Dr. Jose Moreno Profile

Dr. Jose Moreno

at Univ de València

SPIE Involvement:

Author

Proceedings Article | 1 September 2015 Paper

Design of a satellite end-to-end mission performance simulator for imaging spectrometers and its application to the ESA's FLEX/Sentinel-3 tandem mission

Jorge Vicent, Neus Sabater, Carolina Tenjo, Juan Acarreta, María Manzano, Juan Rivera, Pedro Jurado, Raffaella Franco, Luis Alonso, Jose Moreno

Proceedings Volume 9611, 96110D (2015) https://doi.org/10.1117/12.2189889

KEYWORDS: Device simulation, Satellites, Sensors, Spectrometers, Calibration, Signal to noise ratio, Image processing, Data modeling, Atmospheric modeling, Satellite imaging

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Proceedings Article | 1 September 2015 Paper

Propagation of spectral characterization errors of imaging spectrometers at level-1 and its correction within a level-2 recalibration scheme

Jorge Vicent, Luis Alonso, Neus Sabater, Christophe Miesch, Stefan Kraft, Jose Moreno

Proceedings Volume 9611, 96110T (2015) https://doi.org/10.1117/12.2189089

KEYWORDS: Error analysis, Absorption, Oxygen, Atmospheric propagation, Spectrometers, Spectral calibration, Calibration, Spectral resolution, Atmospheric propagation engineering, Sensors

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Proceedings Article | 23 September 2013 Paper

On the demands on imaging spectrometry for the monitoring of global vegetation fluorescence from space

S. Kraft, U. Del Bello, M. Drusch, A. Gabriele, B. Harnisch, J. Moreno

Proceedings Volume 8870, 88700N (2013) https://doi.org/10.1117/12.2024245

KEYWORDS: Luminescence, Vegetation, Reflectivity, Absorption, Signal to noise ratio, Spectral resolution, Spectrometers, Atmospheric particles, Oxygen, Polarization

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Proceedings Article | 17 October 2006 Paper

Study of the diurnal cycle of stressed vegetation for the improvement of fluorescence remote sensing

Julia Amoros-Lopez, Luis Gomez-Chova, Joan Vila-Frances, Javier Calpe, Luis Alonso, Jose Moreno, Secundino del Valle-Tascon

Proceedings Volume 6359, 63590R (2006) https://doi.org/10.1117/12.690036

KEYWORDS: Luminescence, Ferroelectric LCDs, Absorption, Quantum efficiency, Reflectivity, Optical filters, Oxygen, Remote sensing, Vegetation, Fluorometers

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Proceedings Article | 29 September 2006 Paper

Modelling spatial and spectral systematic noise patterns on CHRIS/PROBA hyperspectral data

Luis Gómez-Chova, Luis Alonso, Luis Guanter, Gustavo Camps-Valls, Javier Calpe, José Moreno

Proceedings Volume 6365, 63650Z (2006) https://doi.org/10.1117/12.690033

KEYWORDS: Charge-coupled devices, Sensors, Image processing, Hyperspectral imaging, CCD image sensors, Spatial frequencies, Linear filtering, Spectroscopy, Signal to noise ratio, Databases

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Proceedings Article | 29 September 2006 Paper

Multitemporal image classification and change detection with kernels

Gustavo Camps-Valls, Luis Gomez-Chova, Jordi Muñoz-Mari, Luis Alonso, Javier Calpe-Maravilla, José Moreno

Proceedings Volume 6365, 63650H (2006) https://doi.org/10.1117/12.689585

KEYWORDS: Composites, Synthetic aperture radar, Image classification, Landsat, Remote sensing, Image fusion, Sensors, Feature extraction, Information fusion, Earth observing sensors

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Proceedings Article | 1 November 2005 Paper

Cloud detection for CHRIS/Proba hyperspectral images

Luis Gómez-Chova, Julia Amorós, Gustavo Camps-Valls, José Martin, Javier Calpe, Luis Alonso, Luis Guanter, Juan Fortea, José Moreno

Proceedings Volume 5979, 59791Q (2005) https://doi.org/10.1117/12.627704

KEYWORDS: Clouds, Absorption, Sensors, Feature extraction, Atmospheric optics, Reflectivity, Expectation maximization algorithms, Near infrared, Image segmentation, Vegetation

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Proceedings Article | 24 February 2004 Paper

Atmospheric correction algorithm for multiangular satellite measurements in the solar spectrum

Luis Guanter, Jose Marti, Jose Moreno

Proceedings Volume 5232, (2004) https://doi.org/10.1117/12.514222

KEYWORDS: Reflectivity, Bidirectional reflectance transmission function, Radiative transfer, Atmospheric corrections, MODIS, Sensors, Aerosols, Unmanned aerial vehicles, Remote sensing, Atmospheric modeling

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Proceedings Article | 5 February 2004 Paper

Kernel methods for HyMap imagery knowledge discovery

Gustavo Camps-Valls, Luis Gomez-Chova, Javier Calpe-Maravilla, Emilio Soria-Olivas, Jose Martin-Guerrero, Jose Moreno

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.510719

KEYWORDS: Neural networks, Knowledge discovery, Principal component analysis, Feature selection, Data modeling, Reflectivity, Absorption, Hyperspectral imaging, Pattern recognition, Image classification

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Proceedings Article | 5 February 2004 Paper

