D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 53 Citations 9,664 141 World Ranking 1744 National Ranking 41

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Remote sensing

His main research concerns Remote sensing, Hyperspectral imaging, Vegetation, Normalized Difference Vegetation Index and Radiance. Jose Moreno merges Remote sensing with Spectral resolution in his research. His Hyperspectral imaging study combines topics in areas such as Multispectral image and Support vector machine.

As part of one scientific family, Jose Moreno deals mainly with the area of Vegetation, narrowing it down to issues related to the Endmember, and often Mean squared error. His Normalized Difference Vegetation Index research is multidisciplinary, relying on both VNIR, Crop, Inversion, Infrared and Emissivity. His work deals with themes such as Spectroradiometer, Radiative transfer, Discriminator and Satellite imagery, which intersect with Radiance.

His most cited work include:

  • Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications (463 citations)
  • Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges (462 citations)
  • Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors (350 citations)

What are the main themes of his work throughout his whole career to date?

Jose Moreno spends much of his time researching Remote sensing, Hyperspectral imaging, Vegetation, Chlorophyll fluorescence and Artificial intelligence. Jose Moreno is involved in the study of Remote sensing that focuses on Radiance in particular. His work in the fields of HyMap overlaps with other areas such as Gaussian process.

His Chlorophyll fluorescence research includes elements of Spectroradiometer and Diurnal cycle. Jose Moreno has included themes like Machine learning, Computer vision and Pattern recognition in his Artificial intelligence study. Within one scientific family, Jose Moreno focuses on topics pertaining to Mean squared error under Leaf area index, and may sometimes address concerns connected to Temporal resolution.

He most often published in these fields:

  • Remote sensing (65.00%)
  • Hyperspectral imaging (25.00%)
  • Vegetation (14.55%)

What were the highlights of his more recent work (between 2015-2021)?

  • Remote sensing (65.00%)
  • Radiance (12.27%)
  • Vegetation (14.55%)

In recent papers he was focusing on the following fields of study:

Remote sensing, Radiance, Vegetation, Atmospheric correction and Chlorophyll fluorescence are his primary areas of study. His work in the fields of Remote sensing, such as Hyperspectral imaging, overlaps with other areas such as Spectral resolution. Jose Moreno has researched Vegetation in several fields, including Shortwave infrared, Spectral bands and Temporal resolution.

His research on Atmospheric correction also deals with topics like

  • Aerosol which is related to area like Water vapor, Absorption and Residual,
  • MODTRAN which connect with Remote sensing application and Artificial neural network. While the research belongs to areas of Chlorophyll fluorescence, Jose Moreno spends his time largely on the problem of Absorbance, intersecting his research to questions surrounding Photochemistry. His Leaf area index research incorporates elements of Mean squared error, Agroecosystem, Empirical modelling and Evapotranspiration.

Between 2015 and 2021, his most popular works were:

  • The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8 (144 citations)
  • Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods (91 citations)
  • Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. (89 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Ecology

Jose Moreno mainly focuses on Remote sensing, Chlorophyll fluorescence, Vegetation, Fluorescence and Canopy. His study in the fields of Multi spectral under the domain of Remote sensing overlaps with other disciplines such as Gaussian process. Diffuse sky radiation, Radiance, Solar irradiance and Energy balance is closely connected to Radiative transfer in his research, which is encompassed under the umbrella topic of Chlorophyll fluorescence.

Jose Moreno works mostly in the field of Vegetation, limiting it down to concerns involving Hyperspectral imaging and, occasionally, Soil science, Spatial ecology, Absorption of water and Water content. His Fluorescence research integrates issues from Image resolution, Digital image processing, Calibration and FLEX. Jose Moreno studied Canopy and Photosynthesis that intersect with Transmittance and Reflectivity.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors

J.A. Sobrino;J.C. Jimenez-Muoz;G. Soria;M. Romaguera.
IEEE Transactions on Geoscience and Remote Sensing (2008)

653 Citations

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)

587 Citations

Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges

Albert Porcar-Castell;Esa Tyystjärvi;Jon Atherton;Christiaan van der Tol.
Journal of Experimental Botany (2014)

475 Citations

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review

Jochem Verrelst;Gustau Camps-Valls;Jordi Muñoz-Marí;Juan Pablo Rivera.
Isprs Journal of Photogrammetry and Remote Sensing (2015)

470 Citations

Robust support vector method for hyperspectral data classification and knowledge discovery

G. Camps-Valls;L. Gomez-Chova;J. Calpe-Maravilla;J.D. Martin-Guerrero.
IEEE Transactions on Geoscience and Remote Sensing (2004)

344 Citations

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.
Sensors (2011)

340 Citations

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)

338 Citations

ESA's sentinel missions in support of Earth system science

Michael Berger;Jose Moreno;Johnny A. Johannessen;Johnny A. Johannessen;Pieternel F. Levelt;Pieternel F. Levelt.
Remote Sensing of Environment (2012)

270 Citations

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison

Jochem Verrelst;Juan Pablo Rivera;Frank Veroustraete;Jordi Muñoz-Marí.
Isprs Journal of Photogrammetry and Remote Sensing (2015)

245 Citations

Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)

Alexander Damm;Jan Elbers;André Erler;Beniamino Gioli.
Global Change Biology (2010)

243 Citations

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