensing techniques can extend the spatial and temporal assessment of isoprenoid fluxes. [...]
2018 - 10.3390/rs10040557
Remote sensing (Basel), Vol. 10, No. 4 (April 2018) , art. 557  
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4.
17 p, 1.1 MB A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers / Gamon, John A. (University of Nebraska-Lincoln. Center for Advanced Land Management Information Technologies.) ; Huemmrich, K. Fred (Goddard Space Flight Center) ; Wong, Christopher Y. S. (University of Toronto. Department of Biology) ; Ensminger, Ingo (University of Toronto. Department of Biology) ; Garrity, Steven (Decagon Devices, Inc.) ; Hollinger, David Y. (United States. Forest Service. Northern Research Station) ; Noormets, Asko (North Carolina State University. Departament of Forestry and Environmental Resources) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
In evergreen conifers, where the foliage amount changes little with season, accurate detection of the underlying "photosynthetic phenology" from satellite remote sensing has been difficult, presenting challenges for global models of ecosystem carbon uptake. [...]
2016 - 10.1073/pnas.1606162113
Proceedings of the National Academy of Sciences of the United States of America, Vol. 113, Issue 46 (November 2016) , p. 13087-13092  
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5.
33 p, 5.0 MB Affecting factors and recent improvements of the photochemical reflectance index (PRI) for remotely sensing foliar, canopy and ecosystemic radiation-use efficiencies / Zhang, Chao (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Filella, Iolanda (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia) ; Garbulsky, Martín Fabio (University of Buenos Aires. Facultad de Agronomía) ; Peñuelas, Josep (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia)
Accurately assessing terrestrial gross primary productivity (GPP) is crucial for characterizing the climate-carbon cycle. Remotely sensing the photochemical reflectance index (PRI) across vegetation functional types and spatiotemporal scales has received increasing attention for monitoring photosynthetic performance and simulating GPP over the last two decades. [...]
2016 - 10.3390/rs8090677
Remote sensing (Basel), Vol. 8, issue 9 (Aug. 2016) , p. 1-33  
Registro completo - Creative Commons

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