A “Five-Day” Faculty Development Program on Advances in Satellite Tracking and Geospatial Techniques for Water Resources Management
Organization: National Institute of Technology Karnataka, Surathkal.
Event Date: 7th – 11th April 2025
Event: Faculty Development Program (FDP)
Mode: Offline [in person] Mode
About the FDP:
The FDP aims to provide participants with a comprehensive understanding of remote sensing, geoinformatics, and advanced computational techniques for water resource applications. Covering both theoretical and practical aspects, the program includes sessions on remote sensing fundamentals, UAV applications, AI-based image processing and ISRO’s advancements, satellite tracking. Hands-on training is provided through practical sessions on Google Earth Engine (GEE), Python scripting for satellite data processing, PCSWMM for hydrological modelling, and deep learning applications. Participants will also explore SAR applications, web-GIS, spectroradiometer and open- source datasets for water and agricultural studies, equipping them with essential skills for geospatial analysis and decision-making in water resource management.
About WROE Department: The Department of Water Resources & Ocean Engineering (Formerly Applied Mechanics and Hydraulics) was established in 1960 and has earned a good reputation as a centre for academic, research and industrial consulting activities. Academic programmes leading to M. Tech Degree in Marine Structures, Water Resources Engineering and Management, and Geoinformatics and Ph.D. Degrees in the broad areas of
Hydraulics and Water Resources Engineering, Coastal Engineering Remote Sensing and GIS Applications are offered. Candidates sponsored under the Quality Improvement Program (QIP) are admitted to these programs in addition to regular students.
Key objectives:
The Primary Objectives of the course are as follows
- To enhance understanding of remote sensing fundamentals and its applications in water resources management.
- To provide hands-on experience with advanced geospatial tools, including Google Earth Engine, Python scripting, and PCSWMM.
- To explore the integration of AI, deep learning, and SAR techniques for efficient satellite data processing and analysis.
Who can attend (in the order of preference)
- Faculty members from academic institutions.
- Engineers and researchers from Industry organizations including R&D laboratories.
- Research scholars, Ph.D, SRF, JRF and M.Tech/UG students or equivalent.
Registration Fees :
- IEEE GRSS Student Members/NITK Students: Rs. 1180/-
- Non-IEEE GRSS Student Members: Rs. 1770/-
- IEEE GRSS Professional Members: Rs. 2360/-
- Non-IEEE GRSS Professional Members/ Industry/ Others: Rs.3540/-
Registration Link: Clickhere
Important Dates:
- Last date for registration: 28-Mar-2025
- Notification of selected participants: 30-Mar-2025
Accommodation:
- Accommodation will be provided on a payment basis based on availability of rooms,
- Limited accommodation on single/sharing basis and AC/Non-AC rooms are available in NITK campus.
Organization Website: https://www.nitk.ac.in/
Address for Communication:
National Institute of Technology Karnataka, Surathkal
NH 66, Srinivasnagar
Surathkal, Mangalore
Karnataka 575025
