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1.
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12 p, 6.4 MB |
GEOV2 : Improved smoothed and gap filled time series of LAI, FAPAR and FCover 1 km Copernicus Global Land products
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Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Sánchez-Zapero, Jorge (The Earth Observation Laboratory (EOLAB)) ;
Weiss, Marie (Avignon Université. Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement) ;
Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Camacho, Fernando (The Earth Observation Laboratory (EOLAB)) ;
Lacaze, Roselyne (Hygeos) ;
Baret, Frédéric (Avignon Université. Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Essential vegetation variables including leaf area index (LAI), fraction of absorbed photosynthetic active radiation (FAPAR) and fraction of green vegetation cover (FCover) are produced and distributed in the Copernicus Global Land Service. [...]
2023 -  10.1016/j.jag.2023.103479
International journal of applied earth observation and geoinformation, Vol. 123 (September 2023) , art. 103479
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2.
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18 p, 2.3 MB |
Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S leaf area index products in maize crops
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Yu, Huinan (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ;
Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Liu, Guoxiang (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ;
Ye, Yuanxin (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ;
Qu, Yonghua (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ;
Xu, Baodong (Huazhong Agricultural University. Macro Agriculture Research Institute) ;
Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals)
We proposed a direct approach to validate hectometric and kilometric resolution leaf area index (LAI) products that involved the scaling up of field-measured LAI via the validation and recalibration of the decametric Sentinel-2 LAI product. [...]
2021 - 10.3390/rs13224529
Remote sensing (Basel), Vol. 13, issue 22 (Nov. 2021) , art 4529
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3.
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29 p, 6.0 MB |
Quality assessment of PROBA-V LAI, fAPAR and fCOVER collection 300 m products of copernicus global land service
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Fuster, Beatriz (Parc Cientific University of Valencia. Earth Observation Laboratory) ;
Sánchez-Zapero, Jorge (Parc Cientific University of Valencia. Earth Observation Laboratory) ;
Camacho, Fernando (Parc Cientific University of Valencia. Earth Observation Laboratory) ;
García-Santos, Vicente (Parc Cientific University of Valencia. Earth Observation Laboratory) ;
Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Lacaze, Roselyne (HYGEOS (Lille, França)) ;
Weiss, Marie (Institut National de la Recherche Agronomique (França)) ;
Baret, Frédéric (Institut National de la Recherche Agronomique (França)) ;
Smets, Bruno (Vlaamse Instelling voor Technologisch Onderzoek)
The Copernicus Global Land Service (CGLS) provides global time series of leaf area index (LAI), fraction of absorbed photosynthetically active radiation (fAPAR) and fraction of vegetation cover (fCOVER) data at a resolution of 300 m and a frequency of 10 days. [...]
2020 - 10.3390/rs12061017
Remote sensing (Basel), Vol. 12, issue 6 (March 2020) , art. 1017
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4.
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17 p, 5.2 MB |
Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
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Bórnez Mejías, Kevin (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Richardson, Andrew D. (Northern Arizona University. School of Informatics, Computing and Cyber Systems) ;
Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
High-quality retrieval of land surface phenology (LSP) is increasingly important for understanding the effects of climate change on ecosystem function and biosphere-atmosphere interactions. We analyzed four state-of-the-art phenology methods: threshold, logistic-function, moving-average and first derivative based approaches, and retrieved LSP in the North Hemisphere for the period 1999-2017 from Copernicus Global Land Service (CGLS) SPOT-VEGETATION and PROBA-V leaf area index (LAI) 1 km V2. [...]
2020 - 10.3390/rs12183077
Remote sensing (Basel), Vol. 12, Issue 18 (September 2020) , p. 3077
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6.
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18 p, 4.5 MB |
Retrieval of high spatiotemporal resolution leaf area index with Gaussian processes, wireless sensor network, and satellite data fusion
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Yin, Gaofei (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ;
Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Qu, Yonghua (Beijing Normal University. Institute of Remote Sensing Science and Engineering) ;
Zhao, Wei (Chinese Academy of Sciences. Institute of Mountain Hazards and Environment) ;
Xu, Baodong (Huazhong Agricultural University. Macro Agriculture Research Institute) ;
Zeng, Yelu (Carnegie Institution for Science (Washington, Estats Units d'Amèrica). Department of Global Ecology) ;
Liu, Ke (Sichuan Academy of Agricultural Science. Institute of Remote Sensing Application) ;
Li, Jing (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ;
Liu, Qinhuo (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth)
Many applications, including crop growth and yield monitoring, require accurate long-term time series of leaf area index (LAI) at high spatiotemporal resolution with a quantification of the associated uncertainties. [...]
2019 - 10.3390/rs11030244
Remote sensing (Basel), Vol. 11, Issue 3 (February 2019) , art. 244
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7.
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48 p, 2.1 MB |
Vegetation baseline phenology from kilometric global LAI satellite products
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Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ;
Filella, Iolanda (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia) ;
Baret, Frédéric (Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes) ;
Peñuelas, Josep (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia)
Land surface phenology derived from remotely sensed satellite data can substantially improve our macroecological knowledge and the representation of phenology in earth system models. We characterized the baseline phenology of the vegetation at the global scale from the GEOCLIM climatology of leaf area index (LAI) estimated from 1-km SPOT-VEGETATION time series for 1999-2010. [...]
2016 - 10.1016/j.rse.2016.02.057
Remote sensing of environment, Vol. 178, (June 2016) , p. 1-14
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