Syllabus
Practical
- Acquisition of maps
- Field data collection
- Map and imagery scales
- S/W and H/W requirements and specifications for remote sensing
- Data products, their specifications, media types, data inputs, transformation, display types, image enhancement
- Image classification methods
- Evaluation of classification errors
- Crop discrimination and acreage estimations
- Differentiation of different degraded soils
- Time domain reflectometry
- Use of spectrometer and computation of vegetation indices
- Demonstration of case studies
- Hands on training
Unit I
Theory
Basic components of remote sensing- signals, sensors and sensing systems; active and passive remote sensing.
Unit II
Characteristics of electromagnetic radiation and its interaction with matter; spectral features of earth’s surface features; remote sensors in visible, infrared and microwave regions.
Unit III
Imaging and non-imaging systems; framing and scanning systems; resolution of sensors; sensor platforms, their launching and maintenance. Drone technology.
Unit IV
Data acquisition system, data preprocessing, storage and dissemination; digital image processing and information extraction.
Unit V
Microwave remote sensing; visual and digital image interpretation; introduction to GIS and GPS.
Unit VI
Digital techniques for crop discrimination and identification; crop stress detection soil moisture assessment, inventory of ground water and satellite measurement of surface soil moisture and temperature; drought monitoring, monitoring of crop disease and pest infestation. Use of satellite data in weather forecasting.
Unit VII
Soil resource inventory; land use/land cover mapping and planning; integrated watershed development; crop yield modeling and crop production forecasting.
Aim of the course
To impart the theoretical and practical knowledge of remote sensing principles and their use to estimate of agro-meteorological variables.
