Various workshops are planned/designed during RSGCC-2023 for interested students/scholars (BS, MSc, BE, MPhil/MS, and PhD programs) and/or early & mid-career professionals dealing with the following subjects, disciplines, and fields (but not limited to);
Air Pollution
Archaeology
City & Regional Planning
Civil Engineering
Computer Sciences
Cryospheric Studies
Disaster Studies
Ecology
Environmental Sciences,
Food Security
Forestry
Geography
Geology
Geo-Physics
GIS
Hydrology
Land Surveying
Meteorology
Mountains Studies
Ocean Studies
Real Estate
Remote Sensing
Soil & Agriculture Studies
Space Science
Tourism
Urban Planning
Water Informatics
Workshop Schedule:
Workshop Schedule:
Workshop-1
Time Series Analysis of Remote Sensing Data
Cubes using Google Earth Engine
Objectives/Contents
This workshop will cover techniques for
visualizing and processing remote-sensing data cubes for analysis. We will present
theoretical and practical approaches in time series remote sensing data to
determine 50 years of phenology and anomalies at local to global scales. This
workshop includes:
-Spatiotemporal
Visualization
-Time Series Gap
Filling
-Time Series
Smoothing Filters.
Resource Person
Dr Hammad Gilani
DrHammadGilani is working as a Researcher (Remote Sensing and
GIS) at the International Water Management Institute (IWMI), Lahore. The
resource person has over 15 years of work experience in cross-cutting issues
in natural and human-induced ecosystem management, assisting policy-makers
with tools and techniques using active and passive remote sensing and GIS
techniques. He has proven expertise in Remote sensing; Earth observation;
cloud computing; big geospatial analysis; technical and managerial experience
in water, sanitation and hygiene (WASH); water accounting and hydrological
modelling; climate change impacts on water availability; climate change
vulnerability and risk assessment in water resources and energy sector; water
security and distribution; disaster preparedness, response and recovery;
forecast-based actions (anticipatory actions); impact-based actions; data
collecting, analysis and management.
Date/Time
13 March 2023, Monday (14:00 - 16:00 Hours)
Venue
Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam
Campus, University of the Punjab, Lahore.
AI tools have become increasingly popular for hydrological
modeling due to their ability to quickly and accurately process large amount
of data for complex tasks. This workshop aims to provide participants with a
comprehensive overview of how AI tools can be applied to hydrologic models.
This workshop will focus on a case study illustrating how to use AI tools in
hydrologic modeling. Participants will learn how to prepare data for AI
models, develop the models, and analyze the results. The workshop will
include hands-on practice material (different exercises and real-world
hydrological data models) to help participants get more comfortable with
using AI tools in hydrological modeling. This workshop will cover the
following major topics:
·Understanding the basics of Artificial Intelligence
·Utilizing AI in hydrological modeling
·Examining the benefits of AI in hydrology
·A case study on data preparation and AI model development
·Hands-on practice material to learn how to use AI tools in
hydrologic models
By the end of this workshop,
participants would be able to identify the benefits of using AI in hydrology
and will have the skills to develop their own AI hydrologic models.
Resource Person
Dr Akif Rahim
Deputy Director, Flood Risk Assessment Unit (FRAU), Govt. of the
Punjab Irrigation Department, Lahore.
Dr Akif Rahim is a hydrological modeling expert with extensive experience
coupling climate change intensification into the models. He is highly
proficient in computer programming languages such as R, C++, and Python. He
is well versed in the latest technologies of machine learning and artificial
intelligence as applied to hydrology. He has participated in numerous
national and international conferences, such as the EGU, IAHS, and JPGU, to
share his research and novel ideas. In addition to his professional work,
Akif Rahim has collaborated with LUMS to develop an AI model for reservoir
operation and with Google Pacific Asia to create framework of an AI-based
flood forecasting tool for Pakistan. Currently, he is part of a research team
at the Japan Meteorological Research Institute (MRI) developing
high-resolution (1km*1km) climate projections for the Indus Basin.
Furthermore, Dr Akif Rahim has taught courses in "Exploratory Data
Analysis" and "Environmental Data Presentation" to M.Sc.
students at the Czech University of Life Sciences, Prague, Czech Republic.
