Question map
In which of the following activities are Indian Remote Sensing (IRS) satellites used? 1. Assessment of crop productivity 2. Locating groundwater resources 3. Mineral exploration 4. Telecommunications 5. Traffic studies Select the correct answer using the code given below.
Explanation
Indian satellite systems can be grouped into two categories: Indian National Satellite System (INSAT) and Indian Remote Sensing Satellite System (IRS)[1]. The INSAT system is designed for telecommunications, meteorological observation and various other data and programmes[1], while IRS satellites collect data in several spectral bands and are very useful in the management of natural resources[2].
Indian Remote Sensing (IRS) satellites are specifically used in assessment of crop productivity, locating groundwater resources, and mineral[4] exploration. Additionally, remote sensing and satellite imageries can be useful in identifying possible river-basins and identifying ground water potential[6]. Satellites like the IRS have played an important role, through infrared photographs, in locating geothermal areas[7].
Telecommunications is a function of the INSAT system, not IRS satellites. Traffic studies are not mentioned as an application of IRS satellites in the provided documents. Therefore, only activities 1, 2, and 3 are correct applications of IRS satellites, making option A the correct answer.
Sources- [1] INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 7: Transport and Communication > Satellite Communication > p. 84
- [2] INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 7: Transport and Communication > Satellite Communication > p. 84
- [5] INDIA PHYSICAL ENVIRONMENT, Geography Class XI (NCERT 2025 ed.) > Chapter 6: Natural Hazards and Disasters > Consequences of Drought > p. 66
- [6] INDIA PHYSICAL ENVIRONMENT, Geography Class XI (NCERT 2025 ed.) > Chapter 6: Natural Hazards and Disasters > Consequences of Drought > p. 66
- [7] Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 22: Renewable Energy > Recent Developments: > p. 295
PROVENANCE & STUDY PATTERN
Full viewThis is a classic 'Definition & Application' question. It tests if you understand the fundamental binary of India's space program: IRS (Earth Observation/Cameras) vs. INSAT (Communication/Transponders). The answer lies directly in NCERT Geography Class XII, which explicitly separates these two systems.
This question can be broken into the following sub-statements. Tap a statement sentence to jump into its detailed analysis.
- Statement 1: Are Indian Remote Sensing (IRS) satellites used for assessment of crop productivity
- Statement 2: Are Indian Remote Sensing (IRS) satellites used for locating groundwater resources
- Statement 3: Are Indian Remote Sensing (IRS) satellites used for mineral exploration
- Statement 4: Are Indian Remote Sensing (IRS) satellites used for telecommunications
- Statement 5: Are Indian Remote Sensing (IRS) satellites used for traffic studies
- Explicitly names the Indian Remote Sensing Satellite System (IRS) as a dedicated remote sensing satellite system in India.
- States that satellite images provide a continuous, synoptic view useful for applications like weather forecasting and monitoring large areas β capability required for crop monitoring and assessment.
- Notes that the National Remote Sensing Agency (NRSA) used remote sensing to divide India into 15 agro-climatic regions for agricultural planning.
- Lists agricultural objectives of these remote-sensing-driven regions (optimise production, increase farm income, judicious use of irrigation) which imply use of remote sensing for crop-related assessment and planning.
- States remote sensing and satellite imageries are useful for identifying groundwater potential, river basins and in drought-mitigation planning β activities closely linked to sustaining crop productivity.
- Shows satellite data is applied to practical agricultural/environmental assessments that affect crop outcomes.
- Specifically names IRS-1C digital enhancement studies that identified subsurface features and palaeochannels beneath sands.
- Detecting palaeochannels and subsurface features is directly relevant to locating potential groundwater-bearing formations.
- Explicitly states remote sensing and satellite imageries can be useful in identifying ground water potential.
- Links satellite-based identification of groundwater potential to planning measures (e.g., inter-linking rivers, aquifers).
- Describes the IRS satellite system collecting multispectral data for natural resource management.
- Notes NRSC processes IRS data for various uses, implying operational support for resource applications including groundwater studies.
- Explicitly recommends use of ISRO remote sensing data for deciding 'where to mine and where to prohibit mining'.
- Connects remote sensing outputs with district-level mining surveys and ground-truthing for sustainable mining decisions.
- States that satellites like the IRS have played an important role via infrared photographs in locating geothermal areas.
- Demonstrates a direct application of IRS data in exploring energy/mineral-related resources (geothermal).
- Describes digital enhancement of IRS-1C data to identify subsurface features (palaeochannels) beneath desert sands.
- Shows IRS capability to reveal concealed geological/subsurface features relevant to prospecting and exploration.
- Explicitly lists IRS uses in crop assessment, groundwater locating and mineral explorationβapplications of remote sensing, not telecommunications.
