TRAINING CURRICULUMN Training Title Application of GIS and Remote Sensing in Climate Risk Management (ArcGIS, Erdas, QGIS Cloud) Training Level Fundamental Level Training Duration 45 Hours (15 Days × 3 Hours per day) Mid and Final Assessment, 06 Hours (02 Days × 3 Hours per day) Implementing Institution Urban and Rural Planning Discipline, Khulna University Program Enhancing Digital Government and Economy (EDGE) Project Bangladesh Computer Council (BCC) ICT Division, Ministry of Posts, Telecommunications and Information Technology Government of the People’s Republic of Bangladesh   1. Rational of The Training Program This training program is designed to strengthen the capacity of students and professionals in applying Geographic Information Systems (GIS) and Remote Sensing (RS) for effective climate risk management. In a highly climate-vulnerable country like Bangladesh, increasing threats such as floods, cyclones, sea-level rise, and salinity intrusion demand informed, data-driven planning and decision-making. GIS and RS technologies play a crucial role in analyzing spatial and temporal patterns, mapping hazards, assessing vulnerability, and supporting risk-informed strategies. However, there is a notable gap in practical skills and applied knowledge in using these tools among many learners and practitioners. This program addresses that gap by combining theoretical understanding with hands-on training using widely used platforms such as ArcGIS, ERDAS, and QGIS Cloud. Participants will gain skills in data acquisition, processing, spatial analysis, and visualization tailored to climate-related applications. The training also emphasizes real-world case studies and problem-solving approaches to enhance learning outcomes. Aligned with national initiatives like the EDGE Project, the program contributes to building a digitally skilled workforce capable of supporting evidence-based policy formulation and sustainable development. Ultimately, it aims to enhance participants’ ability to translate geospatial data into actionable insights for improving climate resilience. 2. Objectives of the Training Program • To develop foundational knowledge of Geographic Information Systems (GIS) and Remote Sensing (RS) and their applications in climate risk management. • To build practical skills in spatial data analysis, hazard mapping, and climate risk assessment using tools such as ArcGIS, ERDAS, and QGIS Cloud. • To enhance participants’ capacity to support evidence-based decision-making and policy development for climate resilience and sustainable development. 3. Training Contents The training content of this program is designed to provide a comprehensive and structured learning pathway that integrates both theoretical foundations and practical applications of Geographic Information Systems (GIS) and Remote Sensing (RS) in climate risk management. It is organized into three progressive modules, starting from fundamental concepts of climate risk, moving through essential GIS and RS tools and techniques, and culminating in advanced applications and policy-oriented decision-making. The following table summarizes the key topics and core contents covered under each module. Table 1: Key Contents of the Training Program. Module Topic Key Contents Module 1: Climate Risk Management Essentials Climate Change Basics Climate change concepts, greenhouse effect, IPCC overview, climate change impacts and risks, IPCC Assessment Reports Risk Concepts & Management Hazard, vulnerability, risk concepts, climate risk vs disaster risk, risk equations, basic risk management framework GIS-RS Applications in CRM Role of GIS and RS in climate risk management, integration of spatial and non-spatial data, hazard mapping (flood, cyclone, drought), exposure and vulnerability analysis, climate risk indices, spatial risk modeling Module 2: GIS and Remote Sensing Essentials Introduction to Remote Sensing Principles of RS, electromagnetic spectrum, sensors (active/passive), platforms (satellite, UAV, aerial), applications in environmental monitoring Remote Sensing Data & Processing RS data