OGC's API - from WMS/WFS to OPEN API (Online
and Free)
Objectives/Contents
The workshop explains the basics of the traditional and the new architectural
approaches and the associated data encoding in XML and JSON. Essential
characteristics of HTTP are introduced as basis for the REST approach. Parts
of the new OGC APIs are briefly introduced and demonstrated by sample
applications.
Resource Person
Dr Franz-Josef Behr
Professor
of Visualization and Processing of Geospatial Data, Stuttgart University of
Applied Sciences, Germany.
Study Dean
Master Photogrammetry and Geoinformatics
Co-chair
ICA Commission on SDI & Standards (http://sdistandards.icaci.org/)
Co-Founder
of "Applied Geoinformatics for Society and
Environment" (http://applied-geoinformatics.org/)
Member SDI
Advisory Board, State of Baden-Wurttemberg, Germany
Author of Strategisches GIS-Management
Laboratory
for interoperable, and open-source Geospatial Software, Data and Standards (OSGeo-Lab)
OGC
Business Alternate for HFT Stuttgart, Co-Maintainer of ICA's Standards Wiki
Member NA
005-03-03 AA Geoinformation (CEN/TC 287+ISO/TC 211)
Co-Editor,
Free and Open Source Software for Geospatial Conference Proceedings.
Date/Time
13 March 2023, Tuesday (16:00 -
17:30 Hours)
Venue
Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam
Campus, University of the Punjab, Lahore.
It is related to the use of Python for GIS, tool development, workflow
customization, and automation. To begin, we will see a simple workflow
automation example, and finally, we will see a case study.
Resource Person
Dr Muhammad Athar Javaid
Assistant Professor, Department of
Space Science, University of the Punjab, Lahore.
PhD from University Stuttgart,
Germany in Satellite Geodesy. MSc Geo-engine from University Stuttgart,
Germany. MSc GIS and MSc Space Science from University of the Punjab, Lahore.
His study interests include, development of GIS tools, data mining, map
projection and datum transformation, ellipsoid/spheroid using programming
languages.
Date/Time
14 March 2023, Tuesday (11:00 -13:00 Hours)
Venue
Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam
Campus, University of the Punjab, Lahore.
Analyzing Future Hydro-climatic Projections
Using CDO
Objectives/Contents
With the development and availability of advanced
tools and/or data like; Climate Data Operators (CDO) and global climatic
datasets, there is a need to build the capacity of climate and water
professionals. The proposed training on Analyzing Future Hydro-climatic
Projections Using CDO is of basic to intermediate level and suitable for the
researchers, experts and other stakeholders working in environment, earth
sciences, climate and water and related fields. CDO is a command line suite
developed by the Max Planck Institute of Germany. CDO is a collection of
command line Operators to manipulate and analyze Climate and NWP model Data.
This workshop aims to provide participants with a comprehensive overview of
how CDO can be applied for analyzing Future Hydro-climatic Projections. This
workshop will cover the following topics:
·Understanding the basics of CDO
·Accessing IPCC climate change data and
future projections
·Analyzing the future Hydro-climatic
Projections and creating a time series for a case study
·Hands-on practice material about using
CDO in future hydro-climatic data
Resource Person
Dr Aftab Nazeer
Assistant
Professor, Agricultural Engineering Department, BZ University, Multan.
He has recently
completed PhD from TU Delft/IHE Delft, the Netherlands. His research work was
focused on Analyzing the Hydro-climatic regime of snow covered and glacierised Upper Indus Basin under current and future
climates. Dr Aftab is an agricultural engineer, hydro-climatic modeler,
passionate programmer and keen on remote sensing and GIS. He has collaborated
on various projects, including "enhancing transboundary water cooperation
through economic valuation of biodiversity & ecosystem services in Kabul River
Basin" and "Achieving SDG 6: Inclusive Governance of Urban Water &
Sanitation". His research interests include; hydro-climatic modelling, snow
and glacier dynamics, hydrological extremes, climate change impacts, ground
& remote sensing data handling, and computer programming.
Date/Time
14 March 2023, Tuesday (14:00 - 16:00 Hours)
Venue
Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam
Campus, University of the Punjab, Lahore.
Satellite Image Classification using Machine
Learning algorithms in R.
