Dr. Hosseini is an Associate Research Professor of the NASA Harvest Hub at the Department of Geographical Sciences, University of Maryland, College Park. His research related to optical and SAR applications to crop monitoring and production forecasting for both large scale agricultural systems and smallholder systems at the field to national scales. This is involved developing and refining models for yield forecasting, cropland and crop type mapping, and crop condition assessments. Dr. Hosseini has expertise in model development for agricultural and environmental applications using radar and optical remote sensing data. His interests include using physical, statistical and machine learning approaches for modeling of agricultural and environmental parameters. During 2017-2019, Dr. Hosseini was a co-lead of an international project involving 18 countries for studying the best practices for crop biomass and leaf area index (LAI) estimations and crop type classification using Synthetic Aperture Radar (SAR). 

Areas of Interest

  • Polarimetric SAR
  • InSAR
  • Machine Learning
CV:

Degrees

  • Degree Type
    Ph.D.
    Degree Details
    Remote Sensing
  • Degree Type
    MS.c.
    Degree Details
    Remote Sensing
  • Degree Type
    Bachelor
    Degree Details
    Geomatics Engineering

Current Students

Former Students

Mehdi Hosseini
Email
mhoseini [at] umd.edu