types (raster, spectral, temporal), data sources (Landsat, Sentinel, MODIS), preprocessing (georeferencing, atmospheric & radiometric correction), image interpretation, classification techniques Introduction to GIS GIS fundamentals, spatial data types (vector/raster), coordinate systems, projections, data sources, GIS applications in planning GIS Operations (ArcGIS) ArcGIS interface, data input and editing, spatial analysis (buffer, overlay, clip, intersect), attribute data handling, map design and visualization Module 3: Applications of GIS & RS in Climate Risk Management Coastal & Marine Applications Coastal dynamics, flood mapping, sea level rise assessment, coastal vulnerability analysis Land Applications Land use/land cover (LULC) classification, change detection, accuracy assessment, validation techniques Climate Applications Land Surface Temperature (LST), Urban Heat Island (UHI), climate indicators, spatio-temporal analysis Water & Vegetation Applications NDVI, NDWI, NDBI, SAVI, vegetation and water monitoring, multi-index analysis Hazard & Vulnerability Hazard assessment, vulnerability frameworks, spatial multi-criteria analysis (SMCA), hazard zonation Climate Risk Analysis Climate risk concepts, risk index development, scenario-based risk assessment, risk mapping and visualization Advanced Techniques Machine learning in GIS/RS, time-series analysis, UAV and LiDAR applications, advanced spatial modeling National Policy & Strategy Development Translating GIS outputs to policy, decision-support systems, climate adaptation planning, Nationally Determined Contricution (NDC) 4. Detailed Session Plan with Time and Resource Persons This section presents the structured delivery plan of the training program, outlining each session in a day-wise format along with allocated time and assigned resource persons. The plan ensures a balanced integration of theoretical lectures, hands-on practical exercises, and interactive discussions across all sessions. It also facilitates effective coordination among facilitators and participants by clearly specifying the schedule and instructional responsibilities for each topic. This organized framework supports smooth implementation of the training, ensuring consistency, efficiency, and achievement of the intended learning outcomes. The detailed session-wise breakdown is provided in the following table. Training Time Batch 1 (B1): 4:00 PM – 7:00 PM (Weekdays) | 09:00 AM – 12:00 PM (Weekends) Batch 2 (B2): 4:00 PM – 7:00 PM (Weekdays) | 3:00 PM – 6:00 PM (Weekends) Table 2: Detailed Session Plan with Time Schedule and Resource Persons. Session Number Date Day Session Title Resource Person Module 1 Climate Risk Management Essentials Session 1 Apr 17 (B1, B2) Fri Climate Change Basics NMH Session 2 Apr 18 (B1, B2) Sat Risk Concepts & Management NMH Session 3 Apr 19 (B1) Apr 20 (B2) Sun Mon GIS-RS Applications in CRM NMH Module 2 GIS and Remote Sensing Essentials Session 4 Apr 21 (B1) Apr 22 (B2) Tue Wed Introduction to Remote Sensing TR Session 5 Apr 24 (B1, B2) Fri Remote Sensing Data & Processing TR Session 6 Apr 25 (B1, B2) Sat Introduction to GIS TR Session 7 Apr 26 (B1) Apr 27 (B2) Sun Mon GIS Operations using ArcGIS TR Session 8 Apr 28 (B1, B2) Tue Mid-term Evaluation Moduel 3 Application of GIS and RS in Climate Risk Management Session 9 Apr 29 (B1) Apr 30 (B2) Wed Thu Applications–I: Coastal & Marine TR Session 10 May 1 (B1, B2) Fri Applications–II: Land MJA Session 11 May 2 (B1, B2) Sat Applications–III: Climate MJA Session 12 May 3 (B1) May 4 (B2) Sun Mon Applications–IV: Water & Vegetation MJA Session 13 May 5 (B1) May 6 (B2) Tue Wed Applications–V: Hazard & Vulnerability NMH Session 14 May 8 (B1, B2) Fri Applications-VI: Climate Risk NMH Session 15 May 9 (B1, B2) Sat Advanced Tecnhiques for CRM MF Session 16 May 10 (B1) May 11 (B2) Sun Mon National Policy and Strategy Development MZH+NMH Session 17 May 15 (B1, B2) Fri Final Evaluation Table 3: Acronyms and Details of the Resource Persons. SL. Acronyms Full Name, Designation & Address 1 NMH Nur Mohammad Ha-Mim Assistant Professor Urban and Rural