D-Index & Metrics Best Publications
Environmental Sciences
Australia
2023

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 87 Citations 54,639 441 World Ranking 278 National Ranking 11

Research.com Recognitions

Awards & Achievements

2023 - Research.com Environmental Sciences in Australia Leader Award

2022 - Research.com Environmental Sciences in Australia Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Ecosystem
  • Statistics

Alfredo Huete mostly deals with Remote sensing, Enhanced vegetation index, Normalized Difference Vegetation Index, Vegetation and Canopy. Alfredo Huete has researched Remote sensing in several fields, including Land cover, Vegetation Index, Leaf area index and Moderate-resolution imaging spectroradiometer. His biological study spans a wide range of topics, including Advanced very-high-resolution radiometer, Agronomy, Shadow, Hydrology and Spectral response.

His Normalized Difference Vegetation Index research incorporates themes from Arid, Spectroradiometer, FluxNet and Biome. Alfredo Huete combines subjects such as Soil science, Climatology, Radiometer, Remote sensing and Evapotranspiration with his study of Vegetation. Alfredo Huete interconnects Dry season, Soil water, Phenology and Azimuth in the investigation of issues within Canopy.

His most cited work include:

  • Overview of the radiometric and biophysical performance of the MODIS vegetation indices (4835 citations)
  • A soil-adjusted vegetation index (SAVI) (3710 citations)
  • Monitoring vegetation phenology using MODIS (1612 citations)

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

His primary areas of investigation include Remote sensing, Vegetation, Enhanced vegetation index, Normalized Difference Vegetation Index and Atmospheric sciences. His Remote sensing study combines topics from a wide range of disciplines, such as Land cover, Leaf area index and Moderate-resolution imaging spectroradiometer. His research integrates issues of Soil science, Climatology, Climate change, Precipitation and Phenology in his study of Vegetation.

His Enhanced vegetation index research integrates issues from Canopy, Amazon rainforest, Hydrology, Physical geography and Biome. His studies in Normalized Difference Vegetation Index integrate themes in fields like Bidirectional reflectance distribution function, Soil water, Spectroradiometer and Thematic Mapper. His studies deal with areas such as Photosynthesis and Terrestrial ecosystem as well as Atmospheric sciences.

He most often published in these fields:

  • Remote sensing (44.32%)
  • Vegetation (27.61%)
  • Enhanced vegetation index (23.67%)

What were the highlights of his more recent work (between 2017-2021)?

  • Remote sensing (44.32%)
  • Atmospheric sciences (15.55%)
  • Phenology (14.62%)

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

His primary scientific interests are in Remote sensing, Atmospheric sciences, Phenology, Vegetation and Hyperspectral imaging. The concepts of his Remote sensing study are interwoven with issues in Ecosystem, Biome and Leaf area index. His work carried out in the field of Atmospheric sciences brings together such families of science as Photosynthesis, Chlorophyll fluorescence, Enhanced vegetation index, Canopy and Rainforest.

His Enhanced vegetation index research is classified as research in Normalized Difference Vegetation Index. The various areas that Alfredo Huete examines in his Phenology study include Scale and Mangrove. His Vegetation research incorporates elements of Arid, Physical geography, Precipitation and Water resources.

Between 2017 and 2021, his most popular works were:

  • A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform (107 citations)
  • The Melbourne epidemic thunderstorm asthma event 2016: an investigation of environmental triggers, effect on health services, and patient risk factors. (72 citations)
  • Satellite sun‐induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo‐Gangetic Plains (55 citations)

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

  • Ecology
  • Ecosystem
  • Statistics

Alfredo Huete spends much of his time researching Remote sensing, Phenology, Atmospheric sciences, Climate change and Canopy. His research in Remote sensing is mostly focused on Remote sensing. The Phenology study combines topics in areas such as Subtropics, Photosynthesis, Pollen, Evergreen forest and Crown.

His Atmospheric sciences research includes elements of Enhanced vegetation index, Tropics, Urban vegetation, Vegetation and Chlorophyll fluorescence. In his research on the topic of Chlorophyll fluorescence, Normalized Difference Vegetation Index is strongly related with Crop yield. His work deals with themes such as Viscum album, Woodland, Leaf area index and Transpiration, which intersect with Canopy.

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

Overview of the radiometric and biophysical performance of the MODIS vegetation indices

A Huete;K Didan;T Miura;E.P Rodriguez.
Remote Sensing of Environment (2002)

7922 Citations

A soil-adjusted vegetation index (SAVI)

A.R Huete.
Remote Sensing of Environment (1988)

7881 Citations

A Modified Soil Adjusted Vegetation Index

J. Qi;A. Chehbouni;A.R. Huete;Y.H. Kerr.
Remote Sensing of Environment (1994)

2912 Citations

Monitoring vegetation phenology using MODIS

Xiaoyang Zhang;Mark A. Friedl;Crystal B. Schaaf;Alan H. Strahler.
Remote Sensing of Environment (2003)

2531 Citations

A comparison of vegetation indices over a global set of TM images for EOS-MODIS

A.R. Huete;H.Q. Liu;K. Batchily;W. van Leeuwen.
Remote Sensing of Environment (1997)

1967 Citations

The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research

C.O. Justice;E. Vermote;J.R.G. Townshend;R. Defries.
IEEE Transactions on Geoscience and Remote Sensing (1998)

1739 Citations

A review of vegetation indices

A. Bannari;D. Morin;F. Bonn;A. R. Huete.
Remote Sensing Reviews (1995)

1510 Citations

Development of a two-band enhanced vegetation index without a blue band

Zhangyan Jiang;Alfredo R. Huete;Kamel Didan;Tomoaki Miura.
Remote Sensing of Environment (2008)

1460 Citations

Spectral response of a plant canopy with different soil backgrounds

A.R. Huete;R.D. Jackson;D.F. Post.
Remote Sensing of Environment (1985)

1125 Citations

A feedback based modification of the NDVI to minimize canopy background and atmospheric noise

Hui Qing Liu;Alfredo Huete.
IEEE Transactions on Geoscience and Remote Sensing (1995)

1091 Citations

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