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Course Detail

Course Name Integrated Disaster Management, Risk Reduction & Resilience
Course Code 25GE635
Program M. Tech. in Geoinformatics and Earth Observation (For Working Professionals & Regular Students)
Credits 3
Campus Amritapuri

Syllabus

Syllabus

Module 1: Foundations of Disaster Risk and Resilience (6 hrs) 

  • Understanding Hazards: Climate-related extreme events; classification of single and multi-hazard events, their interactions, cascading effects, and the concept of dynamic vulnerability.? 
  • Overview of disaster typologies and the risk-resilience continuum 
  • Components: hazard, exposure, vulnerability, coping, adaptive capacity 
  • ?The Disaster Management Cycle vs. Resilience Cycle 
  • Multidimensional approaches: environmental, economic, institutional, technological, socio-cultural.? 

Module 2: Disaster Risk Reduction and Management Frameworks (6 hrs) 

  • Sendai Framework for DRR: priorities, targets, indicators 
  • ?National and subnational frameworks? 
  • Role of development planning in DRR mainstreaming 
  • Concepts and Operational Approaches Across? Disaster Timeline: Pre-, during-, and post-disaster management frameworks demonstrated through case studies using relevant tools such as citizen-centric applications, data integration platforms, IoT-based monitoring systems, GIS-based risk platforms, and mobile disaster reporting systems. 

Module 3: Resilience Frameworks and Assessment (6 hrs) 

  • Theoretical foundations of resilience: Global resilience assessment tools? 
  • Resilience mapping techniques: participatory mapping, systems mapping 
  • Indicators and composite indices for resilience assessment 
  • Role of social capital, traditional knowledge, and local institutions 
  • Gender, caste, age, disability, and intersectionality in disaster response 
  • ?Measuring resilience: baseline surveys, longitudinal impact studies 
  • Tools: geospatial dashboards, resilience scorecards, systems mapping.? 

Module 4: Tools, Technologies, and Emergency Management Systems (6 hrs) 

  • ?Real-time monitoring: IoT, Remote Sensing, Drones, AI/ML for disaster prediction 
  • Early warning systems (hydro-meteorological, geohazard, multi-hazard) 
  • ?Rapid needs assessment and emergency response protocols (e.g., SPHERE Standards, ICS) 
  • Digital tools: mobile apps, crisis communication, crowd-sourced reporting 

Module 5: Multidimensional Case Studies and Integrated Planning (4 hrs) 

  • Cyclone Fani (Odisha): risk-informed recovery 
  • ?Amrita LEWS (Kerala): landslide early warning and community resilience 
  • ?Urban flooding in Chennai and Mumbai: nature-based solutions 
  • Community resilience building in indigenous and hilly areas 
  • 2004 Indian Ocean Tsunami 
  • 2023 South Lohnak Lake Glacial Lake Outburst Floods, 2013 Kedarnath Glacial Lake Outburst Floods? 
  • Other relevant single and multi-hazard case studies.? 
  • Comparative Analysis of Case Studies: Examination of successes and failures—highlighting lessons learned, strategies that worked or failed, and how effective interventions helped reduce damage despite increasing hazard severity.? 

Practical / Field Components (15 hrs) 

  • ?Resilience scorecard analysis for a selected community 
  • Scenario planning and simulation-based rapid response 
  • Resilience systems mapping using participatory approaches 
  • ?Rapid appraisal using QGIS for hazard overlay and social infrastructure 
  • ?Case review and critique of national/state DRR plans 

Objectives and Outcomes

Course Description 

This course provides a systems approach to understanding disasters and resilience through the lenses of risk reduction, technology, governance, socio-cultural dynamics, and emergency response. It emphasizes resilience as a cross-cutting paradigm, integrating disaster risk management, development, and climate adaptation using real-world tools, cases, and frameworks. 

Course Outcomes  

CO1 

Diagnose vulnerabilities and assess resilience at the local and system levels 

CO2 

?Apply evidence-based methods for mapping and evaluating disaster resilience 

CO3 

Recommend policy interventions and governance strategies 

CO4 

Integrate technology, local knowledge, and institutional mechanisms into risk reduction and emergency planning. 

Text Books / References

  • Ramesh (2023) – Embrace of Compassion 2004 Indian Ocean Tsunami, Swift transformation & Community resilience.? 
  • UNDRR (2015) – Sendai Framework for Disaster Risk Reduction 
  • Cutter et al. (2008) – A place-based model for community resilience 
  • ?Wisner et al. (2004) – At Risk: Natural Hazards, People’s Vulnerability and Disasters 
  • ?UNDP (2020) – Disaster Resilience Scorecard for Cities 
  • ?NDMA (India) – National Guidelines 
  • ?IPCC (2023) – AR6 Climate Risk & Resilience Chapters 

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