Planning Discipline Khulna University, Khulna-9208 2 TR S.M. Tafsirul Islam, Assistant Professor Urban and Rural Planning Discipline Khulna University, Khulna-9208 3 MJA Md. Jahidul Ashik Scientific Officer (Water Resource Division) Bangladesh Space Research and Remote Sensing organization (SPARRSO), Ministry of Defence 4 MF Minhazul Ferdous GIS-RS Analyst Arannayk Foundation, Dhaka-1206 5 MZH Md. Zakir Hossain Professor and Head Urban and Rural Planning Discipline Khulna University, Khulna-9208 Table 4: Session-wise Training Details (Module, Session, Content, and Session Structure). Module/Session Number Module/Sessoin Details Session Structure Module 1 Climate Risk Management Essentials Session 1 Climate Change Basics Session Content: • Climate change: myth or reality • Greenhouse effect vs extended greenhouse effect • Intergovernmental Panel on Climate Change • Climate change impacts & risks • IPCC Assessment Reports Lecture: 1.30 hour Hands-on: 1 hour Open Discussion: 30 minutes Session 2 Risk Concepts & Management Session Content: • Risk, hazard, and vulnerabiltiy • Climate risk vs disaster risk • Concepts & Risk equations • Climate risk management Lecture: 1.30 hour Hands-on: 1 hour Open Discussion: 30 minutes Session 3 GIS-RS Applications in CRM Session Content: • Role of GIS and Remote Sensing in CRM • Integration of spatial and non-spatial data for CRM • Mapping climate hazards (flood, cyclone, drought) • Exposure and vulnerability analysis • Development of climate risk indices • Risk assessment and spatial modeling techniques Lecture: 1.30 hour Hands-on: 1 hour Open Discussion: 30 minutes Module 2 GIS and Remote Sensing Essentials Session 4 Introduction to Remote Sensing Session Content: • Principles and components of remote sensing • Electromagnetic spectrum and energy interaction • Types of sensors (active vs passive) • Platforms (satellite, UAV, aerial) • Applications of remote sensing in environmental monitoring Lecture: 1.30 hour Hands-on: 1 hour Open Discussion: 30 minutes Session 5 Remote Sensing Data & Processing Session Content: • Types of RS data (raster, spectral, temporal) • Data sources (e.g., Landsat, Sentinel, MODIS) • Image preprocessing (georeferencing, radiometric & atmospheric correction) • Image interpretation basics • Introduction to image classification (supervised vs unsupervised) Lecture: 30 min Hands-on: 2 hour Open Discussion: 30 minutes Session 6 Introduction to GIS Session Content: • Fundamentals and components of GIS • Spatial data types (vector vs raster) • Coordinate systems and projections • Data sources (survey, GPS, remote sensing, open data) • GIS applications in planning and decision-making Lecture: 1.30 hour Hands-on: 1 hour Open Discussion: 30 minutes Session 7 GIS Operations using ArcGIS Session Content: • Introduction to ArcGIS interface and tools • Data input, editing, and management • Spatial analysis (buffer, overlay, clip, intersect) • Attribute data handling and querying • Map design and visualization (layouts, symbology) Lecture: 30 min Hands-on: 2 hour Open Discussion: 30 minutes Session 8 Mid-term Evaluation Module 3 Application of GIS and RS in Climate Risk Management Session 9 Applications–I: Coastal & Marine Session Content: • Coastal zone dynamics and monitoring • Flood mapping using remote sensing and GIS • Sea level rise assessment and impact mapping Case studies on coastal vulnerability Lecture: 30 min Hands-on: 2 hour Open Discussion: 30 minutes Session 10 Applications–II: Land Session Content: • Concepts of Land Use and Land Cover (LULC) • LULC classification techniques (supervised & unsupervised) • Change detection analysis • Accuracy assessment methods (confusion matrix, kappa coefficient) • Validation using ground truth and reference data Lecture: 30 min Hands-on: 2 hour Open Discussion: 30 minutes Session 11 Applications–III: Climate Session Content: • Retrieval of Land Surface Temperature (LST) • Urban Heat Island (UHI) effect analysis • Spatio-temporal analysis of temperature patterns • Use of satellite data for climate monitoring • Climate-related indicators and mapping