Objectives/Contents
Most of the classification algorithms are found in commercial
software, which are not offered for free. The remote sensing community has no
liberty to change its tuning parameters, etc., to achieve desired
meaningful results. In this workshop, I shall be focusing on hands-on
demonstration by using open-source advanced machine learning algorithms such
as k-NN, SVM, etc. for the classification of multispectral remotely sensed
images.
Resource Person
Drrer. nat.
Sami Ullah
Assistant Professor/Head of the Forestry & Range Management,
University of Kohsar, Muree,
Pakistan.
Co-PI (Forest Resources Assessment), GIS and Space Application
in Geoscience Lab (G-SAG), National Center of GIS and Space Application
(NCGSA), Institute of Space Technology (IST), Islamabad.
Date/Time
15 March 2023, Wednesday (11:00 - 13:00 Hours)
Venue
Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam
Campus, University of the Punjab, Lahore.
Remote
Sensing Based Tools for Air Pollution Monitoring
Objectives/Contents
Air quality in Pakistan's major
cities is worsening at higher rate as result of rapid urbanisation
and growth of road transport. Due to the liberal leasing system adopted by
the financial institutions, the density of transport has increased many folds
and the present roads infrastructure cannot cater the need of growing
automobile flow. As a result, frequent traffic jams, road accidents and
exponential increase in air pollution levels is experienced not only in the
big cities but also along the major national highways.
Lack of air quality monitoring
infrastructure across the Pakistan is major hurdle in regulating the air
quality at all levels and regional imbalance too. Conventional air quality
monitoring network cost is very high and country like Pakistan is unable to
afford this.
Satellite based air pollution
monitoring has huge potential to fill this gap. However, the validation of
tropospheric trace gas observations from satellite observations is a
challenging task for several reasons e.g. vertical sensitivity of satellite
instruments, spatial extent of the satellite ground pixel, cloud coverage etc.
This training is designed to experience the data retrieval algorithms and
validate satellite data from OMI and TropOMI by
using MAX-DOAS observations for both at fixed locations and at a moving
platform.
Resource
Person
Prof Dr
Muhammad FahimKhokhar
Prof. Dr. Muhammad FahimKhokhar is working as a
Tenured Professor at the Institute of Environmental Sciences and Engineering,
School of Civil and Environmental Engineering, National University of Sciences
and Technology (IESE, SCEE, NUST) Islamabad, Pakistan. He had his Doctoral
degree from Germany followed by three post-doctorates from Germany and
France. He excelled in satellite remote sensing, air quality monitoring and
assessment, climate change and its impacts, DOAS (differential optical
absorption spectroscopy) technique, data retrieval algorithm, and analysis.
He worked on various European research projects, like NOVAAC, GEMS, and MACC
within the 6th and 7th framework of European commissions.
Recently, he has been selected
as a member of Pakistan's Climate Change Council, Ministry of Climate Change,
Govt of Pakistan.
At IESE-NUST, Dr. Khokhar is the Director of C-CARGO (Climate Change and
Atmospheric Research Group) and CEO of Spin-off named Environmental Services
and Sustainable Solutions (ES3). The Focus of his research includes climate
change, impacts, mitigation and adaptation, air quality monitoring, and
assessment. He has obtained various International and national research
grants and consultancies.
He has a commendable research
record and was conferred the SCEE-Best researcher award for the year 2020-21.
He has published his work in many scientific journals of international repute
such as Nature, Journal of Hazardous material, AMT, Environmental Pollution,
Atmospheric environment, etc.
Please send bank payment receipt along with title of workshop(s) registered at: rsgcc-2023@pu.edu.pk
Workshop Mode:
Detailed lecture will be delivered and requisite software working will be demonstrated (if required) on multi-media projector by the resource person (face-to-face).
Hands-on or practical work will not be performed by the participants.
Participants may bring laptops for their own working or a specific software installation guidance etc. (subject to the availability of that specific software, relevant person and time).
PKR 1000/- (One thousand rupees) per person for one workshop, if registered till 06 March 2023 (4:00pm PST).
Late Registration Fee:
PKR 1500/- (Fifteen hundred rupees) per person for one workshop, if registered after 06 March 2023. A person can get registration before starting of a workshop – subject to the availability of slot/seat.
Registration fee includes;
Workshop material, certificate and refreshment.
Complimentary membership of “Association of Professionals for Remote Sensing, GIS and Climate Change (ARGC)”.
