His main research concerns Remote sensing, Hyperspectral imaging, Chlorophyll fluorescence, Computer network and Fluorescence. His Remote sensing research is multidisciplinary, incorporating elements of Image resolution, Spectrometer, Imaging spectrometer and Radiative transfer. His work deals with themes such as Regression analysis and Leaf area index, which intersect with Hyperspectral imaging.
The concepts of his Computer network study are interwoven with issues in Energy consumption, Efficient energy use, Mobile telephony and Wireless. In his study, Wireless sensor network, Information exchange, Energy harvesting and Distributed computing is inextricably linked to Quality of service, which falls within the broad field of Energy consumption. His study in Efficient energy use is interdisciplinary in nature, drawing from both Cellular network, LTE Advanced and Base station.
Luis Alonso mainly focuses on Computer network, Remote sensing, Wireless, Efficient energy use and Energy consumption. His Computer network research includes themes of Distributed computing, Wireless network, Throughput and Communication channel. His research integrates issues of Spectrometer and Fluorescence, Chlorophyll fluorescence in his study of Remote sensing.
His Wireless study combines topics in areas such as Wireless sensor network, Access control, Real-time computing, Protocol and Local area network. His work carried out in the field of Efficient energy use brings together such families of science as Cellular network, Quality of service, Linear network coding, Heterogeneous network and Base station. His research investigates the connection between Energy consumption and topics such as Core network that intersect with issues in Backhaul.
Luis Alonso focuses on Computer network, Remote sensing, Wireless, Chlorophyll fluorescence and Fluorescence. His Computer network study integrates concerns from other disciplines, such as Energy consumption, Energy harvesting, Efficient energy use and Heterogeneous network. His work in the fields of Remote sensing, such as Hyperspectral imaging and Radiance, intersects with other areas such as Spectral resolution.
The various areas that he examines in his Wireless study include Distributed computing, Network packet, Wireless sensor network, Access control and Protocol. In his study, Atmospheric sciences and Vegetation is strongly linked to Canopy, which falls under the umbrella field of Chlorophyll fluorescence. His Fluorescence study incorporates themes from FLEX and Reflectivity.
His primary areas of investigation include Remote sensing, Chlorophyll fluorescence, Computer network, Canopy and Wireless sensor network. Luis Alonso studies Remote sensing, namely Hyperspectral imaging. Luis Alonso regularly links together related areas like Efficient energy use in his Computer network studies.
His Efficient energy use study combines topics from a wide range of disciplines, such as Cellular network, Resource management, Energy consumption, Heterogeneous network and Base station. His work deals with themes such as Photochemical Reflectance Index, Atmospheric sciences, Vegetation and Stomatal conductance, which intersect with Canopy. His Wireless sensor network study integrates concerns from other disciplines, such as Wireless, Testbed and Distributed computing.
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Is the Random Access Channel of LTE and LTE-A Suitable for M2M Communications? A Survey of Alternatives
Andres Laya;Luis Alonso;Jesus Alonso-Zarate.
IEEE Communications Surveys and Tutorials (2014)
Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications
M. Meroni;M. Rossini;L. Guanter;L. Alonso.
Remote Sensing of Environment (2009)
Evaluation of Sentinel-2 red-edge bands for empirical estimation of green LAI and chlorophyll content.
Jesús Delegido;Jochem Verrelst;Luis Alonso;José F. Moreno.
Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3
Jochem Verrelst;Jordi Muñoz;Luis Alonso;Jesús Delegido.
Remote Sensing of Environment (2012)
Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation
D. Tuia;J. Verrelst;L. Alonso;F. Perez-Cruz.
IEEE Geoscience and Remote Sensing Letters (2011)
Highly reliable energy-saving mac for wireless body sensor networks in healthcare systems
B. Otal;L. Alonso;C. Verikoukis.
IEEE Journal on Selected Areas in Communications (2009)
Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques
J. Verrelst;L. Alonso;G. Camps-Valls;J. Delegido.
IEEE Transactions on Geoscience and Remote Sensing (2012)
A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems
J. Delegido;J. Verrelst;C.M. Meza;J.P. Rivera.
European Journal of Agronomy (2013)
Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification
L. Alonso;L. Gomez-Chova;J. Vila-Frances;J. Amoros-Lopez.
IEEE Geoscience and Remote Sensing Letters (2008)
Sun-induced fluorescence - a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant.
Uwe Rascher;L Alonso;Andreas Burkart;C Cilia;C Cilia.
Global Change Biology (2015)
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