J. Moreno

ORCID: 0000-0002-5283-3333
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About
Contact & Profiles
Research Areas
  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics
  • Plant Water Relations and Carbon Dynamics
  • Calibration and Measurement Techniques
  • Remote-Sensing Image Classification
  • Urban Heat Island Mitigation
  • Remote Sensing and LiDAR Applications
  • Atmospheric Ozone and Climate
  • Remote Sensing and Land Use
  • Leaf Properties and Growth Measurement
  • Water Quality Monitoring and Analysis
  • Marine and coastal ecosystems
  • Land Use and Ecosystem Services
  • Plant responses to elevated CO2
  • Atmospheric aerosols and clouds
  • Soil Geostatistics and Mapping
  • Spectroscopy and Chemometric Analyses
  • Satellite Image Processing and Photogrammetry
  • Business, Education, Mathematics Research
  • Atmospheric chemistry and aerosols
  • Geochemistry and Geologic Mapping
  • Advanced Image Fusion Techniques
  • Species Distribution and Climate Change
  • Meteorological Phenomena and Simulations
  • Photosynthetic Processes and Mechanisms

Parc Científic de la Universitat de València
2016-2025

Johns Hopkins University
2024

Universitat de València
2014-2023

Imperial College London
2023

University of the Incarnate Word
2009-2022

University of Wisconsin–La Crosse
2022

Université Toulouse III - Paul Sabatier
2019-2022

Université Toulouse - Jean Jaurès
2022

Institut de Recherche en Informatique de Toulouse
2022

Université Toulouse-I-Capitole
2022

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper discusses the application and adaptation of two existing operational algorithms for land surface emissivity (<formula formulatype="inline"><tex>$\varepsilon$</tex></formula>) retrieval from different satellite/airborne sensors with bands in visible near-infrared (VNIR) thermal IR (TIR) regions: 1) temperature separation algorithm, which retrieves <formula...

10.1109/tgrs.2007.904834 article EN IEEE Transactions on Geoscience and Remote Sensing 2008-01-16

In November 2015, the FLuorescence EXplorer (FLEX) was selected as eighth Earth Explorer mission of European Space Agency. The tandem concept will provide measurements at a spectral and spatial resolution enabling retrieval interpretation full chlorophyll fluorescence spectrum emitted by terrestrial vegetation. This paper provides overview scientific goals, key objectives related to fluorescence, requirements guaranteeing fitness for purpose resulting data set. We present design time...

10.1109/tgrs.2016.2621820 article EN IEEE Transactions on Geoscience and Remote Sensing 2016-12-22

Abstract Terrestrial gross primary production (GPP) is an important parameter to explore and quantify carbon fixation by plant ecosystems at various scales. Remote sensing (RS) offers a unique possibility investigate GPP in spatially explicit fashion; however, budgeting of terrestrial cycles based on this approach still remains uncertain. To improve calculations, spatio‐temporal variability must be investigated more detail local regional The overarching goal study enhance our knowledge how...

10.1111/j.1365-2486.2009.01908.x article EN Global Change Biology 2009-03-03

Abstract Variations in photosynthesis still cause substantial uncertainties predicting photosynthetic CO 2 uptake rates and monitoring plant stress. Changes actual that are not related to greenness of vegetation difficult measure by reflectance based optical remote sensing techniques. Several activities underway evaluate the sun‐induced fluorescence signal on ground a coarse spatial scale using space‐borne imaging spectrometers. Intermediate‐scale observations airborne‐based spectroscopy,...

10.1111/gcb.13017 article EN Global Change Biology 2015-07-03

This paper evaluates state-of-the-art parametric and nonparametric approaches for the estimation of leaf chlorophyll content <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$(Chl)$</tex></formula> , area index, fractional vegetation cover from space. The approach involves comparison established generic narrowband indices (VIs) Normalized Area Over reflectance Curve method, which calculates continuum...

10.1109/tgrs.2011.2168962 article EN IEEE Transactions on Geoscience and Remote Sensing 2011-11-07

Abstract Remote estimation of Sun‐induced chlorophyll fluorescence emitted by terrestrial vegetation can provide an unparalleled opportunity to track spatiotemporal variations photosynthetic efficiency. Here we the first direct experimental evidence that two peaks spectrum be accurately mapped from high‐resolution radiance spectra and signal is linked in actual Red far red measured using a novel airborne imaging spectrometer over grass carpet treated with herbicide known inhibit...

10.1002/2014gl062943 article EN Geophysical Research Letters 2015-02-20

EnMAP (Environmental Mapping and Analysis Program) is a high-resolution imaging spectroscopy remote sensing mission that was successfully launched on April 1st, 2022. Equipped with prism-based dual-spectrometer, performs observations in the spectral range between 418.2nm 2445.5nm 224 bands high radiometric accuracy stability. products, ground instantaneous field-of-view of 30m×30m at swath width 30km, allow for qualitative quantitative analysis surface variables from frequently consistently...

10.1016/j.rse.2023.113632 article EN cc-by Remote Sensing of Environment 2023-05-29

In this paper we compare two different methodologies for Fractional Vegetation Cover (FVC) retrieval from Compact High Resolution Imaging Spectrometer (CHRIS) data onboard the European Space Agency (ESA) Project On-Board Autonomy (PROBA) platform. The first methodology is based on empirical approaches using Indices (VIs), in particular Normalized Difference Index (NDVI) and Variable Atmospherically Resistant (VARI). second Spectral Mixture Analysis (SMA) technique, which a Linear Unmixing...

10.3390/s90200768 article EN cc-by Sensors 2009-02-02

A characteristic spectral emission is observed in vegetation chlorophyll under excitation by solar radiation. This emission, known as solar‐induced fluorescence, occurs the red and near infra‐red regions. In this paper a new methodology for estimation of fluorescence from spaceborne airborne sensors presented. The signal included an atmospheric radiative transfer scheme so that surface reflectance are retrieved consistently measured at‐sensor radiance. tested on images acquired Medium...

10.1029/2007gl029289 article EN Geophysical Research Letters 2007-04-01
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