WISS2017-program
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c) Hydrological applications of remote sensing | c) Hydrological applications of remote sensing | ||
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==SCHEDULE== | ==SCHEDULE== | ||
| - | ==Day 1 - Sunday May 21st, 2017== | + | ==Day 1 - Saturday May 20th, 2017== |
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| + | Arrival of speakers and participants. | ||
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| + | '''6pm.''' Welcome Tea. | ||
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| + | ==Day 2 - Sunday May 21st, 2017== | ||
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| - | ==Day | + | ==Day 3 - Monday May 22nd, 2017== |
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Revision as of 11:13, 5 May 2017
| Summer School on Water Informatics: Science and Systems | |
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| May 20-23, 2017. School of Science and Engineering, LUMS, Pakistan | |
CONTENT
The Summer School on ‘Water Informatics: Science and Systems’ is focused on building capacity through two key modules on a) Systems Analysis and b) Remote Sensing. The two modules will be knit together by demonstrations, field visits and case studies on how the two aspects of sensor data collection (science) and data analysis (systems) can be combined in unified water informatics frameworks.
The module on Systems Analysis aims to introduce students to systems theory, systems analysis, and applications for quantitatively and qualitatively analyzing critical linkages between water, energy, and food systems in the Indus Basin that are vital for effective policy making and sustainable management of natural resources. The module on Remote Sensing aims to give participants an introduction to the science and principles of remote sensing of the Earth, remote sensing data acquisition (specifically satellite data sets in public domain), as well as hydrological applications of remote sensing. The two modules will be knit together by demonstrations, field visits and case studies on how the two aspects of sensor data collection (science) and data analysis (systems) can be combined in unified Water Informatics frameworks.
Module 1: Systems Analysis
Systems Analysis as a method of inquiry, provides a holistic or system view of the problem at hand by decomposing it into smaller components and solving each one independently whilst simultaneously accounting for the interconnections among the components. This philosophy makes Systems Analysis a perfect candidate to tackle the global transformation challenges such as climate change, pollution, the energy crisis and nexus problems such as the water-energy-food nexus. Systems Analysis has now begun to be viewed as an art which requires experience in linking extremely disparate disciplines and an ability to form integrated solutions to complex issues. This module seeks to provide the audience with an exposure to Systems Analysis techniques through the following Module Learning Objectives 1. Methods for understanding complex systems 2. Multi-criteria Decision Making 3. Technical advances in Systems Analysis 4. Harnessing Systems Analysis tools for solving global issues 5. Water-Energy-Food Nexus
Module 2: Remote Sensing
Remote sensing is the science and technology enabling acquisition and interpretation of information from a distance, using sensors that are not in physical contact with the subject. Remote sensing of the Earth’s environment is a vast subject with many compelling applications in diverse areas such as natural resource management (e.g. agriculture, forestry, mining), hazard assessment, urban monitoring, and climate change. This module will provide a broad introduction of remote sensing of the Earth’s environment, with particular emphasis on hydrological applications. This module will present: a) An introduction to the science and principles of remote sensing of the Earth b) Remote sensing data acquisition (specifically satellite data sets in public domain) c) Hydrological applications of remote sensing
SCHEDULE
Day 1 - Saturday May 20th, 2017
Arrival of speakers and participants.
6pm. Welcome Tea.
Day 2 - Sunday May 21st, 2017
| TIME | SPEAKER | TITLE | HANDOUTS OR SLIDES | VIDEOS |
|---|---|---|---|---|
| 8:00-9:00 | Registration | |||
| 9:00-9:30 | Welcome | |||
| 9:30-10:40 | Elena Rovenskaya | Optimal Resource Allocation (1): Introduction | ||
| 10:40-11:00 | Tea Break | |||
| 11:00-11:40 | Abubakr Muhammad | Water Informatics: Technologies and Tools | ||
| 11:40-12:50 | Elena Rovenskaya | Optimal Resource Allocation (2): Linear Programming Problems | ||
| 12:50-14:00 | Lunch Break | |||
| 14:00-15:10 | Afreen Siddiqi | System Dynamics (1): Introduction | ||
| 15:10-15:25 | Tea Break | |||
| 15:25-16:20 | Documentary Screening
River Garden: The Legacy of Shalamar Garden | |||
| 16:20-17:30 | Panel Discussion
New Opportunities for Water Informatics and Precision Agriculture in Industry and Governance |
Day 3 - Monday May 22nd, 2017
| TIME | SPEAKER | TITLE | HANDOUTS OR SLIDES | VIDEOS |
|---|---|---|---|---|
| 9:00-10:10 | Afreen Siddiqi | System Dynamics (2) – System Structure and Behavior | ||
| 10:10-10:30 | Tea Break | |||
| 10:30-11:40 | Elena Rovenskaya | Optimal Resource Allocation (3): An overview of a few extensions | ||
| 11:40-12:40 | Susan L. Ustin | Introduction to Remote Sensing of Environment: Fundamental Principles and Practices | ||
| 12:40-14:00 | Lunch Break + Poster Session | |||
| 14:00-15:00 | Afreen Siddiqi | System Dynamics (3) – Building Simulations | ||
| 15:00-15:20 | Tea Break | |||
| 15:20-16:30 | Stefano Vignudelli | Satellite Radar Altimetry: Principles and Application to Hydrological Studies | ||
| 16:30-17:30 | Susan L. Ustin | Principles of remote sensing of water in the solar spectral region |
Day 4 - Tuesday May 23rd, 2017
| TIME | SPEAKER | TITLE | HANDOUTS OR SLIDES | VIDEOS |
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| 9:00-9:40 | Asif Khan | TBC | ||
| 9:40-10:40 | Susan L. Ustin | Overview of Airborne and Satellite Remote Sensing Instruments | ||
| 10:40-11:00 | Tea Break | |||
| 11:00-11:40 | Waqas Qazi | Hydrological Remote Sensing with Synthetic Aperture Radar (SAR) Imaging | ||
| 11:40-12:50 | Stefano Vignudelli | Satellite Radar Altimetry: Lab Exercise | ||
| 12:50-14:00 | Lunch Break | |||
| 14:00-14:30 | Zubair Khalid | Using Advance Signal Processing Methods for the Estimation of Ground Water Storage Variations in Indus River Basin Using GRACE Data | ||
| 14:30-15:30 | Susan L. Ustin | Remote sensing using active RaDAR and LiDAR for hydrologic properties and processes, including passive microwave | ||
| 15:30-15:45 | Closing | |||
| 15:45-16:25 | Danial Hashmi | Mangla Basin Case Study: Use of Remote Sensing and GIS in Hydrological Modelling | ||
| 16:25-17:00 | Closing |
| Sponsors / Organizers | News / Announcements |
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