Why Technology Matters in Disaster Management

The Sendai Framework for Disaster Risk Reduction (2015–2030) explicitly recognises science, technology, and innovation as foundational to achieving its seven global targets. Technology enables the shift from reactive disaster response to proactive risk reduction through:

  • Early warning systems (EWS) that provide lead time for evacuation
  • Remote sensing for real-time monitoring of hazards
  • GIS-based hazard mapping and vulnerability assessment
  • AI-powered predictive analytics for disaster modelling
  • Mobile and digital platforms for community-level alerts

India's space programme, managed by ISRO, gives the country one of the world's most advanced satellite-based disaster management systems among developing nations.

ISRO's Disaster Management Support (DMS) Programme

NRSC (National Remote Sensing Centre), Hyderabad is the nodal centre for satellite-based disaster management support under ISRO.

Feature Details
NRSC full name National Remote Sensing Centre
Location Hyderabad (Earth Station at Shadnagar, ~55 km from Hyderabad)
Under ISRO / Department of Space
DMS mandate Develop satellite-based information services for disaster mitigation, relief, and management at local, state, and national levels
Key systems Decision Support Centre (DSC); National Database for Emergency Management (NDEM)
Disasters covered Floods, cyclones, drought, landslides, forest fires, earthquakes, oil spills

NRSC provides:

  • Satellite-based damage assessment maps within 24–48 hours of a disaster
  • Pre- and post-disaster comparison imagery
  • Near-real-time flood inundation mapping
  • Land subsidence monitoring (using SAR interferometry)

Remote Sensing Satellites

RISAT — Radar Imaging Satellites

Satellite Launch Sensor Key Feature
RISAT-1 2012 C-band SAR India's first indigenous Synthetic Aperture Radar (SAR) satellite
RISAT-2 2009 X-band SAR (Israeli TECSAR-based) 24-hour, all-weather capability
RISAT-2B 2019 X-band SAR Improved resolution (0.35m); primary DM and defence satellite
RISAT-2BR1 2019 X-band SAR Sub-metre resolution

Why SAR for disaster management:

  • SAR (Synthetic Aperture Radar) transmits its own microwave signals — does not depend on sunlight
  • Penetrates cloud cover (critical during monsoon floods and cyclones)
  • Works at night — 24/7 imaging
  • Applications: flood mapping, landslide monitoring, oil spill detection, crop damage assessment, coastal erosion

Earth Observation Satellites

Satellite Use in DM
Resourcesat-2/2A Land cover change; agricultural drought monitoring; LISS-IV at 5.8m resolution
Cartosat-3 Sub-metre (0.25m) panchromatic; detailed damage assessment; urban flood mapping
EOS-04 (RISAT-1A) C-band SAR; agricultural monitoring; flood mapping
Oceansat-3 Ocean colour and surface winds; cyclone track monitoring

Meteorological Satellites — INSAT Series

India's Indian National Satellite (INSAT) system is the backbone of weather forecasting and cyclone early warning.

Satellite Key Features Role in DM
INSAT-3D 6-channel imager + 19-channel sounder Temperature/humidity profiling; cloud-top winds; cyclone tracking
INSAT-3DR Improved version of 3D (2016) Real-time severe weather monitoring; Day Night Band
INSAT-3DS 2024 Next-gen meteorological satellite; enhanced atmospheric sounding
Kalpana-1 (METSAT-1) 2002; geostationary Continuous cloud imagery; cyclone monitoring

IMD-INSAT cyclone warning system:

  • India's India Meteorological Department (IMD) uses INSAT-3D/3DR data to issue cyclone warnings with 3–5 day lead time
  • IMD's track record: zero casualties from cyclone Fani (2019) and Amphan (2020) despite their intensity — due to effective early warnings
  • INSAT provides half-hourly satellite imagery updates for cyclone tracking

Megha-Tropiques (2011):

  • Joint ISRO–CNES (France) mission
  • Studies tropical water cycle and energy exchange
  • Provides data on cloud microphysics and precipitation — important for cyclone intensification forecasts
  • Decommissioned March 2023 after a successful mission

GIS (Geographic Information System) in Disaster Management

GIS integrates spatial data (satellite imagery, maps) with attribute data (population, infrastructure, land use) to enable spatial analysis for DM.

