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Alfredo Huete
Researcher at University of Technology, Sydney
Publications - 400
Citations - 46758
Alfredo Huete is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Enhanced vegetation index & Normalized Difference Vegetation Index. The author has an hindex of 77, co-authored 372 publications receiving 39128 citations. Previous affiliations of Alfredo Huete include K.N.Toosi University of Technology & Aichi Prefectural University.
Papers
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Overview of the radiometric and biophysical performance of the MODIS vegetation indices
TL;DR: In this paper, the authors evaluated the performance and validity of the MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index(EVI), produced at 1-km and 500-m resolutions and 16-day compositing periods.
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A soil-adjusted vegetation index (SAVI)
TL;DR: In this article, a transformation technique was presented to minimize soil brightness influences from spectral vegetation indices involving red and near-infrared (NIR) wavelengths, which nearly eliminated soil-induced variations in vegetation indices.
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A Modified Soil Adjusted Vegetation Index
TL;DR: In this article, a modified SAVI (MSAVI) was proposed to increase the dynamic range of the vegetation signal while further minimizing the soil background influences, resulting in greater vegetation sensitivity as defined by a vegetation signal to soil noise ratio.
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Monitoring vegetation phenology using MODIS
Xiaoyang Zhang,Mark A. Friedl,Crystal B. Schaaf,Alan H. Strahler,John C.F. Hodges,Feng Gao,Bradley C. Reed,Alfredo Huete +7 more
TL;DR: In this article, a new methodology to monitor global vegetation phenology from time series of satellite data is presented, which uses series of piecewise logistic functions, which are fit to remotely sensed vegetation index (VI) data, to represent intra-annual vegetation dynamics.
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A comparison of vegetation indices over a global set of TM images for EOS-MODIS
TL;DR: In this paper, a set of Landsat Thematic Mapper images representing a wide range of vegetation conditions from the NASA Landsat Pathfinder, global land cover test site (GLCTS) initiative were processed to simulate the Moderate Resolution Imaging Spectroradiometer (MODIS), global vegetation index imagery at 250 m pixel size resolution.