UPSC MainsZOOLOGY-PAPER-I201212 Marks150 Words
Q16.

What are the merits of remote sensing in sustainable development? Give examples.

How to Approach

This question requires a discussion of the advantages of remote sensing technologies in promoting sustainable development. The answer should define remote sensing, outline its various applications relevant to sustainability (environmental monitoring, resource management, disaster management, urban planning), and provide concrete examples. A structured approach focusing on different sectors benefiting from remote sensing will be effective. The answer should be concise, within the word limit, and demonstrate an understanding of the interplay between technology and sustainable practices.

Model Answer

0 min read

Introduction

Remote sensing, the acquisition of information about an object or area without physical contact, has emerged as a crucial tool for sustainable development. Utilizing technologies like satellites and aerial sensors, it provides a synoptic view of Earth’s resources and environmental conditions. Traditionally, data collection for environmental monitoring and resource assessment was time-consuming and expensive. Remote sensing offers a cost-effective, efficient, and spatially comprehensive alternative, enabling informed decision-making for a sustainable future. Its applications span across diverse sectors, contributing significantly to achieving the Sustainable Development Goals (SDGs) adopted by the United Nations in 2015.

Merits of Remote Sensing in Sustainable Development

Remote sensing offers several advantages in promoting sustainable development, categorized as follows:

1. Environmental Monitoring & Conservation

  • Forest Cover Mapping: Remote sensing data (e.g., Landsat, Sentinel) helps monitor deforestation, forest degradation, and biodiversity loss, aiding in conservation efforts. For example, the Forest Carbon Partnership Facility (FCPF) utilizes remote sensing to monitor carbon stocks in tropical forests.
  • Water Quality Assessment: Sensors can detect pollutants, algal blooms, and sedimentation in water bodies, enabling timely intervention and management.
  • Glacier Monitoring: Tracking glacial retreat and snow cover changes using satellite imagery provides crucial data for understanding climate change impacts and managing water resources.

2. Resource Management

  • Agricultural Monitoring: Remote sensing aids in crop health assessment, yield prediction, and precision agriculture, optimizing resource use (water, fertilizers) and enhancing food security. NDVI (Normalized Difference Vegetation Index) is a commonly used metric.
  • Mineral Exploration: Identifying potential mineral deposits through spectral analysis of surface features reduces the environmental impact of traditional exploration methods.
  • Land Use/Land Cover Mapping: Monitoring changes in land use patterns helps in urban planning, preventing encroachment on ecologically sensitive areas, and promoting sustainable land management.

3. Disaster Management

  • Flood Mapping: Rapid assessment of flood extent and damage using radar imagery (e.g., Sentinel-1) facilitates effective rescue and relief operations.
  • Earthquake Damage Assessment: Identifying areas of structural damage post-earthquake aids in prioritizing aid delivery and reconstruction efforts.
  • Wildfire Monitoring: Detecting and tracking wildfires in real-time allows for timely suppression and minimizes environmental damage.

4. Urban Planning & Infrastructure Development

  • Urban Sprawl Analysis: Monitoring urban growth patterns helps in planning sustainable infrastructure and managing urban resources.
  • Infrastructure Monitoring: Assessing the condition of roads, bridges, and pipelines using remote sensing data ensures safety and efficient maintenance.
Sector Remote Sensing Application Sustainability Benefit
Agriculture Crop Health Monitoring Reduced fertilizer use, increased yield
Forestry Deforestation Monitoring Biodiversity conservation, carbon sequestration
Disaster Management Flood Mapping Reduced loss of life and property

Conclusion

Remote sensing is an indispensable tool for achieving sustainable development goals. Its ability to provide timely, accurate, and spatially comprehensive data empowers policymakers and stakeholders to make informed decisions regarding resource management, environmental protection, and disaster preparedness. Continued advancements in remote sensing technologies, coupled with increased data accessibility and analytical capabilities, will further enhance its contribution to a more sustainable and resilient future. Investing in remote sensing infrastructure and capacity building is crucial for harnessing its full potential.

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

Geospatial Technology
An umbrella term encompassing remote sensing, Geographic Information Systems (GIS), Global Positioning Systems (GPS), and related technologies used for acquiring, analyzing, and managing geographically referenced data.
NDVI (Normalized Difference Vegetation Index)
A simple numerical indicator that can be used to analyze remote sensing measurements, and is commonly used to estimate the health and greenness of vegetation.

Key Statistics

The global Earth Observation (EO) market was valued at USD 14.24 billion in 2023 and is projected to reach USD 28.87 billion by 2032, growing at a CAGR of 8.3% from 2024 to 2032.

Source: Verified Market Research, 2024 (Knowledge Cutoff: April 2024)

India has launched over 17 remote sensing satellites, making it one of the leading countries in remote sensing technology.

Source: Indian Space Research Organisation (ISRO) - Knowledge Cutoff: April 2024

Examples

Amazon Rainforest Monitoring

The Brazilian National Institute for Space Research (INPE) uses satellite imagery from Landsat and Sentinel to monitor deforestation in the Amazon rainforest, providing crucial data for enforcement actions against illegal logging and land clearing.

Frequently Asked Questions

What are the limitations of remote sensing?

Limitations include cloud cover obstructing imagery, the cost of high-resolution data, the need for ground truthing to validate data, and the complexity of data analysis requiring specialized expertise.