Robust automatic classification method for hyperspectral imagery

Luis Gomez-Chova, Javier Calpe-Maravilla, Gustavo Camps-Valls, Jose Martin-Guerrero, Emilio Soria-Olivas, Joan Vila, Luis Alonso-Chorda, Jose Moreno

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.510673

KEYWORDS: Expectation maximization algorithms, Hyperspectral imaging, Image classification, Machine learning, Remote sensing, Spectroscopy, Library classification systems, Data acquisition, Statistical analysis, Detection and tracking algorithms

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Proceedings Article | 2 February 2004 Paper

Understanding vegetation response to climate variability from space: recent advances towards the SPECTRA Mission

Massimo Menenti, Michael Rast, Frederic Baret, Bart van den Hurk, Wolfgang Knorr, Wolfram Mauser, John Miller, Jose Moreno, Michael Schaepman, Michel Verstraete

Proceedings Volume 5234, (2004) https://doi.org/10.1117/12.510967

KEYWORDS: Vegetation, Data modeling, Carbon, Reflectivity, Climatology, Satellites, Image segmentation, Infrared radiation, Bidirectional reflectance transmission function, Algorithm development

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The monitoring of the carbon stock in terrestrial environments, as well as the improved understanding of the surface-atmosphere interactions controlling the exchange of matter, energy and momentum, is of immediate interest for an improved assessment of the various components of the global carbon cycle. Studies of the Earth System processes at the global scale rely on models that require an advanced understanding and proper characterization of processes at smaller scales. The prime objective of the Surface Processes and Ecosystem Changes Through Response Analysis (SPECTRA) Mission is to determine the amount, assess the conditions and understand the response of terrestrial vegetation to climate variability and its role in the coupled cycles of energy, water and carbon. The amount and state of vegetation will be determined by the combination of observed vegetation properties and data assimilation. Many vegetation properties are related to features of reflectance spectra in the region 400 nm - 2500 nm. Detailed observations of spectral reflectance reveal subtle features related to biochemical components of leaves such as chlorophyll and water. The architecture of vegetation canopies determines complex changes of observed reflectance spectra with view and illumination angle. Quantitative analysis of reflectance spectra requires, therefore, an accurate characterization of the anisotropy of reflected radiance. This can be achieved with nearly - simultaneous observations at different view angles. Exchange of energy between the biosphere and the atmosphere is an important mechanism determining the response of vegetation to climate variability. This requires measurements of the component temperature of foliage and soil. The latter are closely related to the angular variation in thermal infrared emittance. Scientific preparations for SPECTRA are pursued along two avenues: a) the nature of the expected data and candidate algorithms are evaluated by generating and using synthetic hyper - spectral multi - angular\radiometric data; algorithms are evaluated with actual hyper -spectral data collected with a variety of airborne systems and concurrent ground measurements;

Proceedings Article | 28 January 2002 Paper

Assessment of inputs to land surface processes models derived from hyperspectral multiangular data

Jose Moreno, Massimo Menenti, Rolf Richter

Proceedings Volume 4542, (2002) https://doi.org/10.1117/12.454198

KEYWORDS: Data modeling, Vegetation, Reflectivity, Process modeling, Carbon, Absorption, Soil science, Atmospheric modeling, Modeling, Remote sensing

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Proceedings Article | 23 January 2001 Paper

Direct gradient analysis as a new tool for interpretation of hyperspectral remote sensing data: application to HYMAP/DAISEX-99 data

Maria Carmen Gonzalez-Sampedro, Robert Zomer, Luis Alonso-Chorda, Jose Moreno, Susan Ustin

Proceedings Volume 4171, (2001) https://doi.org/10.1117/12.413950

KEYWORDS: Statistical analysis, Remote sensing, Sensors, Simulation of CCA and DLA aggregates, Vegetation, Statistical modeling, Analytical research, Spectrometers, Natural surfaces, Atmospheric sensing

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Proceedings Article | 19 January 2001 Paper

Methodology for quantitative analysis of scaling effects in multiresolution datasets acquired with airborne sensors flying at different altitude levels

Luis Alonso-Chorda, Maria Carmen Gonzalez-Sampedro, J. Fortea, Jose Moreno

Proceedings Volume 4170, (2001) https://doi.org/10.1117/12.413883

KEYWORDS: Image resolution, Atmospheric particles, Sensors, Atmospheric corrections, Bidirectional reflectance transmission function, Reflectivity, Spatial resolution, Aerosols, Wavelets, Atmospheric sensing

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Proceedings Article | 31 January 1995 Paper

Spectral/spatial integration effects on information extraction from multispectral data: multiresolution approaches

Jose Moreno

Proceedings Volume 2314, (1995) https://doi.org/10.1117/12.200773

KEYWORDS: Reflectivity, Data modeling, Spatial resolution, Spectral resolution, Atmospheric modeling, Vegetation, Calibration, Information fusion, Sensors, Atmospheric corrections

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Showing 5 of 15 publications

SPIE Conference Volume | 24 February 2004

Remote Sensing for Agriculture, Ecosystems, and Hydrology V

Conference Committee Involvement (4)

Imaging Spectrometry XX

10 August 2015 | San Diego, California, United States

Imaging Spectrometry XIX

18 August 2014 | San Diego, California, United States

Imaging Spectrometry XVIII

26 August 2013 | San Diego, California, United States

Remote Sensing for Agriculture, Ecosystems, and Hydrology V

8 September 2003 | Barcelona, Spain

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