UPSC MainsGEOGRAPHY-PAPER-II202310 Marks
Q13.

Examine the role of Indian Earth Observation Satellite Technology in enhancing weather forecasting and disaster management.

How to Approach

This question requires a detailed examination of India’s Earth Observation Satellite (EOS) technology and its impact on weather forecasting and disaster management. The answer should begin by defining Earth Observation Satellites and their capabilities. Then, it should detail specific Indian EOS missions (INSAT, IRS, Oceansat, etc.) and how their data is utilized for weather prediction (IMD) and disaster mitigation (NDMA). Illustrate with examples of successful disaster responses aided by EOS data. Structure the answer into introduction, body (covering weather forecasting and disaster management separately), and conclusion.

Model Answer

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Introduction

Earth Observation Satellites (EOS) are satellites equipped with remote sensing instruments that gather information about the Earth’s surface, atmosphere, and oceans. This data is crucial for understanding and monitoring various environmental phenomena. India has emerged as a significant player in EOS technology, developing a comprehensive suite of satellites that contribute significantly to weather forecasting and disaster management. The launch of the latest EOS-04 in February 2022, demonstrates India’s continued commitment to strengthening its space-based assets for societal benefit. These satellites provide critical data for accurate predictions and timely responses, minimizing the impact of natural calamities and improving overall preparedness.

Indian Earth Observation Satellite Technology: A Comprehensive Overview

India’s EOS program is spearheaded by the Indian Space Research Organisation (ISRO). The program comprises a diverse range of satellites designed for various applications. Key series include:

  • INSAT series: Geostationary satellites providing continuous monitoring of weather patterns, cloud cover, and sea surface temperatures.
  • IRS series: Sun-synchronous polar orbiting satellites offering high-resolution imagery for land, water, and vegetation monitoring.
  • Oceansat series: Dedicated to oceanographic studies, providing data on ocean currents, sea surface height, and chlorophyll concentration.
  • Resourcesat series: Focused on resource management, providing data for agriculture, forestry, and urban planning.
  • Cartosat series: High-resolution imaging satellites used for mapping and strategic applications.

Enhancing Weather Forecasting

Indian Earth Observation Satellites play a pivotal role in enhancing weather forecasting capabilities. The India Meteorological Department (IMD) extensively utilizes data from INSAT series satellites like INSAT-3D and INSAT-36 for:

  • Monitoring Tropical Cyclones: Real-time tracking of cyclone formation, intensity, and movement over the Bay of Bengal and the Arabian Sea. Data from INSAT-3D’s imager and sounder helps in accurate cyclone prediction.
  • Rainfall Estimation: Estimating rainfall intensity and distribution, crucial for predicting floods and droughts.
  • Monitoring Monsoon Progress: Tracking the onset, progression, and intensity of the Indian monsoon, vital for agricultural planning.
  • Nowcasting: Providing short-range forecasts (0-6 hours) of localized weather events like thunderstorms and heavy rainfall.

The integration of EOS data with numerical weather prediction models has significantly improved the accuracy of weather forecasts, leading to better preparedness and reduced losses.

Disaster Management Applications

EOS technology is indispensable for effective disaster management in India, which is highly vulnerable to natural disasters. The National Disaster Management Authority (NDMA) leverages EOS data for various stages of disaster management:

  • Pre-Disaster Risk Assessment: IRS series satellites provide data for identifying vulnerable areas prone to floods, landslides, and droughts. High-resolution imagery helps in creating hazard maps.
  • Early Warning Systems: EOS data is used to develop and operate early warning systems for cyclones, floods, and tsunamis.
  • During-Disaster Monitoring: Real-time imagery from EOS satellites provides situational awareness during disasters, helping in coordinating rescue and relief operations. For example, Cartosat data is used to assess damage to infrastructure.
  • Post-Disaster Damage Assessment: EOS data is used to assess the extent of damage caused by disasters, facilitating efficient allocation of resources for rehabilitation and reconstruction.

Specific Disaster Applications:

Disaster Type EOS Data Used Application
Floods IRS, Resourcesat, Cartosat Flood inundation mapping, damage assessment, monitoring water levels
Cyclones INSAT series Cyclone tracking, intensity estimation, storm surge prediction
Landslides IRS, Cartosat Landslide susceptibility mapping, monitoring slope stability
Droughts Resourcesat Vegetation health monitoring, drought assessment, water resource mapping

The launch of dedicated disaster management satellites like Oceansat-3, with its advanced scatterometer, further enhances the ability to monitor and predict ocean-related disasters.

Conclusion

Indian Earth Observation Satellite technology has revolutionized weather forecasting and disaster management, significantly enhancing India’s resilience to natural calamities. Continued investment in EOS development, coupled with improved data dissemination and integration with ground-based systems, is crucial for further strengthening these capabilities. Future advancements should focus on developing higher-resolution sensors, improving data processing algorithms, and fostering collaboration between ISRO, IMD, NDMA, and other stakeholders to maximize the societal benefits of this technology. The integration of Artificial Intelligence and Machine Learning with EOS data will further refine predictive models and enable proactive disaster mitigation strategies.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

Remote Sensing
The acquisition of information about an object or area without making physical contact with it. This is typically done using sensors that detect electromagnetic radiation reflected or emitted from the Earth's surface.
Geostationary Orbit
An orbit in which a satellite orbits the Earth at the same rate as the Earth rotates, appearing stationary from a point on the Earth’s surface. This is ideal for continuous monitoring of weather patterns.

Key Statistics

India has lost over $38 billion to natural disasters between 1990 and 2020 (Source: World Bank, 2021).

Source: World Bank Report, 2021

India’s expenditure on disaster management has increased by over 300% in the last decade (as of 2023, based on budgetary allocations).

Source: Government of India Budget Documents (Knowledge Cutoff: Dec 2023)

Examples

Cyclone Fani (2019)

Data from INSAT-3D and other EOS satellites played a crucial role in accurately predicting the path and intensity of Cyclone Fani, allowing for the timely evacuation of over 1.2 million people from coastal areas of Odisha, significantly reducing casualties.

Frequently Asked Questions

What are the limitations of relying solely on EOS data for disaster management?

EOS data provides valuable information, but it has limitations. Cloud cover can obstruct imagery, and data processing can be time-consuming. Effective disaster management requires integrating EOS data with ground-based observations, meteorological data, and socio-economic vulnerability assessments.

Topics Covered

Science & TechnologyGeographyRemote SensingDisaster ManagementMeteorology