Applications of GIS in DM

Phase GIS Application
Prevention/Mitigation Hazard mapping (flood zones, seismic zones, landslide-prone areas); risk zonation; land-use planning
Preparedness Vulnerability maps; evacuation route planning; resource inventory (hospitals, shelters)
Response Damage assessment; search and rescue routing; relief resource allocation
Recovery Reconstruction planning; damage extent mapping; beneficiary identification

BHUVAN portal (ISRO):

  • India's national geo-portal at bhuvan.nrsc.gov.in
  • Provides satellite imagery, thematic maps, and disaster-specific geospatial data
  • Used by NDMA, SDMAs, and state governments for DM planning
  • National Database for Emergency Management (NDEM) hosted on Bhuvan

National Cyclone Risk Mitigation Project (NCRMP):

  • Uses GIS and remote sensing for cyclone risk mapping along India's 7,516 km coastline
  • Identifies vulnerable coastal settlements for early warning and evacuation planning

GPS / GNSS — NavIC in Disaster Management

NavIC (Navigation with Indian Constellation), also called IRNSS (Indian Regional Navigation Satellite System), is India's own regional satellite navigation system — analogous to GPS (USA), GLONASS (Russia), Galileo (EU), and BeiDou (China).

Feature Details
Operational satellites 7 satellites (3 geostationary + 4 geosynchronous)
Coverage India and 1,500 km surrounding region
Accuracy <20m standard; <10m with special signal
DM role Real-time positioning for rescue operations; location tracking of field teams; guidance for relief vehicles

NavIC messaging for disaster alerts:

  • The NavIC signal structure has provision to transmit text messages alongside navigation signals
  • Used by State Disaster Management Authorities (SDMAs) to disseminate flood, cyclone, and earthquake warnings
  • NavIC-compatible receivers in fishing boats provide early warnings to fishermen at sea
  • When mobile phones become NavIC-compatible, disaster alerts can be sent directly via satellite signal without depending on telecom networks

Early Warning Systems (EWS)

IMD's Cyclone Warning System

  • India now provides 3-day track and intensity forecast for cyclones with ~90% accuracy
  • 5-day outlooks also issued
  • Colour-coded warning system: Green → Yellow → Orange → Red (increasing severity)
  • Forecast improvement: India's cyclone forecast error reduced from ~200 km (2000) to <100 km (2022) — among the best in the Asia-Pacific

Indian Tsunami Early Warning Centre (ITEWC)

  • Established by INCOIS (Indian National Centre for Ocean Information Services), Hyderabad, post-2004 tsunami
  • INCOIS is the nodal agency for the Indian Ocean Tsunami Warning System (IOTWS)
  • Issues tsunami warnings within 7–10 minutes of an earthquake using seismological data and tide gauge networks

Common Alerting Protocol (CAP) System — NDMA

  • India's Common Alerting Protocol (CAP)-based Integrated Alert System is one of the world's most advanced
  • Multiple dissemination channels: SMS, Cell Broadcast, Mobile Apps, TV, Radio, Social Media, RSS Feed, Browser Notifications, Satellite
  • India has delivered over 45 billion location-based SMS alerts since system inception
  • NDMA coordinates CAP implementation with telecom operators and state authorities

Cell Broadcast Technology

  • Cell Broadcast sends a single message to all mobile devices within a defined geographical area simultaneously
  • Does not require knowing individual phone numbers — geo-targeted
  • Alert sounds even if phone is on silent
  • NDMA launched Cell Broadcast for disaster alerts; planned for full rollout from 2023 onwards
  • India has implemented Cell Broadcast through TRAI (Telecom Regulatory Authority of India) mandates

Drone Technology (UAVs) in Disaster Management

UAVs (Unmanned Aerial Vehicles) / Drones have transformed disaster operations in India.

Application Details
Search and Rescue Thermal cameras on drones locate survivors under rubble or in flooded areas; crucial when access is impossible on foot
Damage Assessment Rapid post-disaster aerial surveys; photogrammetry for 3D mapping of affected areas
Relief Delivery Deliver medicines, food, blood in cut-off areas (mountain landslides, flood islands)
Communication Relay Tethered UAVs as airborne communication towers in areas with destroyed infrastructure
Flood Monitoring Real-time river level and inundation monitoring during active floods
Crowd Management Monitor evacuation flows, identify bottlenecks

NDRF (National Disaster Response Force) uses drones routinely in operations. India's Drone Rules 2021 (amended 2022) and PLI Scheme for Drones (₹120 crore) boosted domestic drone production, making them more accessible for disaster operations.

