UPSC MainsGEOLOGY-PAPER-I202010 Marks150 Words
Q2.

Discuss various fields in which IRS data can be used for the development work and management of resources.

How to Approach

This question requires a discussion of the applications of IRS (Indian Remote Sensing) data in development and resource management. The answer should begin by defining IRS data and its characteristics. Then, it should systematically cover various fields like agriculture, forestry, water resources, urban planning, disaster management, and geology, explaining how IRS data is utilized in each. Specific examples and technologies (e.g., NDVI, GIS) should be included. A structured approach using headings and subheadings will enhance clarity.

Model Answer

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Introduction

Indian Remote Sensing (IRS) satellites, launched and operated by the Indian Space Research Organisation (ISRO), provide a wealth of data crucial for understanding and managing Earth’s resources. IRS data, encompassing a range of spatial, spectral, and temporal resolutions, has become indispensable for various developmental activities. These satellites utilize different sensors to capture information about the Earth’s surface, which is then processed and analyzed to generate valuable insights. The data’s accessibility and cost-effectiveness have made it a preferred choice for resource monitoring and planning across diverse sectors in India and globally.

Applications of IRS Data in Development and Resource Management

1. Agriculture

IRS data plays a vital role in precision agriculture. Normalized Difference Vegetation Index (NDVI), derived from IRS data, helps assess vegetation health and biomass. This information is used for:

  • Crop acreage estimation and yield prediction.
  • Monitoring crop stress due to drought, pests, or diseases.
  • Irrigation management and water use efficiency.
  • Land use/land cover mapping for agricultural planning.
For example, the Mahalanobis National Crop Forecast Centre (MNCFC) utilizes IRS data alongside other sources for crop production forecasting.

2. Forestry

IRS data is extensively used for forest monitoring and management:

  • Forest cover mapping and change detection.
  • Assessment of forest biomass and carbon stock.
  • Monitoring deforestation and illegal logging.
  • Identification of forest fire hotspots.
The Forest Survey of India (FSI) regularly publishes the India State of Forest Report (ISFR), heavily reliant on IRS data for assessing forest cover changes.

3. Water Resources

IRS data provides crucial information for water resource management:

  • Mapping and monitoring of surface water bodies (rivers, lakes, reservoirs).
  • Groundwater prospecting through geological feature identification.
  • Snow cover mapping for glacial meltwater assessment.
  • Flood inundation mapping and flood plain zoning.
The Central Water Commission (CWC) utilizes IRS data for hydrological modeling and water resource planning.

4. Urban Planning

IRS data aids in urban development and infrastructure planning:

  • Urban sprawl mapping and monitoring.
  • Land use/land cover classification for urban planning.
  • Identification of suitable sites for infrastructure development.
  • Monitoring of urban environmental conditions (e.g., air pollution, water quality).
GIS (Geographic Information System) integrated with IRS data is used for creating detailed urban maps and models.

5. Disaster Management

IRS data is critical for disaster preparedness, mitigation, and response:

  • Flood mapping and damage assessment.
  • Landslide hazard zonation.
  • Earthquake damage assessment.
  • Monitoring of cyclone tracks and storm surges.
National Disaster Management Authority (NDMA) utilizes IRS data for real-time monitoring and damage assessment during disasters.

6. Geology

IRS data assists in geological studies and resource exploration:

  • Geological mapping and structural analysis.
  • Identification of potential mineral deposits.
  • Groundwater exploration.
  • Monitoring of geological hazards (e.g., landslides, earthquakes).
The Geological Survey of India (GSI) uses IRS data for mapping geological formations and identifying potential mineral resources.

Sector IRS Data Used Application
Agriculture NDVI, LISS-III, RISAT-2 Crop monitoring, yield prediction
Forestry LISS-IV, Cartosat-1 Forest cover mapping, deforestation monitoring
Water Resources IRS-P6, Resourcesat-2 Surface water mapping, flood monitoring

Conclusion

IRS data has revolutionized resource management and development planning in India. Its multi-spectral and multi-temporal capabilities provide a comprehensive understanding of Earth’s resources, enabling informed decision-making. Continued advancements in sensor technology and data processing techniques will further enhance the utility of IRS data. Integrating IRS data with other geospatial technologies like GIS and GPS will be crucial for sustainable development and effective resource management in the future. Investing in data dissemination and capacity building will maximize the benefits of this valuable resource.

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

NDVI
Normalized Difference Vegetation Index is a simple but effective index used to determine the amount of vegetation in an image. It is calculated from the visible (red) and near-infrared (NIR) wavelengths of light reflected by plants.
GIS
Geographic Information System (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical data.

Key Statistics

India has over 50 years of continuous remote sensing data from IRS satellites, providing a rich archive for long-term monitoring of environmental changes.

Source: ISRO website (as of knowledge cutoff)

ISRO has launched over 14 IRS series satellites as of 2023, providing a wide range of data for various applications.

Source: ISRO Annual Report (as of knowledge cutoff)

Examples

Flood Mapping in Bihar

During the 2008 Bihar floods, IRS data was used to rapidly map the extent of inundation, helping rescue and relief operations. The data provided critical information on the areas affected and the population at risk.

Frequently Asked Questions

What is the difference between spatial, spectral, and temporal resolution in remote sensing?

Spatial resolution refers to the size of the smallest feature that can be distinguished in an image. Spectral resolution refers to the number and width of spectral bands used to capture data. Temporal resolution refers to the frequency with which data is collected over the same area.