Anderson Ruhoff

Anderson Ruhoff holds a PhD in Water Resources from the Federal University of Rio Grande do Sul (UFRGS). He holds a master’s degree in Remote Sensing and a degree in Geography from the Federal University of Santa Maria. He is currently an adjunct professor at the Institute of Hydraulic Research (IPH) at the Federal University of Rio Grande do Sul (UFRGS), teaching Hydrometeorology and Climatology courses for Environmental Engineering and Water Engineering courses. He served as an associate researcher at the University of Exeter (UK) and a collaborator at the Environmental Change Institute (ECI) at Oxford University (UK) and at the Cooperative Remote Sensing Science and Technology Center (NOAA / CREST) ​​at New York University (USA) ). Collaborated with the American Space Agency (NASA) in research projects of the Earth Observation System Program (EOS) for the indication of global evapotranspiration (MOD16) from MODIS sensor images. He has experience in the field of remote sensing responsible for hydrology, working on the following topics: monitoring and monitoring of evapotranspiration, surface energy flows, carbon flows, soil moisture, drought monitoring and land use dynamics and land cover.

Topics of interest (Undergraduate and graduate research)

  • Impact of land use and land cover changes on the terrestrial energy and hydrological cycle
  • Reconstruction of historical scenarios and simulation of future land use and land cover scenarios
  • Mapping the historical evolution of irrigated agriculture areas in Brazil
  • Mapping of floodable areas (floodplains and urban areas) by remote microwave sensing
  • Evapotranspiration estimates in agricultural areas irrigated by remote sensing for water resource management in Brazil
  • Sensitivity analysis and parameterization of regional and global evapotranspiration estimation models
  • Analysis of water balance by remote sensing in South America
  • Estimation of soil moisture and water availability and impacts on agriculture and natural vegetation
  • Combination of soil moisture and evapotranspiration in energy balance models in areas with water deficit
  • Integration between data observed in flow towers and remote sensing data for estimates of turbulent flows between surface and atmosphere

Disciplines taught

Access the material of the disciplines taught in undergraduate and graduate courses at the Hydraulic Research Institute (IPH) of the Federal University of Rio Grande do Sul (UFRGS). (Coming soon).

  • Climatology
  • Hydrometeorology
  • Remote Sensing in Hydrology
  • Geoprocessing in Water Resources

Coordination and participation in research projects

  • Remote Sensing applied to evapotranspiration modeling (Finished)
  • Effects of climate change on the hydrological regime of river basins and on the assured energy of hydroelectric projects (Finished)
  • Validation of evapotranspiration estimation model based on remote sensing data for the State of Rio Grande do Sul (Finalized)
  • Impact of land use and land cover changes on energy and carbon cycles in the coastal zone of Rio Grande do Sul (In progress)
  • Remote sensing applied to hydrometeorological processes (In progress)
  • Analysis of water balance by remote sensing in South America (In progress)

Presentations and seminars

What controls the evapotranspiration process in the MOD16 algorithm? Brazilian Micrometeorology Workshop. 2017.

Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the accuracy of meteorological data and land use and land cover parameterization. EGU. 2017.

Assessing the terrestrial water balance in South America using multi-satellite remote sensing data. EGU. 2017.

Historical land use and land cover changes in Brazil for climatic and hydrological applications. Brazilian Symposium on Remote Sensing. 2017.

 

Selected publications:

Fleischmann et al (2019) Precipitation as a proxy for climate variables: application for hydrological modelling. Hydrological Sciences Journal.

Moreira et al (2019) Assessment of terrestrial water balance using remote sensing data in South America. Journal of Hydrology.

Nascimento et al (2019) Assessing CERES surface radiation components for tropical and subtropical biomes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Souza et al (2019) Evaluation of MOD16 algorithm over irrigated rice paddy using flux tower measurements in Southern Brazil. Water.

Siqueira et al (2018) Toward continental hydrologic-hydrodynamic modeling in South America. Hydrology and Earth System Sciences.

More information:

Research Gate profile: https://www.researchgate.net/profile/Anderson_Ruhoff

LinkedIn profile: https://www.linkedin.com/in/andersonruhoff/

ORCID profile: https://orcid.org/0000-0002-3585-2022

Contact: andersonruhoff at gmail.com or anderson.ruhoff at ufrgs.br