D-Index & Metrics Best Publications

D-Index & Metrics

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 67 Citations 22,705 184 World Ranking 727 National Ranking 25

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Remote sensing
  • Agriculture

Pablo J. Zarco-Tejada spends much of his time researching Remote sensing, Canopy, Hyperspectral imaging, Chlorophyll and Photochemical Reflectance Index. His study in Remote sensing is interdisciplinary in nature, drawing from both Image resolution, Leaf area index, Chlorophyll fluorescence and Stomatal conductance. His work carried out in the field of Leaf area index brings together such families of science as Enhanced vegetation index and Precision agriculture.

Pablo J. Zarco-Tejada interconnects Olive trees, Irrigation, Vegetation, Radiative transfer and Orchard in the investigation of issues within Canopy. His Hyperspectral imaging research is multidisciplinary, incorporating perspectives in Light reflectance, Multispectral image, Yield, Remote sensing and Pixel. His Chlorophyll study combines topics in areas such as Photosynthesis and Chlorophyll a.

His most cited work include:

  • Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture (1297 citations)
  • Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture (1091 citations)
  • PROSPECT+SAIL models: A review of use for vegetation characterization (855 citations)

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

Pablo J. Zarco-Tejada mainly investigates Remote sensing, Hyperspectral imaging, Canopy, Chlorophyll fluorescence and Chlorophyll. The various areas that Pablo J. Zarco-Tejada examines in his Remote sensing study include Photochemical Reflectance Index, Radiative transfer and Vegetation. His work in Hyperspectral imaging addresses subjects such as Image resolution, which are connected to disciplines such as Pixel.

His studies deal with areas such as Leaf area index, Stomatal conductance, Atmospheric radiative transfer codes, Normalized Difference Vegetation Index and Orchard as well as Canopy. His studies in Chlorophyll fluorescence integrate themes in fields like Fluorometer, Spectrometer and Radiance. Pablo J. Zarco-Tejada has included themes like Photosynthesis, Yield, Carotenoid and Chlorophyll a in his Chlorophyll study.

He most often published in these fields:

  • Remote sensing (79.83%)
  • Hyperspectral imaging (45.38%)
  • Canopy (44.54%)

What were the highlights of his more recent work (between 2018-2021)?

  • Remote sensing (79.83%)
  • Hyperspectral imaging (45.38%)
  • Canopy (44.54%)

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

Pablo J. Zarco-Tejada focuses on Remote sensing, Hyperspectral imaging, Canopy, Chlorophyll and Radiative transfer. The Remote sensing study combines topics in areas such as Photochemical Reflectance Index, Chlorophyll fluorescence, Vegetation and Spatial heterogeneity. His Hyperspectral imaging study combines topics from a wide range of disciplines, such as Atmospheric radiative transfer codes, Agricultural productivity, Multispectral image and Food systems.

The concepts of his Canopy study are interwoven with issues in Atmosphere, Agronomy, Atmospheric sciences, Normalized Difference Vegetation Index and Transpiration. Evapotranspiration is closely connected to Altitude in his research, which is encompassed under the umbrella topic of Normalized Difference Vegetation Index. His research integrates issues of Photosynthesis and Leaf area index in his study of Chlorophyll.

Between 2018 and 2021, his most popular works were:

  • Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. (89 citations)
  • Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions and Challenges (34 citations)
  • Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline. (28 citations)

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

  • Ecology
  • Agriculture
  • Optics

His primary scientific interests are in Remote sensing, Hyperspectral imaging, Canopy, Radiative transfer and Vegetation. His Remote sensing research includes themes of Emissivity, Chlorophyll fluorescence and Scale. His research in Hyperspectral imaging intersects with topics in Agricultural productivity, Chlorophyll, Multispectral image and Food systems.

His work deals with themes such as Atmospheric radiative transfer codes, Red edge and Crown, which intersect with Chlorophyll. His Canopy research is multidisciplinary, relying on both Evapotranspiration, Leaf area index and Normalized Difference Vegetation Index. His Radiative transfer study integrates concerns from other disciplines, such as Remote sensing, Photochemical Reflectance Index and Imaging spectroscopy.

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

Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture

Driss Haboudane;John R. Miller;John R. Miller;Elizabeth Pattey;Pablo J. Zarco-Tejada.
Remote Sensing of Environment (2004)

1947 Citations

Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture

Driss Haboudane;John R. Miller;John R. Miller;Nicolas Tremblay;Pablo J. Zarco-Tejada.
Remote Sensing of Environment (2002)

1598 Citations

Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

J. Berni;P.J. Zarco-Tejada;L. Suarez;E. Fereres.
IEEE Transactions on Geoscience and Remote Sensing (2009)

1083 Citations

PROSPECT+SAIL models: A review of use for vegetation characterization

Stéphane Jacquemoud;Wout Verhoef;Frédéric Baret;Cédric Bacour.
Remote Sensing of Environment (2009)

1016 Citations

Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera

Pablo J. Zarco-Tejada;Victoria González-Dugo;José A. J. Berni.
Remote Sensing of Environment (2012)

735 Citations

Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data

P.J. Zarco-Tejada;J.R. Miller;T.L. Noland;G.H. Mohammed.
IEEE Transactions on Geoscience and Remote Sensing (2001)

669 Citations

Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy

P.J. Zarco-Tejada;A. Berjón;R. López-Lozano;J.R. Miller.
Remote Sensing of Environment (2005)

602 Citations

Water content estimation in vegetation with MODIS reflectance data and model inversion methods

Pablo J. Zarco-Tejada;C. A. Rueda;S. L. Ustin.
Remote Sensing of Environment (2003)

600 Citations

Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence

Luis Guanter;Yongguang Zhang;Martin Jung;Joanna Joiner.
Proceedings of the National Academy of Sciences of the United States of America (2014)

518 Citations

Retrieval of foliar information about plant pigment systems from high resolution spectroscopy

Susan L. Ustin;Anatoly A. Gitelson;Stéphane Jacquemoud;Michael Schaepman.
Remote Sensing of Environment (2009)

503 Citations

Editorial Boards

Remote Sensing of Environment
(Impact Factor: 13.85)

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