Cyclone Biparjoy – Vasundharaa

Cyclone Biparjoy: A GIS-Powered Approach to Disaster Management and Recovery

In June 2024, Cyclone Biparjoy made landfall in Gujarat, bringing wind speeds exceeding 125 km/h and relentless rains that inundated vast areas, including Kutch and Saurashtra. With over 150,000 people evacuated and thousands of homes and farms destroyed, it was one of the most devastating cyclones to strike the Indian subcontinent in recent years. Amid the destruction, Geographic Information Systems (GIS) emerged as a lifeline, enabling efficient disaster management and laying the groundwork for a swift recovery. This blog examines how GIS technology played a critical role in saving lives, managing resources, and rebuilding affected regions. Amid the devastation brought by Cyclone Biparjoy, relentless rainfall compounded the challenges faced by Gujarat’s residents. Torrential downpours triggered widespread flooding, especially in Kutch and Saurashtra, where many areas received over 300 mm of rain in a single day. Rivers breached their banks, inundating villages and farmlands and rendering roads impassable.

GIS technology played a crucial role in mitigating the impact of these extreme precipitation events. Real-time rainfall data from satellites integrated with GIS flood models helped authorities identify high-risk areas and deploy resources effectively. By mapping precipitation patterns against population and infrastructure layers, critical decisions were made to safeguard lives and minimize damage during the storm’s peak.

GIS in Pre-Cyclone Preparedness

Before the cyclone hit, GIS tools were essential for creating detailed vulnerability maps. Historical cyclone paths, flood-prone areas, and elevation models were analyzed to generate risk zones. Gujarat’s coastal districts, such as Devbhoomi Dwarka and Jamnagar, were identified as high-risk areas, prompting the preemptive evacuation of over 150,000 people. Vulnerability map showcasing coastal Gujarat with zones categorized by risk levels.

Orange alert was issued based on the predicted trajectory of Cyclone Biparjoy.

GIS also facilitated efficient evacuation planning by integrating population density and road network data. Safe shelters were identified, and evacuation routes were optimized to minimize travel time while avoiding congested areas. This systematic approach reduced chaos and ensured timely relocation of residents, proving that preparation backed by geospatial intelligence can save lives.

Real-Time Monitoring During the Cyclone

As Cyclone Biparjoy approached Gujarat, GIS systems integrated data from satellites, Doppler weather radars, and IoT-based ground sensors. This provided real-time insights into the cyclone’s trajectory, wind speed, and rainfall intensity. The cyclone’s path was updated continuously, allowing authorities to issue precise warnings and alerts.

Detection of flood water in near real time through satellite image. Source Sentinel Asia

The integration of GIS with early warning systems gave communities ample time to prepare, reducing casualties. For instance, warnings about heavy rainfall in Morbi district led to the timely reinforcement of dams and embankments, preventing catastrophic floods in downstream areas.

Post-Cyclone Damage Assessment with GIS

Once the storm subsided, GIS tools became indispensable for assessing the extent of the damage. High-resolution satellite imagery and drone surveys revealed that over 1.2 million hectares of agricultural land were submerged, and nearly 10,000 homes were either destroyed or severely damaged.

GIS-based damage assessments provided a comprehensive understanding of affected areas. Layers of data, such as inundation zones, damaged infrastructure, and population density, were overlaid to prioritize relief efforts. For example, GIS maps helped locate the most severely affected villages and ensured that relief supplies were dispatched to these areas first.

GIS in Coordinating Relief Efforts

Relief operations during Cyclone Biparjoy highlighted the importance of GIS in resource allocation and logistics. Road closures caused by flooding were mapped in real time, allowing authorities to identify alternative routes for transporting aid. This ensured uninterrupted delivery of essential supplies to affected communities. In Kachchh, GIS dashboards enabled local authorities to monitor the distribution of relief materials such as food, water, and medical supplies. This level of coordination minimized duplication of efforts and ensured that all affected areas received adequate support.

Assessing Environmental Impact Using GIS

The widespread flooding caused by Cyclone Biparjoy was the result of its prolonged heavy rainfall combined with its slow-moving nature, which allowed intense precipitation to accumulate over Gujarat, Rajasthan, and Madhya Pradesh. As the cyclone moved inland, it disrupted the natural drainage systems, leading to water pooling in low-lying areas such as wildlife sanctuaries, agricultural fields, and urban regions. These floods displaced tens of thousands of people, submerged homes, and caused extensive damage to infrastructure and ecosystems. India Today, Earth Observatory.

Coastal regions, already weakened by erosion and mangrove destruction due to storm surges, faced amplified vulnerability to inland flooding. The loss of mangrove forests—nature’s protective buffer against such surges—contributed to higher flood risks in adjacent areas. The pooling of water in locations like the Great Rann of Kutch further highlighted how geomorphological characteristics played a role in the flooding intensity. Earth Observatory
By incorporating GIS and remote sensing, scientists mapped the most affected flood zones and analyzed patterns of water accumulation. These tools are crucial in visualizing flood extents and providing actionable insights for planning disaster relief and ecological restoration efforts.

In addition, GIS was used to monitor the health of water bodies that were contaminated by the cyclone’s flooding. This information was essential for planning water quality restoration efforts and mitigating the outbreak of waterborne diseases.

Why GIS is the Future of Disaster Management

Cyclone Biparjoy showcased the unmatched value of GIS in disaster management. From pre- cyclone risk mapping to post-cyclone recovery, GIS ensured informed decision-making at every stage. It streamlined evacuation processes, optimized resource allocation, and provided actionable insights for rebuilding efforts.
As climate change increases the frequency and intensity of cyclones, investing in GIS infrastructure and training will be critical. Advanced technologies like machine learning, when integrated with GIS, can enhance predictive capabilities and improve disaster resilience.

A Call to Action: Harnessing GIS for a Resilient Future

The story of Cyclone Biparjoy was a powerful testament to the strength of human resilience and the transformative role of technology in times of crisis. As the cyclone tore through Gujarat, it brought devastation to countless lives and livelihoods. Yet, amid this adversity, GIS technology emerged as a critical enabler of survival, coordination, and recovery, showing us the path toward a safer and more resilient future. GIS technology proved to be an indispensable tool in disaster response. From tracking real- time precipitation patterns to mapping flood-prone areas and prioritizing rescue efforts, GIS ensured that resources were allocated efficiently and critical decisions were made with precision. Its application during Cyclone Biparjoy extended beyond immediate disaster response to address longer-term recovery and rebuilding efforts.