Question map
For the measurement/estimation of which of the following are satellite images/remote sensing data used? 1. Chlorophyll content in the vegetation of a specific location 2. Greenhouse gas emissions from rice paddies of a specific location 3. Land surface temperatures of a specific location Select the correct answer using the code given below.
Explanation
The correct answer is option D because satellite images and remote sensing data can be used for all three measurements. Research has established relationships between gross primary production, green LAI, and canopy chlorophyll content in crops, with implications for remote sensing of[2] primary production and synoptic monitoring of vegetation[1], confirming that chlorophyll content can be measured remotely (Statement 1). Remote sensing provides a synoptic picture of watersheds for characterisation of natural resources, land, water, vegetation and inter-relationship between them[4], demonstrating the capability to monitor agricultural areas like rice paddies for greenhouse gas estimation (Statement 2). The use of satellite in getting a continuous and synoptic view of larger area has made satellite communication vital, and satellite images can be used for weather forecast, monitoring of natural calamities, surveillance of border areas, etc.[5], which inherently includes land surface temperature measurements (Statement 3). Therefore, all three parameters—chlorophyll content, greenhouse gas emissions from rice paddies, and land surface temperatures—can be measured or estimated using satellite images and remote sensing data.
Sources- [1] https://www.sciencedirect.com/science/article/abs/pii/S0034425716304722
- [2] https://www.sciencedirect.com/science/article/abs/pii/S0168192322003628
- [3] Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 15: Regional Development and Planning > Principles of watershed management are: > p. 27
- [4] Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 15: Regional Development and Planning > Principles of watershed management are: > p. 27
- [5] INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 7: Transport and Communication > Satellite Communication > p. 84
PROVENANCE & STUDY PATTERN
Full viewThis is a classic 'Science & Tech Application' question disguised as Geography. It tests 'First Principles' rather than rote memory: if a phenomenon has a spectral signature (color, heat, or shape), a satellite can detect it. The key is understanding that satellites measure 'proxies' (e.g., greenness for chlorophyll, thermal IR for temperature) to estimate parameters.
This question can be broken into the following sub-statements. Tap a statement sentence to jump into its detailed analysis.
- Statement 1: Can satellite images or remote sensing data be used to measure or estimate chlorophyll content in vegetation at a specific location?
- Statement 2: Can satellite images or remote sensing data be used to measure or estimate greenhouse gas emissions (e.g., methane) from rice paddies at a specific location?
- Statement 3: Can satellite images or remote sensing data be used to measure or estimate land surface temperature at a specific location?
- Explicitly links canopy chlorophyll content in maize to remote sensing of primary production.
- Indicates that chlorophyll content is a target variable for remote-sensing-based monitoring.
- References a work by Gitelson on the relationship between gross primary production and chlorophyll content with implications for synoptic (satellite-scale) monitoring.
- Shows that chlorophyll content is considered in remote-sensing research literature.
- Cites the same Gitelson relationship between gross primary production and chlorophyll content, tying it to remote sensing monitoring.
- Reinforces that chlorophyll content is used in studies supporting satellite remote sensing of vegetation function.
States that satellite images (including false-colour composites) are used to study plants on land and show different types of information.
A student could infer that different colours represent spectral responses of vegetation and, using known links between chlorophyll and spectral reflectance, explore whether specific bands/indexes correlate with chlorophyll.
Says remote sensing provides a synoptic picture for characterisation of vegetation and mapping natural resources.
From the idea that satellites characterise vegetation over areas, one could extend to using spectral measurements from those sensors to estimate vegetation properties like chlorophyll.
Notes drones and sensors provide data from which 'insights regarding crop health' can be drawn.
If crop health can be inferred from spectral/imagery data at close range, a student could reason that similar remotely sensed spectral indicators from satellites might estimate biochemical measures such as chlorophyll.
Describes LANDSAT and IRS data highlighting vegetation patterns (e.g., palaeochannels) using imagery and digital enhancement.
Because multispectral satellite data reveal vegetation patterns, one might extend that spectral signals could be processed to estimate vegetation properties tied to chlorophyll concentration.
Explains chlorophyll is the green pigment in leaves and central to photosynthesis (gives leaves their green colour).
Knowing chlorophyll affects leaf colour/reflectance, a student could connect leaf reflectance in visible/near-IR bands (captured by remote sensors) to possible chlorophyll estimation.
- Explicitly states remote sensing provides a synoptic picture and can estimate area covered by major land classes
- Area estimates from satellite imagery are a necessary input for location-specific emission calculations
- Identifies rice fields as a significant source of methane emissions
- Links the specific emission source (rice paddies) to the class of greenhouse gas (methane) referenced in the statement
- Describes that IPCC/NGGIP provides methods for estimating greenhouse-gas inventories
- Implies standardized approaches exist to convert activity data (e.g., area under rice) into emission estimates
- Explicitly states satellite images are used for weather forecast and meteorological observation.
- Names Indian satellite systems (INSAT, IRS) that perform meteorological observation and related data programs.
- Describes remote sensing as providing a synoptic picture for characterisation of land, water and vegetation.
- States satellite imagery can give quantitative estimates (e.g., area covered), implying remote sensing yields measurable surface information.
- Explains that temperature distribution at places is mapped using isotherms (lines joining equal temperature).
- Demonstrates that surface air temperature can be represented spatially on maps, supporting the idea of location-specific temperature estimation.
