GIS and Remote Sensing

Agricultural and Forestry Applications

For better planning and management it is always advantageous to have crop yield estimation prior to harvest. We used state of the art methods for agricultural crops and forest monitoring based on remote sensing data. We have skill and experience to monitoring various crops and forest biophysical parameters, including but not limited to;

Agricultural and Forestry Applications

Agriculture - Monitoring Crop Status

What Causes Plant Stress?
  • Factors affecting crop spectral signatures
  • When fungi attack
  • Nutrient deficiencies
Can we see stress symptoms from remote sensing?
  • Identifying stressed plants
  • Estimating water content from remote sensing
  • Monitoring irrigation
  • Combating disease and pests

Agriculture - Crop Yield Estimation

Preharvesting estimating: how much the crops will produce?
  • Crop yield forecasting
  • Above ground biomass essessment
  • Inter and intra field variation monitoring
  • Growth rate estimation
  • Crop types classification

Agriculture - Crop Identification

Why do we need to identify crops?
  • Cadastral Mapping
  • Crop types discrimination/classification
  • Distinguishing vegetation types
  • Creating maps of crop fields


  • Forest classification and mapping
  • Change detection: deforestation and reforestation


  • Statistical models
  • Machine learning models
  • Monte Carlo Simulation
  • Supervised and unsupervised classification
  • Change detection algorithms


Matlab, Python, C/C++, IDL, machine learning, data mining