This training course covers mainly the following topics- Automatic Weather Station- Installation, Measurement & maintenance & Site visit., AWS- Testing of Sensors. Surface Water Level Sensor- Installation, Measurement & Maintenance. DWLR sensor – Installation, measurement, maintenance and calibration , Water Quality Sensor – Testing of Sensors Facility of Calibration of ADCP& Current meter. Data Logger & Data Collection Platform- Installation & Maintenance for RTDAS etc Knowledge of various Sensors utilized in AWS, AWLR, DWLR, Water Quality, Data Logger & Telemetry is essential for field Engineers working in State & Central IA’s. A programme in the form of a training course is conceived to impart training to the officers working in concerned departments. The purpose of the course is not only to create awareness about AWS & AWLR, DWLR, and Water Quality also to cover operational / preventive maintenance required on site. Hands-on demonstration will be display at CWPRS reference site.

The training programme provides overview on principles of Remote Sensing, RS Sensors and systems; introduction of image processing and classification techniques. The topics covered include GIS, open source GIS with practical exercises, satellite remote sensing applications in water resources; Open Source Data & Software for Water Resources and water resources information portals. The objective of the course is to introduce principles and applications of remote sensing and Geographic Information Systems (GIS) in water resources management. Course also aims to develop the skill of using RS& GIS software

The goal of this training program is to introduce the participants to the potential of GEE platform and showcase a few specific examples related to water resources sector. Google Earth Engine (GEE) is a cloud-based platform for planetary scale analysis which is useful for translating geospatial datasets into meaningful analytics and decisions. It combines a multi-petabyte catalog of satellite imagery and other geospatial datasets to detect changes, map trends and quantify differences on the Earth''''''''s surface. T-he beauty of the platform lies in the fact that it is free for non-commercial use and there is no additional software license that is required. All you need to get started is a browser with good internet connection. GEE leverages Google''''''''s extensive cloud infrastructure (computational resources collocated with geospatial datasets) to present