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Depósito Digital de Documentos de la UAB Encontrados 40 registros  1 - 10siguientefinal  ir al registro: La búsqueda tardó 0.01 segundos. 
1.
15 p, 3.5 MB A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning / Mijares i Verdú, Sebastià (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Ballé, Johannes (Google Research) ; Laparra, Valero (Universitat de Valencia. Laboratori de Processament d'imatges) ; Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Two key hurdles to the adoption of Machine Learning (ML) techniques in hyperspectral data compression are computational complexity and scalability for large numbers of bands. These are due to the limited computing capacity available in remote sensing platforms and the high computational cost of compression algorithms for hyperspectral data, especially when the number of bands is large. [...]
2023 - 10.3390/rs15184422
Remote sensing (Basel), Vol. 15, Issue 18 (September 2023) , art. 4422  
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2.
24 p, 12.6 MB Modelling Two Sugarcane Agro-Industrial Yields Using Sentinel/Landsat Time-Series Data and Their Spatial Validation at Different Scales in Costa Rica / Alemán-Montes, Bryan (Universitat Autònoma de Barcelona. Departament de Geografia) ; Zabala Torres, Alaitz (Universitat Autònoma de Barcelona. Departament de Geografia) ; Henríquez, Carlos (Universidad de Costa Rica. Centro de Investigaciones Agronómicas) ; Serra Ruiz, Pere (Universitat Autònoma de Barcelona. Departament de Geografia)
Sugarcane production is a relevant socioeconomic activity in Costa Rica that requires tools to improve decision-making, particularly with the advancement of agronomic management using remote sensing (RS) techniques. [...]
2023 - 10.3390/rs15235476
Remote sensing (Basel), Vol. 15, Issue 23 (December 2023) , art. 5476  
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3.
4 p, 188.3 KB Earth Observations for Sustainable Development Goals / Maso, Joan (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Zabala Torres, Alaitz (Universitat Autònoma de Barcelona. Departament de Geografia) ; Serral Montoro, Ivette (Centre de Recerca Ecològica i d'Aplicacions Forestals)
2023 - 10.3390/rs15102570
Remote sensing (Basel), Vol. 15, Issue 10 (May 2023) , art. 2570  
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4.
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  
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5.
15 p, 1.7 MB G-reqs, a New Model Proposal for Capturing and Managing In Situ Data Requirements : First Results in the Context of the Group on Earth Observations / Maso, Joan (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Brobia, Alba (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Voidrot, Marie F. (Open Geospatial Consortium Europe) ; Zabala Torres, Alaitz (Universitat Autònoma de Barcelona. Departament de Geografia) ; Serral Montoro, Ivette (Centre de Recerca Ecològica i d'Aplicacions Forestals)
In the field of Earth observation, the importance of in situ data was recognized by the Group on Earth Observations (GEO) in the Canberra Declaration in 2019. The GEO community focuses on three global priority engagement areas: the United Nations 2030 Agenda for Sustainable Development, the Paris Agreement, and the Sendai Framework for Disaster Risk Reduction. [...]
2023 - 10.3390/rs15061589
Remote sensing (Basel), Vol. 15, Issue 6 (March 2023) , art. 1589  
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6.
18 p, 2.4 MB Machine learning for mineral identification and ore estimation from hyperspectral imagery in tin-tungsten deposits : Simulation under indoor conditions / Lobo, Agustin (Geosciences Barcelona) ; Garcia, Emma (Lithica) ; Barroso, Gisela (Universitat Autònoma de Barcelona) ; Martí, David (Lithica) ; Fernandez-Turiel, Jose-Luis (Geosciences Barcelona) ; Ibañez-Insa, Jordi (Geosciences Barcelona)
This study aims to assess the feasibility of delineating and identifying mineral ores from hyperspectral images of tin-tungsten mine excavation faces using machine learning classification. We compiled a set of hand samples of minerals of interest from a tin-tungsten mine and analyzed two types of hyperspectral images: (1) images acquired with a laboratory set-up under close-to-optimal conditions, and (2) a scan of a simulated mine face using a field set-up, under conditions closer to those in the gallery. [...]
2021 - 10.3390/rs13163258
Remote sensing (Basel), Vol. 13, Issue 16 (August 2021) , art. 3258  
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7.
5 p, 210.7 KB Editorial to special issue "remote sensing data compression" / Vozel, Benoit (University of Rennes 1. Engineering School of Applied Sciences and Technology) ; Lukin, Vladimir (National Aerospace University. Department of Information and Communication Technologies) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
A huge amount of remote sensing data is acquired each day, which is transferred to image processing centers and/or to customers. Due to different limitations, compression has to be applied on-board and/or on-the-ground. [...]
2021 - 10.3390/rs13183727
Remote sensing (Basel), Vol. 13, Issue 18 (September 2021) , art. 3727  
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8.
18 p, 2.3 MB Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S leaf area index products in maize crops / 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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9.
9 p, 4.0 MB Evaluation and normalization of topographic effects on vegetation indices / Chen, Rui (Southwest Jiaotong University) ; Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Liu, Guoxiang (Southwest Jiaotong University) ; Li, Jing (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals)
The normalization of topographic effects on vegetation indices (VIs) is a prerequisite for their proper use in mountainous areas. We assessed the topographic effects on the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), the soil adjusted vegetation index (SAVI), and the near-infrared reflectance of terrestrial vegetation (NIRv) calculated from Sentinel-2. [...]
2020 - 10.3390/rs12142290
Remote sensing (Basel), Vol. 12, Issue 14 (July 2020) , art. 2290  
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10.
18 p, 4.1 MB Satellite-based monitoring of primary production in a mediterranean islet post black rat eradication / Ibañez-Álvarez, Miguel (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Santasusana, Pol (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals) ; Calleja, Juan Antonio (Universidad Autónoma de Madrid. Centro de Investigación en Biodiversidad y Cambio Global) ; Rouco, Carlos (Universidad de Córdoba. Departamento de Botánica, Ecología y Fisiología Vegetal) ; Brolly, Matthew (University of Brighton. Centre for Earth Observation Sciences) ; Burnside, Niall (University of Brighton. Centre for Earth Observation Sciences) ; Baraza Ruíz, Elena (Universitat de les Illes Balears. Departament de Biologia) ; Bartolomé, Jordi (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Serrano Ferron, Emmanuel (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals)
Invasive rodents have a detrimental impact on terrestrial ecosystem functioning, this is often exacerbated on small islands. Rat eradication campaigns are often used to deal with this environmental perturbation given their classification as invasive species. [...]
2022 - 10.3390/rs14010101
Remote sensing (Basel), Vol. 14 Núm. 1 (1-1 2022) , p. 101  
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Depósito Digital de Documentos de la UAB : Encontrados 40 registros   1 - 10siguientefinal  ir al registro:
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