Remote Sensing and Applications

Satellite Communication and Remote Sensing Applications Introduction to Satellite Communication includes types of satellites such as geostationary and polar-orbiting, orbit selection and coverage, data transmission and reception, and the role of ground stations for remote sensing.

Agriculture, crop monitoring, urban planning, Defence applications, health and medical uses, disaster management and climate studies for atmospheric research and forecasting. Various Methods of Data acquisition for remote sensing.

Camera resolution, type of resolution, image bandwidth, Image data volume, size of the optic, aperture for light revelation, field of view (FOV), radiometric resolution, pixel pitch, focal length, types of lenses, and optical payloads for satellite imagery, brief study of camera sensors used in the satellite payload available in literature.

Image Processing and Interpretation in Remote Sensing Basics of Digital Image Processing, Preprocessing Techniques (Radiometric and Geometric Corrections), Image Enhancement and Classification (Supervised & Unsupervised), Introduction to GIS (Geographic Information System)

Emerging Trends and Practical Applications of Remote Sensing Hands-on Project: Analysing Satellite Images Using Open-Source Tools (QGIS, Google Earth Engine) Case Studies: Identifying Land Use, Vegetation Mapping, and Climate Monitoring using NOAA/ Landsat etc.