Drone Shakti scheme — under Union Budget 2022-23 — aims to enable drone services in agriculture, disaster management, and mapping.

Artificial Intelligence (AI) in Disaster Management

Application How AI Helps
Flood prediction ML models trained on river gauge data, satellite soil moisture, and rainfall forecast data predict flood inundation 48–72 hours ahead (Google FloodHub; IMD-ISRO collaboration)
Earthquake damage AI analyses satellite imagery to map building damage within hours of an earthquake (replacing weeks of manual survey)
Cyclone intensification Deep learning models predict rapid intensification events that challenge traditional numerical models
Landslide risk mapping ML models combining slope, geology, rainfall, and land use data produce probabilistic landslide risk maps
Social media mining NLP tools mine Twitter/X, WhatsApp for crisis reports during disasters; "Digital Humanitarians" concept
Resource optimisation AI-optimised routing of relief supplies to maximise coverage and minimise time

BIRAC + DST support AI-based DM research under the National Mission for Interdisciplinary Cyber-Physical Systems (NM-ICPS).

Google's Flood Forecasting Initiative (FloodHub): In India, Google has deployed AI flood forecasting in partnership with CWRC (Central Water Commission); provides localised flood forecasts up to 7 days ahead for river basin communities.

NDMA Technology Initiatives

Initiative Details
Aapda Mitra Training of 1 lakh community volunteers (scaling up) in 350+ disaster-prone districts; volunteers trained in SAR, first aid, and use of basic DM technology tools
Multi-Hazard Early Warning System (MHEWS) NDMA-led integrated EWS covering cyclones, floods, earthquakes, heat waves, and industrial accidents
BHUVAN portal ISRO's geospatial platform; real-time hazard monitoring layers for all states
National Disaster Management Information System (NDMIS) Integrated database of hazard profiles, resources, trained personnel
Mock drills Annual multi-hazard drills at national and state levels
Sendai Framework monitoring India participates in the Sendai Framework Monitor (SFM) — online tool tracking DRR progress against 38 indicators

Sendai Framework — Technology and Innovation

The Sendai Framework for Disaster Risk Reduction 2015–2030 was adopted at the 3rd UN World Conference on DRR, Sendai, Japan, on 18 March 2015.

Seven Global Targets

Target Description
A Substantially reduce global disaster mortality by 2030
B Substantially reduce affected people globally by 2030
C Reduce direct disaster economic losses relative to GDP
D Substantially reduce disaster damage to critical infrastructure
E Substantially increase number of countries with national/local DRR strategies by 2020
F Substantially enhance international cooperation to developing countries
G Substantially increase availability of multi-hazard early warning systems and disaster risk information by 2030

Technology in Sendai Framework

  • Priority 1 (Understanding Disaster Risk): Emphasises use of science, technology, and data
  • Priority 4 (Enhancing Preparedness): Explicitly calls for investments in EWS and satellite-based DM
  • Sendai Seven Campaign: Promotes specific outcomes including Target G (EWS)
  • The framework promotes open data and technology transfer to developing countries

International Cooperation in DM Technology

Platform Details
UNOOSA (UN Office for Outer Space Affairs) Coordinates space-based disaster response; International Charter on Space and Major Disasters
International Charter: Space and Major Disasters ISRO is a member; provides free satellite data during declared disasters worldwide
Sentinel Asia Asia-Pacific Space Cooperation Organization; ISRO participates; rapid satellite data sharing during Asia-Pacific disasters
Asian Disaster Preparedness Centre (ADPC) Bangkok-based; capacity building for DM tech in Asia
SERVIR (NASA-USAID) Satellite earth observation for environmental DM decisions — India provides technical support to SERVIR hubs in neighbouring countries
India-ASEAN DM cooperation Annual ASEAN Regional Forum (ARF) DM exercises; disaster monitoring data sharing with ASEAN

Climate Projections and Long-Term Disaster Risk Planning

CMIP6 (Coupled Model Intercomparison Project Phase 6):

  • Latest generation of global climate models coordinated under WCRP (World Climate Research Programme)
  • CMIP6 models project: increased frequency and intensity of extreme precipitation events over India; more intense cyclones in Arabian Sea; accelerated sea-level rise (1.5–3 m by 2100 under high-emissions scenario)
  • India's IITM (Indian Institute of Tropical Meteorology), Pune contributes to CMIP6 through the IITM-ESM model
  • These projections are used by NDMA and state governments for long-term DRR planning (NDMP 2019–2030)

National Disaster Management Plan (NDMP) 2019–2030: Aligns with Sendai Framework; incorporates climate projections for future risk planning; focuses on building resilience through technology and institutional reform.