- Shows IRS are used for Earth-observation resource and environmental applications rather than communication services.
- Defines IRS as a series of Earth observation satellites built and maintained by ISRO, indicating their remote-sensing role.
- States IRS provides remote sensing services and is a large constellation for Earth observation, not telecom.
- Describes IRS spacecraft and payloads designed to acquire imagery (e.g., stereoscopic imageries), confirming imaging/remote-sensing function.
- Details cameras and sensors onboard IRS for imaging, which are remote sensing instruments rather than telecommunication payloads.
Explicitly groups Indian satellite systems into INSAT (multi-purpose for telecommunication, meteorology, etc.) and IRS (Indian Remote Sensing Satellite System), implying different primary functions.
A student could use the rule that INSAT = telecom while IRS = remote sensing and check whether IRS satellites are listed among telecom satellites (INSAT/GSAT) on an external satellite catalog or agency website.
Describes satellites like 'IRS-r' being used for infrared photographs to locate geothermal areas, showing a clear remoteβsensing application for IRS-series satellites.
Combine this example of imaging use with knowledge that telecom satellites carry transponders, then verify whether IRS specifications list imaging sensors versus communication transponders.
States that the Cartosat series (an ISRO imaging/mapping family) capture highβquality Earth images for maps and planning, reinforcing that some Indian satellites are optimized for Earth observation.
A student can contrast Cartosat/IRS mission descriptions (imaging) with INSAT/GSAT mission descriptions (communications) from ISRO to assess whether IRS are intended for telecom.
Timeline notes separate launches for IRS (first IRS-1A in 1988) and INSAT launches earlier and afterwards, indicating distinct satellite series and purposes in India's space program.
Use the historical separation of IRS and INSAT series to check external lists/catalogs that classify satellites by series and function (remote sensing vs. telecom).
Explains how satellites are used for telecommunications (cell phones, TV, internet), providing the general function that telecom satellites perform.
A student can use this general definition of telecom satellites to compare against IRS mission descriptions; if IRS missions describe imaging/remote sensing rather than providing telecom services, it supports the distinction.
- Explicitly lists primary applications of IRS satellites (agriculture, groundwater, minerals) without mentioning traffic studies.
- Shows IRS usage is focused on natural resource assessment rather than transport/traffic monitoring in this source.
- Describes IRS optical data being used to monitor and map flood inundation for disaster management β an Earth-observation application, not traffic.
- Reinforces that IRS applications cited are environmental/disaster related, with no reference to traffic studies.
- Details IRS sensors and their use for agricultural management and monitoring, indicating primary users and applications.
- Again demonstrates common IRS applications (agriculture) with no mention of traffic-related uses.
Describes IRS as a system for remote sensing and states satellite images give a continuous, synoptic view of large areas for monitoring (weather, calamities, surveillance).
A student could infer that a synoptic, large-area imaging capability can be repurposed to observe urban road networks and temporal changes relevant to traffic studies (e.g., vehicle density, incident detection) and then check IRS sensor resolution/timing.
Specifically names the Cartosat series as capturing high-quality images to improve maps and plan cities via an Indian mapping platform (Bhuvan).
One could extend this to hypothesize that high-resolution Cartosat imagery and Bhuvan-derived maps can be used to map road geometry and urban layouts needed for traffic analysis, then verify Cartosat spatial/temporal specs.
Notes GAGAN and NavIC are satellite-based navigation/positioning systems providing accurate real-time positioning and timing services.
A student could combine NavIC/GAGAN capability with ground vehicle GPS/NavIC-enabled data (e.g., probe vehicles, taxis) to infer how satellite navigation supports traffic monitoring/vehicle tracking.
States roads carry about 85% of passengers and 70% of freight, and road networks concentrate in urban centres, implying significant demand for road/traffic information.
Using this demand argument, a student could argue that national remote sensing and navigation assets (IRS/Cartosat/NavIC) are logical tools to consider for traffic studies and then seek technical evidence of such applications.
- [THE VERDICT]: Sitter. Directly solvable from NCERT Class XII (India People & Economy), Chapter 7, which distinguishes IRS from INSAT.
- [THE CONCEPTUAL TRIGGER]: Space Technology > Satellite Classes. The syllabus divides satellites by function: Remote Sensing (Looking down) vs. Communication (Bouncing signals).
- [THE HORIZONTAL EXPANSION]: Memorize the 'Functional Triad': 1. Earth Observation (IRS, Cartosat, Resourcesat, RISAT) β Crops, Maps, Spying. 2. Communication (INSAT, GSAT) β TV, Tele-medicine, Disaster Warning. 3. Navigation (NavIC, GAGAN) β GPS, Timing, Traffic.
