Workshops on

Remote Sensing, GIS and Climate Change

Target Audience: 

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:



    Time Series Analysis of Remote Sensing Data Cubes using Google Earth Engine


    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


    Description: Description: Hammad GILANI | Researcher - Remote Sensing and GIS | PhD | International  Water Management Institute, Colombo | IWMI | Research profileDr Hammad Gilani

    Dr Hammad Gilani 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.


    13 March 2023, Monday (14:00 - 16:00 Hours)


    Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam Campus, University of the Punjab, Lahore.

    Workshop Flyer

    Download Flyer of Workshop-1



    AI & ML for Hydrological Modeling


    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.


    13 March 2023, Monday (14:00 - 16:00 Hours) - Parallel Workshop


    Classroom-2, IER/Faisal Auditorium, Quaid-i-Azam Campus, University of the Punjab, Lahore.

    Workshop Flyer

    Download Flyer of Workshop-2




    OGC's API - from WMS/WFS to OPEN API (Online and Free)


    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


    Description: Description: Franz Josef Behr  Digital University KeralaDr 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 (

    Co-Founder of "Applied Geoinformatics for Society and Environment" (

    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.


    13 March 2023, Tuesday (16:00 - 17:30 Hours)


    Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam Campus, University of the Punjab, Lahore.

    Workshop Flyer

    Download Flyer of Workshop-3




    Python for GIS


    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


    Description: Description: Dr. Muhammad Athar JavaidDr 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.


    14 March 2023, Tuesday (11:00 -13:00 Hours)


    Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam Campus, University of the Punjab, Lahore.

    Workshop Flyer

    Download Flyer of Workshop-4




    Analyzing Future Hydro-climatic Projections Using CDO


    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.


    14 March 2023, Tuesday (14:00 - 16:00 Hours)


    Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam Campus, University of the Punjab, Lahore.

    Workshop Flyer

    Download Flyer of Workshop-5








    Satellite Image Classification using Machine Learning algorithms in R.


    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


    Dr rer. 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.


    15 March 2023, Wednesday (11:00 - 13:00 Hours)


    Classroom-1, IER/Faisal Auditorium, Quaid-i-Azam Campus, University of the Punjab, Lahore.

    Workshop Flyer

    Download Flyer of Workshop-6





    Remote Sensing Based Tools for Air Pollution Monitoring


    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


    Description: Description: D:\RSGCR Lab\Conference 2023\Workshops\Dr Fahim.jpgProf Dr Muhammad Fahim Khokhar

    Prof. Dr. Muhammad Fahim Khokhar 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.


    15 March 2023, Wednesday (11:00 - 13:00 Hours) - Parallel Workshop


    Classroom-2, IER/Faisal Auditorium, Quaid-i-Azam Campus, University of the Punjab, Lahore.

    Workshop Flyer

    Download Flyer of Workshop-7



    Registration Link:       

    Please send bank payment receipt along with title of workshop(s) registered at:


    Workshop Mode:                 

    1. 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).
    2. Hands-on or practical work will not be performed by the participants.
    3. 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).


    Workshop Venue:                

    Faisal Auditorium, Quaid-i-Azam (New) Campus,

    University of the Punjab, Lahore.

    Lat/Long:         31°30'12.71"N, 74°18'30.92"E (Click here)


    Workshop Seats (Max):        30 participants


    Registration Fee: (First come, first served)

    • Early-bird Registration Fee:

    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)”.


    Registration Link:       


    Payment Modes: 

    Bank Transaction:

    Account Title:             Establishment of National Center of GIS and Space Application PU, Lhr

    Account No.                2045004169283698

    IBAN:                         PK78NBPA2045004169283698

    Swift Code:                 NBPAPKKA02L

    Bank Address:            

    National Bank of Pakistan (NBP)

    Quaid-i-Azam Campus Branch

    University of the Punjab, Lahore, Pakistan.


    Please send bank payment receipt at:

    Cash payment

    Through cash payment at the Registration Desk, a person can get registration for a workshop before starting (subject to the availability of seats).

    For registration and queries, please contact:

    Conference Secretary