Previous Year Questions (PYQs)

Prelims

  1. With reference to the Sendai Framework for Disaster Risk Reduction 2015-2030, which of the following is correct? (a) It was adopted at the 2nd UN World Conference on DRR held in Tokyo (b) It has 7 global targets and 4 priorities for action (c) India has not submitted any voluntary progress reports under this framework (d) It applies only to natural disasters, not technological disasters (UPSC CSP 2018 — adapted)

  2. The term "SAR (Synthetic Aperture Radar)" is sometimes seen in the context of: (a) Space-based missile early warning systems (b) Satellite-based all-weather earth observation and disaster monitoring (c) Submarine detection in Indian Ocean (d) Nuclear test detection (UPSC CSP 2020 — adapted)

  3. NavIC (Navigation with Indian Constellation) is useful in disaster management because: (a) It can trigger nuclear shelter activation (b) It provides GPS-independent navigation and can transmit disaster alert text messages (c) It monitors seismic activity in real-time (d) It replaces INSAT satellites for weather forecasting (UPSC CSP 2021 — adapted)

  4. Which of the following pairs is correctly matched? (a) NRSC — National Rocket Space Centre, Sriharikota (b) INCOIS — Indian Tsunami Early Warning Centre, Hyderabad (c) BHUVAN — NDMA's nationwide relief coordination portal (d) Aapda Mitra — Satellite distress signal programme for fishermen (UPSC CSP 2022 — adapted)

Mains

  1. "Space technology has transformed India's capacity to manage natural disasters." Examine with specific reference to ISRO's satellite systems and early warning mechanisms. (UPSC GS3 2019)

  2. Discuss the role of Artificial Intelligence and drones in improving disaster preparedness and response in India. What are the limitations and ethical concerns associated with their deployment? (UPSC GS3 2022)

  3. The Sendai Framework for Disaster Risk Reduction (2015–2030) lays great emphasis on technology and innovation. How is India aligning its disaster management framework with the Sendai targets? (UPSC GS3 2020)

Exam Strategy

For Prelims:

  • NRSC headquarters: Hyderabad (Earth Station at Shadnagar)
  • RISAT uses SAR — all-weather, day/night imaging; key for flood and cyclone response
  • INSAT-3D/3DR: meteorological satellites; IMD uses for cyclone tracking and weather forecasting
  • NavIC: 7 satellites; India's own navigation system; can transmit DM text alerts
  • Sendai Framework: adopted 18 March 2015, Sendai, Japan; 4 priorities + 7 targets
  • Target G of Sendai = Multi-hazard Early Warning Systems for all by 2030
  • INCOIS = Indian National Centre for Ocean Information Services; nodal for Tsunami Warning (IOTWS)
  • CAP = Common Alerting Protocol; NDMA leads; 45 billion+ SMS alerts sent
  • Cell Broadcast = geo-targeted alerts to all phones in an area; works on silent mode

For Mains:

  • Structure DM-technology answers across the DRR cycle: prevention → preparedness → response → recovery
  • Always cite specific satellites (RISAT-2B for SAR, INSAT-3D for cyclones, Cartosat-3 for damage assessment)
  • Sendai Framework target linkages: EWS = Target G; Science and Tech = Priority 1; these make technology a core Sendai element
  • AI flooding forecasting (Google FloodHub + CWC partnership) is a current example of private-public tech collaboration
  • International data sharing (International Charter; Sentinel Asia) shows India's leadership in global DM
  • Climate projections (CMIP6) linkage shows how long-term disaster risk planning uses science — a sophisticated answer point
  • Drone Shakti + PLI for drones = policy enabling domestic DM technology ecosystem — link to Atmanirbhar Bharat