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Depósito Digital de Documentos de la UAB Encontrados 12 registros  1 - 10siguiente  ir al registro: La búsqueda tardó 0.02 segundos. 
1.
22 p, 863.2 KB Near real-time vegetation monitoring at global scale / Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Baret, Frédéric (Institut National de la Recherche Agronomique (França)) ; Weiss, Marie (Institut National de la Recherche Agronomique (França))
The NRT algorithm for near-real time estimation of global LAI, FAPAR, and FCOVER variables from SPOT/VEGETATION (VGT) satellite data is described here. It consists of three steps: 1) neural networks (NNT) (one for each variable) to provide instantaneous estimates from daily VGT-P reflectances; 2) a multistep filtering approach to eliminate data mainly affected by atmospheric effects and snow cover; and 3) Savitzky-Golay and climatology temporal smoothing and gap filling techniques to ensure consistency and continuity as well as short-term projection of the product dynamics. [...]
2014 - 10.1109/JSTARS.2014.2328632
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, no. 8 (August 2014) , p. 3473-3481  
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2.
Local interpretation of machine learning models in remote sensing with SHAP : the case of global climate constraints on photosynthesis phenology / Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Yin, Gaofei (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Data-driven models using machine learning have been widely used in remote-sensing applications such as the retrieval of biophysical variables and land cover classification. However, these models behave as a 'black box', meaning that the relationships between the input and predicted variables are hard to interpret. [...]
2023 - 10.1080/01431161.2023.2217982
International Journal of Remote Sensing, Vol. 44, issue 10 (2023) , p. 3160-3173  
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3.
17 p, 588.5 KB Combining solar-induced chlorophyll fluorescence and optical vegetation indices to better understand plant phenological responses to global change / Zhang, Yao (Sino-French Institute for Earth System Science) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Recent advances in the satellite retrieval of solar-induced chlorophyll fluorescence (SIF) provide new opportunities for understanding the phenological responses of ecosystems to global climate change. [...]
2023 - 10.34133/remotesensing.0085
Journal of Remote Sensing, Vol. 3 (2023) , art. 0085  
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4.
21 p, 7.8 MB Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach / Tarazona Coronel, Yonatan (Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions) ; Zabala Torres, Alaitz (Universitat Autònoma de Barcelona. Departament de Geografia) ; Pons, Xavier (Universitat Autònoma de Barcelona. Departament de Geografia) ; Broquetas, Antoni (Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions) ; Nowosad, Jakub (Adam Mickiewicz University (Polònia). Institute of Geoecology and Geoinformation) ; Zurqani, Hamdi A. (Clemson University (Estats Units). Department of Forestry and Environmental Conservation)
This article focuses on mapping tropical deforestation using time series and machine learning algorithms. Before detecting changes in the time series, we reduced seasonality using Photosynthetic Vegetation (PV) index fractions obtained from Landsat images. [...]
2021 - 10.1080/07038992.2021.1941823
Canadian Journal of Remote Sensing, Vol. 47, núm. 5 (2021) , p. 677-696  
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5.
6 p, 1.5 MB A threshold method for robust and fast estimation of land-surface phenology using Google Earth Engine / Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Cloud-based platforms are changing the way of analyzing remotely sensed data by providing high computational power and rapid access to massive volumes of data. Several types of studies use cloud-based platforms for global-scale analyses, but the number of land-surface phenology (LSP) studies that use cloud-based platforms is low. [...]
2021 - 10.1109/JSTARS.2020.3039554
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14 (2021) , p. 601-606  
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6.
10 p, 1.2 MB A broadband green-red vegetation index for monitoring gross primary production phenology / Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
The chlorophyll/carotenoid index (CCI) is increasingly used for remotely tracking the phenology of photosynthesis. However, CCI is restricted to few satellites incorporating the 531nm band. This study reveals that the Moderate Resolution Imaging Spectroradiometer (MODIS) broadband green reflectance (band 4) is significantly correlated with this xanthophyll-sensitive narrowband (band 11) (R2 = 0:98, p < 0:001), and consequently, the broadband green-red vegetation index GRVI-computed with MODIS band 1 and band 4-is significantly correlated with CCI-computed with MODIS band 1 and band 11 (R2 = 0:97, p < 0:001). [...]
