BharatNotes 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
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)
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)
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)
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
"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)
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)
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)
Recent Developments (2024–2026)
ISRO EOS-08 Launch — Disaster Management Payload (August 2024)
ISRO successfully launched the EOS-08 (Earth Observation Satellite-08) on 16 August 2024 using the SSLV (Small Satellite Launch Vehicle). EOS-08 carries three payloads with direct disaster management relevance: EOIR (Electro Optical Infrared Radiometer) for thermal imaging and forest fire/wildfire detection; Global Navigation Satellite System-Reflectometry (GNSS-R) for soil moisture and flood inundation mapping; and SiC UV Dosimeter for UV monitoring. The satellite supports ISRO's Disaster Management Support (DMS) programme.
In October 2024, ISRO's EOS-06 (Oceansat-3) and geostationary INSAT-3DR were used to track Cyclone Dana — providing real-time data on cyclone track, intensity, and storm surge prediction to the IMD. ISRO's Cartosat series provides high-resolution post-disaster damage mapping. In 2024, ISRO provided near-real-time flood maps for 16 states during the monsoon season using SAR (Synthetic Aperture Radar) data from RISAT-1A.
UPSC angle: Prelims — EOS-08: launched 16 August 2024; EOIR + GNSS-R + UV payloads; ISRO DMS programme; RISAT-1A SAR for flood mapping. Mains (GS3) — ISRO dual-use capacity in disaster management; space-based early warning for floods/cyclones; NISAR mission (NASA-ISRO).
NISAR (NASA-ISRO SAR) — Disaster Management Applications (2025 Launch)
The NISAR (NASA-ISRO Synthetic Aperture Radar) satellite — a joint mission launched in March 2025 — is the world's most advanced SAR satellite, combining L-band (ISRO) and S-band (NASA) radar. NISAR scans the entire Earth every 12 days, providing unprecedented data for: landslide risk mapping; subsidence monitoring in cities built on soft soils (Chennai, Mumbai, Kolkata); glacier velocity and glacial lake dynamics monitoring; crop area estimation; and flood inundation mapping.
For disaster management, NISAR's repeat-cycle monitoring enables proactive identification of landslide precursors (slow slope movement before failure) — potentially revolutionising landslide early warning in the Himalayas and Western Ghats. Its utility for monitoring 188 high-risk glacial lakes (identified by NRSC post-Sikkim GLOF) is particularly significant. NISAR's open data policy means all data will be freely available to national disaster management agencies.
UPSC angle: Prelims — NISAR: NASA-ISRO joint mission; L-band + S-band SAR; launched March 2025; 12-day global repeat scan. Mains (GS3) — NISAR's DM applications; Himalayan slope monitoring; science-governance bridge for disaster prevention; ISRO's global space cooperation.
AI and Drones in Disaster Management — India's 2024 Progress
India made significant progress in deploying drones and AI for disaster management in 2024. During the Wayanad landslide response, NDRF deployed 12 search drones — including thermal imaging drones — to locate survivors under debris. Odisha used drones for Cyclone Dana damage assessment — generating district-wise damage maps within 36 hours of landfall, enabling targeted relief deployment.
NDMA's National Disaster Management Informatics Division is developing an AI-based "Disaster Risk Prediction Model" using historical disaster data, climate projections, land-use change, and demographic data to generate multi-hazard risk forecasts at district level. A pilot AI model for flood inundation prediction in the Brahmaputra basin (IIIT-Hyderabad + IIT Bombay collaboration, funded by MoES) was deployed in the 2024 monsoon season, providing 48-hour inundation forecasts for Assam districts.
UPSC angle: Prelims — NDMA drones for DM; AI flood prediction; Brahmaputra flood forecast model. Mains (GS3) — AI and drones in disaster response; data governance for AI-based DM; equity in technology-driven early warning (who benefits, who is excluded).
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