Lecture: 30 min Hands-on: 2 hour Open Discussion: 30 minutes Session 12 Applications–IV: Water, Vegetation & Forest Session Content: • Water indices (NDWI) and applications • Vegetation indices (NDVI) and interpretation • Other indices (NDBI, SAVI, etc.) • Multi-index analysis for environmental monitoring • Deforestation pattern and trend Lecture: 30 min Hands-on: 2 hour Open Discussion: 30 minutes Session 13 Applications–V: Hazard & Vulnerability Session Content: • Concepts of hazard, exposure, and vulnerability • Hazard assessment (flood, cyclone, drought, etc.) • Vulnerability assessment frameworks • Spatial multi-criteria analysis (SMCA) Mapping hazard and vulnerability zones Lecture: 30 min Hands-on: 2 hour Open Discussion: 30 minutes Session 14 Applications-VI: Climate Risk Session Content: • Climate risk concepts (hazard, exposure, vulnerability integration) • Climate risk assessment methodologies • Risk index development using GIS and RS • Scenario-based risk analysis • Risk visualization and communication Lecture: 30 min Hands-on: 2 hour Open Discussion: 30 minutes Session 15 Advanced Tecnhiques for CRM Session Content: • Advanced spatial analysis techniques • Introduction to machine learning in GIS & RS • Time-series and trend analysis • Use of UAV (drone) and LiDAR data Lecture: 1.30 hour Hands-on: 1 hour Open Discussion: 30 minutes Session 16 National Policy and Strategy Development Session Content: • Translating geospatial outputs into policy insights • Decision-support systems using GIS • Nationally Determined Contricution (NDC) • Developing strategies for climate risk management Lecture: 1.30 hour Hands-on: 1 hour Open Discussion: 30 minutes Session 17 Final Evaluation 5. Evaluation Techniques The performance of trainees will be assessed through a combination of continuous and final evaluation methods to ensure both theoretical understanding and practical competency in GIS and Remote Sensing applications for climate risk management. Attendance and active participation will contribute to class engagement, while quizzes and assignments will evaluate conceptual clarity and regular learning progress. A mid-term assessment will measure intermediate knowledge and skill development, and a project component will assess the ability to apply GIS and RS techniques to real-world climate risk problems. The final assessment will comprehensively evaluate overall learning outcomes, integrating both theoretical and practical aspects of the training. Table 5: Evaluation Breakdown. Evaluation Components Weight (%) Class attendance 10% Quiz and Assignments 20% Mid Term Assessment 20% Project 25% Final Assessment 25% Total 100 N.B. Trainees are also required to develop and maintain professional profiles, including a LinkedIn profile, project repository, and freelancing profile, as part of their professional skill development. 6. Recommended Reading Materials • Jensen, J. R. (2005). Introductory Digital Image Processing: A Remote Sensing Perspective – Core textbook for understanding satellite image processing and interpretation. • Campbell, J. B., & Wynne, R. H. (2011). Introduction to Remote Sensing – Comprehensive guide to RS principles, sensors, and applications. • Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic Information Science and Systems – Fundamental GIS concepts and spatial analysis techniques. • Burrough, P. A., McDonnell, R. A., & Lloyd, C. D. (2015). Principles of Geographical Information Systems – Standard reference for GIS theory and applications. • IPCC Assessment Reports (Latest Edition) – Authoritative source on climate change science, impacts, and adaptation strategies. • NASA Earth Observatory Resources – Practical RS-based climate and environmental case studies. • USGS Landsat Science (https://landsat.usgs.gov/) – Data source and documentation for Landsat satellite applications. • ESA Sentinel Online (https://sentinel.esa.int/) – Training and data resources for Sentinel satellite imagery. • ERDAS Field Guide / Leica Geosystems ERDAS IMAGINE Manual – Practical guide for image processing and classification workflows.