2022 - 10.34133/2022/9764982
Journal of Remote Sensing, Vol. 2022 (March 2022) , art. 9764982  
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7.
14 p, 3.3 MB Spatial and spectral pattern identification for the automatic selection of high-quality MODIS images / Pesquer Mayos, Lluís (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Domingo-Marimon, Cristina (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Pons, Xavier (Universitat Autònoma de Barcelona. Departament de Geografia)
Remote sensing is providing an increasing number of crucial data about Earth. Systematic revisitation time allows the analysis of long time series as well as imagery utilization in the most interesting moments. [...]
2019 - 10.1117/1.JRS.13.014510
Journal of applied remote sensing, Vol. 13, issue 1 (2019) , art 014510  
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8.
17 p, 3.3 MB Ten years of local water resource management : Integrating satellite remote sensing and geographical information systems / Pons, Xavier (Universitat Autònoma de Barcelona. Departament de Geografia) ; Cristóbal, Jordi (Universitat Autònoma de Barcelona. Departament de Geografia) ; González Guerrero, Óscar (Universitat Autònoma de Barcelona. Departament de Geografia) ; Riverola, Anna (Universitat Autònoma de Barcelona. Departament de Geografia) ; Serra Ruiz, Pere (Universitat Autònoma de Barcelona. Departament de Geografia) ; Cea López, Cristina (Universitat Autònoma de Barcelona. Departament de Geografia) ; Domingo-Marimon, Cristina (Universitat Autònoma de Barcelona. Departament de Geografia) ; Díaz, Paula (Universitat Autònoma de Barcelona. Departament de Geografia) ; Monterde, Manel (Agència Catalana de l'Aigua) ; Velasco, Enrique (Agència Catalana de l'Aigua)
On 2002, a novel initiative was undertaken by the local water administration of Catalonia (the Agència Catalana de l'Aigua) and the Universitat Autònoma de Barcelona, leading to a ten-year project where a high number of medium resolution satellite images (MODIS and Landsat) were integrated to the daily water management to improve decision making effectiveness. [...]
2012 - 10.5721/EuJRS20124528
European journal of remote sensing, Vol. 45, issue 1 (2012) , p. 317-332  
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9.
15 p, 567.3 KB Almost fixed quality rate-allocation under unequal scaling factors for on-board remote-sensing data compression / Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Albinet, Mathieu (Centre national d'études spatiales (França)) ; Camarero, Roberto (Centre national d'études spatiales (França)) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
This article extends a rate-allocation method based on the near-lossless-rate (NLR) complexity that is designed to operate on-board spacecrafts, to include support for distortion scaling factors, such as those that are needed to code multi- and hyperspectral image when a spectral transform is employed. [...]
2017 - 10.1080/01431161.2017.1334137
International journal of remote sensing, Vol. 39, issue 7 (April 2018)  
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10.
13 p, 707.8 KB Proposal for infrared atmospheric sounding interferometer on-board data compression / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Albinet, Mathieu (Centre national d'études spatiales (França)) ; Camarero, Roberto (Centre national d'études spatiales (França)) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
The Infrared Atmospheric Sounding Interferometer (IASI) system provides infrared soundings of moisture and temperature profiles, as well as soundings of chemical components. These measurements play a key role in atmospheric chemistry, global change and climate monitoring. [...]
2015 - 10.1117/1.JRS.9.097498
Journal of applied remote sensing, Vol. 9 Núm. 1 (May 2015) , 097498  
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Depósito Digital de Documentos de la UAB : Encontrados 12 registros   1 - 10siguiente  ir al registro:
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