Mauro Holzman

About

I am a researcher at Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Hidrología de Llanuras (IHLLA). My topic is about remote sensing applied to hydrology (soil moisture, crop yield estimation, vegetation water condition).

Employment

• Consejo Nacional de Investigaciones Científicas y Técnicas

Education

• Universidad Nacional del Sur PhD. in Geography
  2010 - 2013
• Universidad Nacional de La Pampa Ing. in Natural resources and Environment
  2002 - 2008

Projects & Funding

• Use of remote sensed data for soil moisture estimation and the impact on surface (soil-vegetation) system CONICET
  2016 - 2018

Publications (30)

• Modelling Shallow Groundwater Level Fluctuations in Very Flat Landscapes Based on Satellite Data and Machine Learning
  Water 2026 DOI: 10.3390/w18151786
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• Evaluation of SMAP Level 4 Versions 7 and 8 Soil Moisture Data in Rain-Fed Argentine Pampas Crops
  Hydrology 2026 DOI: 10.3390/hydrology13060146
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• Sensitivity of the land surface temperatureand Normalized Difference Water Index tosoil moisture on wheat and barley
  AgriScientia 2025 DOI: 10.31047/1668.298x.v42.n1.46537
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• Dos décadas de observaciones satelitales: lecciones sobre los extremos hidrológicos en el Oeste de la región Pampeana
  Revista de Geología Aplicada a la Ingeniería y al Ambiente 2025 DOI: 10.59069/24225703ee024
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• Evaluating the Relationship Between Vegetation Status and Soil Moisture in Semi-Arid Woodlands, Central Australia, Using Daily Thermal, Vegetation Index, and Reflectance Data
  Mauro Ezequiel Holzman, Ankur Srivastava, Raúl Eduardo Rivas +1 more
  Remote Sensing 2025 DOI: 10.3390/rs17040635
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• Profundidad óptica de la vegetación (VOD): revisión de los productos de SMAP y perspectivas para sus aplicaciones agrícolas en el sudeste de la Región Pampeana de Argentina
  Revista de Geología Aplicada a la Ingeniería y al Ambiente 2024 DOI: 10.59069/83nqhd97
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• Soil Moisture: Analysis of SMAP Satellite Products in Plain Zones
  2024 DOI: 10.1109/ARGENCON62399.2024.10735898
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• Sensitivity of the land surface temperature and NDWI index to soil moisture on wheat and barley
  2024 DOI: 10.21203/rs.3.rs-4401715/v1
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• Estimation of actual evapotranspiration in barley crop through a generalized linear model
  MethodsX 2022 DOI: 10.1016/j.mex.2022.101665
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• Different Approaches to Assessing Pollution Load: The Case of Nitrogen-Related Grey Water Footprint of Barley and Soybean in Argentina
  Water 2021 DOI: 10.3390/w13243558
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• Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability
  Remote Sensing 2021 DOI: 10.3390/rs13173371
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• Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
  MethodsX 2021 DOI: 10.1016/j.mex.2020.101172
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• A robust data‐worth analysis framework for soil moisture flow by hybridizing sequential data assimilation and machine learning
  Vadose Zone Journal 2020 DOI: 10.1002/vzj2.20026
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• A dynamic data-driven method for dealing with model structural error in soil moisture data assimilation
  Advances in Water Resources 2019 DOI: 10.1016/j.advwatres.2019.103407
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• Surface moisture area during rainfall-runoff events to understand the hydrological dynamics of a basin in a plain region
  2018
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• Early assessment of crop yield from remotely sensed water stress and solar radiation data
  ISPRS Journal of Photogrammetry and Remote Sensing 2018 DOI: 10.1016/j.isprsjprs.2018.03.014
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• Evaluation of two models using CERES data for reference evapotranspiration estimation,Evaluación de dos modelos para la estimación de la evapotranspiración de referencia con datos CERES
  Revista de Teledeteccion 2018 DOI: 10.4995/raet.2018.9259
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• Surface moisture area during rainfall–run-off events to understand the hydrological dynamics of a basin in a plain region
  Hydrological Processes 2018 DOI: 10.1002/hyp.11492
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• A method for soil moisture probes calibration and validation of satellite estimates
  MethodsX 2017 DOI: 10.1016/j.mex.2017.07.004
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• Early Maize Yield Forecasting from Remotely Sensed Temperature/Vegetation Index Measurements
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2016 DOI: 10.1109/JSTARS.2015.2504262
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