- [THE STRATEGIC METACOGNITION]: When reading about a satellite, ask 'What is the payload?' If it has Cameras/Sensors, it's for Resources (IRS). If it has Transponders, it's for Connectivity (Telecom). Never mix the two.
IRS is explicitly named as India's remote sensing system; the references highlight satellites' synoptic view and monitoring uses which underpin crop assessment.
High-yield for UPSC geography and science-tech questions: links space programmes (ISRO/IRS) with practical applications (agriculture, disaster management). Helps answer questions on satellite categories, their uses, and national programmes. Prepare by linking NCERT/system descriptions with application examples in agriculture and environment.
- INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 7: Transport and Communication > Satellite Communication > p. 84
NRSA used remote sensing to define agro-climatic regions for planning agriculture, showing institutional use of satellite data in crop planning.
Useful for polity/administration + geography overlaps: shows how central technical agencies inform agricultural planning and policy. Master by studying institutional roles, schemes, and how remote sensing informs land-use/agricultural policy questions.
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 10: Spatial Organisation of Agriculture > AGRO-CLIMATIC REGIONS OF INDIA > p. 32
References link satellite imagery to identifying groundwater potential, river basins and drought-mitigation β factors that influence crop productivity.
Relevant to disaster management, resource planning and agriculture topics in UPSC. Understanding these applications enables answers on how tech aids resilience and productivity. Study by mapping remote-sensing outputs to practical interventions (irrigation planning, drought response).
- INDIA PHYSICAL ENVIRONMENT, Geography Class XI (NCERT 2025 ed.) > Chapter 6: Natural Hazards and Disasters > Consequences of Drought > p. 66
References state that satellite imagery and remote sensing are useful in identifying groundwater potential and aquifers.
High-yield for UPSC geography/environment: questions often ask about technological methods for resource mapping and drought mitigation. Connects to topics on water resources, drought management and GIS/RS applications. Prepare by studying examples of satellite applications (palaeochannel detection, aquifer mapping) and linking them to policy uses.
- INDIA PHYSICAL ENVIRONMENT, Geography Class XI (NCERT 2025 ed.) > Chapter 6: Natural Hazards and Disasters > Consequences of Drought > p. 66
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 3: The Drainage System of India > SARASWATI-THE MYSTERY OF A LOST RIVER > p. 27
IRS system is described as providing multispectral data and processed by NRSC for natural resource management.
Useful for questions on indigenous satellite capabilities and their role in resource management and planning. Helps answer demand-side questions on national technological assets (PSLV/IRS) and their practical uses. Study IRS mission capabilities, data types, and institutional players (NRSC) through official case examples.
- INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 7: Transport and Communication > Satellite Communication > p. 84
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 3: The Drainage System of India > SARASWATI-THE MYSTERY OF A LOST RIVER > p. 27
IRS-1C studies identified palaeochannels and subsurface features relevant to locating groundwater beneath deserts.
Directly applicable to questions on innovative methods of groundwater exploration and desert hydrology. Links geomorphology with remote sensing techniques; practice by reviewing case studies where palaeochannels indicated viable groundwater targets.
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 3: The Drainage System of India > SARASWATI-THE MYSTERY OF A LOST RIVER > p. 27
References explicitly recommend using ISRO/IRS remote sensing data and ground-truthing to decide mining locations and sustainable extraction.
High-yield for UPSC geography/environment topics: explains technological inputs into resource management, links space tech with mining policy and EIA processes. Master by studying ISRO applications, case examples, and integration with ground surveys to answer questions on sustainable mining and resource governance.
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 6: Environmental Issues > Guidelines for Sustainable Sand & Minor Mineral Mining > p. 115
- INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 7: Transport and Communication > Satellite Communication > p. 84
The 'Next Logical Question' is on specific IRS series: RISAT (Radar Imaging) is used for all-weather surveillance (cloud penetration), while Oceansat provides Potential Fishing Zones (PFZ) data based on chlorophyll and sea surface temperature.
Apply the 'Camera vs. Phone' logic. Remote Sensing literally means 'sensing from a distance' (taking photos). Telecommunications requires active signal relay (like a phone tower). A camera cannot act as a phone tower. Therefore, IRS cannot do Telecommunications (Option 4). Eliminating 4 removes options (B) and (D). Between (A) and (C), Mineral Exploration (3) is a classic geological use of spectral imaging (identifying rock signatures), making (A) the only logical choice.
Link this to GS-3 Agriculture & Disaster Management: The Pradhan Mantri Fasal Bima Yojana (PMFBY) mandates the use of Remote Sensing (IRS) for crop yield estimation and claim settlement, reducing human error in 'Girdawari'.