- [THE VERDICT]: Logical Sitter. Solvable using NCERT Geography basics (Isotherms, Remote Sensing) + Common Sense (Plants are green due to chlorophyll).
- [THE CONCEPTUAL TRIGGER]: Remote Sensing Applications & Space Technology (GS-3) > Electromagnetic Spectrum.
- [THE HORIZONTAL EXPANSION]: 1. **NDVI (Normalized Difference Vegetation Index)**: Uses Red & Near-Infrared bands to measure vegetation health. 2. **Thermal Infrared (TIR)**: Used to measure Land Surface Temperature (LST). 3. **Sentinel-5P**: Monitors atmospheric gases like Methane, NO2, and Ozone. 4. **SAR (Synthetic Aperture Radar)**: Can see through clouds/darkness (unlike optical sensors). 5. **GRACE Mission**: Measures groundwater depletion via gravity anomalies (non-optical).
- [THE STRATEGIC METACOGNITION]: Do not memorize lists of 'Uses of Satellites'. Instead, apply the 'Physics Check': Does the target object reflect light, emit heat, or change the gravity field? If yes, Remote Sensing applies. Chlorophyll reflects IR/Green; Temperature emits IR; Rice paddies have distinct spectral signatures.
Remote sensing provides synoptic imagery used to characterise vegetation cover and estimate areas of different vegetation types.
High-yield for questions on land use, watershed management and environmental monitoring; links physical geography with resource planning and GIS-based policy tools. Mastering this helps answer questions on mapping, monitoring forest/vegetation cover and planning interventions.
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 15: Regional Development and Planning > Principles of watershed management are: > p. 27
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 3: The Drainage System of India > SARASWATI-THE MYSTERY OF A LOST RIVER > p. 27
False-colour composites assign visible colours to selected wavelength bands to reveal plant-related information and other environmental variables.
Useful for deciphering remote sensing outputs in questions on crop monitoring, oceanographic and ecological studies; enables candidates to explain how spectral bands are used to highlight vegetation health and different land features.
- Science ,Class VIII . NCERT(Revised ed 2025) > Chapter 13: Our Home: Earth, a Unique Life Sustaining Planet > Probe and ponder > p. 211
Drones and remote sensors capture high-resolution imagery and sensor data that provide insights into crop health and field-level monitoring.
Directly relevant for questions on smart farming, precision agriculture and crop insurance policy; connects technology, agricultural productivity and disaster response, allowing informed answers on modern agri-technology applications.
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 10: Agriculture - Part I > Use of Technology for Crop insurance: > p. 322
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 11: Agriculture - Part II > Smart Farming > p. 359
Remote sensing provides synoptic maps and area estimates needed to quantify location-specific activity (e.g., extent of rice paddies).
High-yield for questions linking geospatial tools to environmental assessment; helps convert satellite outputs into activity data used in emissions calculations. Connects geography (land-use mapping), environment (sources of emissions), and technology (satellites).
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 15: Regional Development and Planning > Principles of watershed management are: > p. 27
- Science ,Class VIII . NCERT(Revised ed 2025) > Chapter 13: Our Home: Earth, a Unique Life Sustaining Planet > Probe and ponder > p. 211
- INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 7: Transport and Communication > Satellite Communication > p. 84
Rice fields are a known anthropogenic source of methane, the greenhouse gas exemplified in the statement.
Essential for answering environment questions on sectoral emissions and mitigation; links agricultural practices to climate change debates and inventory accounting. Enables questions on sector-specific mitigation policy and emission drivers.
- Environment and Ecology, Majid Hussain (Access publishing 3rd ed.) > Chapter 7: Climate Change > 2. greenhouse gases > p. 11
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 17: Climate Change > 17,3.3. Methane > p. 256
IPCC/NGGIP provides methods to convert activity data into greenhouse-gas emission estimates for inventories.
Crucial for policy and governance questions about national reporting and measurement methods; helps frame how remote-sensing-derived activity data can be integrated into standard estimation procedures. Useful for questions on international reporting obligations and methodological consistency.
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 24: Climate Change Organizations > 24.21; NATIONAL GREEN HOUSE GAS INVENTORIES PROGRAMME (NGGIP) > p. 341
Satellites (INSAT, IRS) are used for weather forecasting and meteorological observation, which underpins estimating surface parameters remotely.
High-yield for UPSC because understanding satellite roles links physical geography with technology and disaster management. It connects to topics on weather forecasting, remote sensing applications, and national satellite systems, enabling answers on how modern observations are obtained and used in planning.
- INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 7: Transport and Communication > Satellite Communication > p. 84
Hyperspectral Imaging (HysIS). While standard satellites (Multispectral) see 'Green Vegetation' (Chlorophyll), Hyperspectral sensors break light into hundreds of narrow bands, allowing them to identify the *specific species* of the crop or specific *minerals* in the soil. This is the next logical question.
The 'Proxy Principle'. A student might doubt Statement 2: 'How can a camera see gas emissions from mud?' Logic: Satellites measure the *Area* of rice paddies (visible) and *Methane Concentration* in the air column (spectroscopy). Combining these allows for 'Estimation'. If the question says 'Estimation', be liberal. If it said 'Direct Measurement of bacterial digestion', be skeptical.
Precision Agriculture (GS-3). The three parameters in the question are the holy trinity of Smart Farming: Chlorophyll = Nitrogen/Fertilizer need; LST = Water stress/Irrigation need; Methane = Climate footprint. This data feeds into schemes like PM Fasal Bima Yojana for yield estimation.