Course

Theory

Unit I

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.

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

To impart the theoretical and practical knowledge of remote sensing principles and their use to estimate of agro-meteorological variables.