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;
Agriculture - Monitoring Crop Status
What Causes Plant Stress?- Factors affecting crop spectral signatures
- When fungi attack
- Nutrient deficiencies
- 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
- Forest classification and mapping
- Change detection: deforestation and reforestation
Methods
- Statistical models
- Machine learning models
- Monte Carlo Simulation
- Supervised and unsupervised classification
- Change detection algorithms
Tools
Matlab, Python, C/C++, IDL, machine learning, data mining