World's Best Scientists 2026 revealed!

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Environmental Sciences

D-Index
36
Citations
4511
World Ranking
9172
National Ranking
346

Overview

Luigi Renzullo is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research primarily contributes to the fields of Environmental Science and Earth and Planetary Sciences, with significant focus on subfields including Global and Planetary Change, Environmental Engineering, Atmospheric Science, Ecology, and Water Science and Technology.

The scientist's recent publications cover a spectrum of topics related to soil moisture, climate variability, drought monitoring, and precipitation modeling. Notable papers include:

  • "Comprehensive analysis of alternative downscaled soil moisture products," 2020, published in Remote Sensing of Environment
  • "Remotely sensed reservoir water storage dynamics (1984-2015) and the influence of climate variability and management at a global scale," 2022, Hydrology and earth system sciences
  • "The Soil Moisture Active Passive Experiments: Validation of the SMAP Products in Australia," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics," 2020, Journal of Advances in Modeling Earth Systems
  • "On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations," 2020, International Journal of Applied Earth Observation and Geoinformation

Their research topics frequently address Soil Moisture and Remote Sensing, Climate change and permafrost, Flood Risk Assessment and Management, Remote Sensing in Agriculture, Precipitation Measurement and Analysis, Plant Water Relations and Carbon Dynamics, and Hydrology and Watershed Management Studies.

Frequent co-authors include Albert I. J. M. van Dijk, Siyuan Tian, Chad Burton, Sami W. Rifai, and Yi Yu. These collaborations have contributed to a diverse body of work published mainly in venues such as Remote Sensing of Environment, Zenodo (CERN European Organization for Nuclear Research), SSRN Electronic Journal, Hydrology and earth system sciences, and Earth system science data.

This scientific profile reflects a focused research career with contributions to understanding environmental processes through remote sensing, hydrological analysis, and climate impact studies.

Best Publications

  • Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors.

    Juan Pablo Guerschman;Michael J. Hill;Luigi J. Renzullo;Damian J. Barrett

  • Water resource monitoring systems and the role of satellite observations

    A. I. J. M. van Dijk;L. J. Renzullo

  • A spatial assessment framework for evaluating flood risk under extreme climates.

    Yun Chen;Rui Liu;Rui Liu;Damian Barrett;Lei Gao

  • Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data

    Juan P. Guerschman;Peter F. Scarth;Tim R. McVicar;Tim R. McVicar;Luigi J. Renzullo

  • Spatially enhanced passive microwave derived soil moisture: Capabilities and opportunities

    Sabah Sabaghy;Jeffrey P. Walker;Luigi J. Renzullo;Thomas J. Jackson

  • A global water cycle reanalysis (2003-2012) merging satellite gravimetry and altimetry observations with a hydrological multi-model ensemble

    A. I. J. M. van Dijk;L. J. Renzullo;Y. Wada;P. Tregoning

  • Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals

    Siyuan Tian;Paul Tregoning;Luigi John Renzullo;Albert Ide Jan Martijn van Dijk

  • Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment

    L.J. Renzullo;A.I.J.M. van Dijk;J.-M. Perraud;D. Collins

  • The efficacy of calibrating hydrologic model using remotely sensed evapotranspiration and soil moisture for streamflow prediction

    A. Kunnath-Poovakka;D. Ryu;L.J. Renzullo;B. George

  • OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models

    Cathy M. Trudinger;Michael R. Raupach;Peter J. Rayner;Jens Kattge

  • Evaluating geostatistical methods of blending satellite and gauge data to estimate near real-time daily rainfall for Australia

    Adrian Chappell;Luigi J. Renzullo;Tim H. Raupach;Malcolm Haylock

  • Evaluation of Precipitation Estimation Accuracy in Reanalyses, Satellite Products, and an Ensemble Method for Regions in Australia and South and East Asia

    Jorge L. Peña-Arancibia;Albert I. J. M. van Dijk;Luigi J. Renzullo;Mark Mulligan

  • Comprehensive analysis of alternative downscaled soil moisture products

    Sabah Sabaghy;Jeffrey P. Walker;Luigi J. Renzullo;Ruzbeh Akbar

  • Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals

    Tian Hu;Tian Hu;Tian Hu;Luigi J. Renzullo;Albert I.J.M. van Dijk;Jie He

  • Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations

    Patricia López López;Niko Wanders;Jaap Schellekens;Luigi J. Renzullo

  • Comparison of remotely sensed and modelled soil moisture data sets across Australia

    C.M Holgate;C.M Holgate;R.A.M. De Jeu;A.I.J.M van Dijk;Y.Y Liu

  • Correcting for systematic error in satellite-derived latent heat flux due to assumptions in temporal scaling: Assessment from flux tower observations

    Thomas G. Van Niel;Thomas G. Van Niel;Tim R. McVicar;Michael L. Roderick;Albert I.J.M. van Dijk

  • Use of Gravity Recovery and Climate Experiment terrestrial water storage retrievals to evaluate model estimates by the Australian water resources assessment system

    A. I. J. M. van Dijk;L. J. Renzullo;M. Rodell

  • Multi-sensor model-data fusion for estimation of hydrologic and energy flux parameters

    Luigi J. Renzullo;Damian J. Barrett;Alan S. Marks;Michael J. Hill

  • The Australian Water Resource Assessment Modelling System (AWRA)

    Jai Vaze;Neil Viney;Matt Stenson;Luigi Renzullo

  • Earth observation for water resources management : current use and future opportunities for the water sector

    Inge Pakulski;Marcus Marinus Petrus Wijnen;Tom G. Van Niel;Aleix Serrat Capdevila

  • Forecasting dryland vegetation condition months in advance through satellite data assimilation.

    Siyuan Tian;Albert I. J. M. Van Dijk;Paul Tregoning;Luigi J. Renzullo

Frequent Co-Authors

Albert van Dijk
Albert van Dijk Australian National University
Damian Barrett
Damian Barrett Commonwealth Scientific and Industrial Research Organisation
Tim R. McVicar
Tim R. McVicar Commonwealth Scientific and Industrial Research Organisation
Jeffrey P. Walker
Jeffrey P. Walker Monash University
Paul Tregoning
Paul Tregoning Australian National University
Zhihong Xu
Zhihong Xu Griffith University
Olivier Merlin
Olivier Merlin Paul Sabatier University
Jun Zhou
Jun Zhou Griffith University
Thomas J. Jackson
Thomas J. Jackson Agricultural Research Service

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