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Dipòsit Digital de Documents de la UAB 73 registres trobats  1 - 10següentfinal  anar al registre: La cerca s'ha fet en 0.01 segons. 
1.
Competition between biogeochemical drivers and land-cover changes determines urban greening or browning / Li, Long (Nanjing University. International Institute for Earth System Science) ; Zhan, Wenfeng (Nanjing University. International Institute for Earth System Science) ; Ju, Weimin (Nanjing University. International Institute for Earth System Science) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Zhu, Zaichun (Peking University. Peking University Shenzhen Graduate School) ; Peng, Shushi (Peking University. Sino-French Institute for Earth System Science) ; Zhu, Xiaolin (The Hong Kong Polytechnic University. Department of Land Surveying and Geo-Informatics) ; Liu, Zihan (Nanjing University. International Institute for Earth System Science) ; Zhou, Yuyu (Iowa State University. Department of Geological and Atmospheric Sciences) ; Li, Jiufeng (Nanjing University. International Institute for Earth System Science) ; Lai, Jiameng (Nanjing University. International Institute for Earth System Science) ; Huang, Fan (Nanjing University. International Institute for Earth System Science) ; Yin, Gaofei (Southwest Jiaotong University) ; Fu, Yongshuo (Beijing Normal University) ; Li, Manchun (Nanjing University) ; Yu, Chao (Chinese Academy of Sciences. The Aerospace Information Research Institute)
Urban vegetation, a harbinger of future global vegetation change, is controlled by complex urban environments. The urban-rural gradient in vegetation greenness trends and their responses to biogeochemical drivers (e. [...]
2023 - 10.1016/j.rse.2023.113481
Remote sensing of environment, Vol. 287 (March 2023) , art. 113481  
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2.
47 p, 1.6 MB Green area index from an unmanned aerial system over wheat and rapeseed crops / Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Vigneau, Nathalie (AIRINOV (France)) ; Chéron, Corentin (AIRINOV (France)) ; Gilliot, Jean-Marc (AgroParisTech) ; Comar, Alexis (Institut National de la Recherche Agronomique (França)) ; Baret, Frédéric (Institut National de la Recherche Agronomique (França))
Unmanned airborne systems (UAS) technology opens new horizons in precision agriculture for effective characterization of the variability in crop state at high spatial resolution and high revisit frequency. [...]
2014 - 10.1016/j.rse.2014.06.006
Remote sensing of environment, Vol. 152 (September 2014) , p. 654-664  
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3.
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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4.
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 València. Image Processing Laboratory) ; 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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5.
5 p, 4.2 MB Reduced-Complexity Multirate Remote Sensing Data Compression With Neural Networks / Mijares i Verdú, Sebastià (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Chabert, Marie (Université de Toulouse) ; Oberlin, Thomas (Université de Toulouse) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
One of the main limitations to the adoption of deep learning for image compression is the need to train multiple models to compress at multiple rates. In the case of onboard remote sensing data compression, another limitation is the computational cost of the neural networks. [...]
2023 - 10.1109/LGRS.2023.3325477
IEEE Geoscience and Remote Sensing Letters, Vol. 20 (October 2023) , art. 6011705  
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6.
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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7.
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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8.
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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9.
5 p, 276.1 KB Effects of JPEG and JPEG2000 lossy compression on remote sensing image classification for mapping crops and forest areas / Zabala Torres, Alaitz (Universitat Autònoma de Barcelona. Departament de Geografia) ; Pons, Xavier (Universitat Autònoma de Barcelona. Departament de Geografia) ; Díaz-Delgado, Ricardo (Estación Biológica de Doñana) ; García, Fernando (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Aulí Llinàs, Francesc (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)
This study measures the effect of lossy image compression on the digital classification of crops and forest areas. A hybrid classification method using satellite images and other variables has been used. [...]
Denver : The Institute of Electrical and Electronics Engineers, 2006 - 10.1109/IGARSS.2006.203
26th International Geoscience and Remote Sensing Symposium, 2006, p. 790-793  
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10.
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  
Registre complet - Creative Commons

Dipòsit Digital de Documents de la UAB : 73 registres trobats   1 - 10següentfinal  anar al registre:
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