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Remote Sensing Practice Test — Easy Level

A free 10-question Remote Sensing practice test for Science Olympiad, written at invitational level. Every question and answer choice is listed below — correct answers and scoring are revealed when you take the timed test.

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1. A satellite sensor sends out its own pulses and can map Earth's surface at night and through clouds. Which type of remote sensing is this describing?

  • A.A) Passive visible light imaging
  • B.B) Passive thermal infrared sensing
  • C.C) Active microwave radar sensing
  • D.D) Passive near-infrared vegetation sensing

2. A team wants to monitor drought development in a semi-arid region over several years using satellite data. Which data product would be MOST directly useful for detecting vegetation stress due to lack of water?

  • A.A) Long-term time series of NDVI from sensors like MODIS or Sentinel-2
  • B.B) Nighttime lights data from urban areas
  • C.C) Sea surface height anomalies from satellite altimetry
  • D.D) Cloud-top temperature from a geostationary weather satellite

3. A student is comparing vegetation health in two fields using NDVI from a Landsat-like sensor. For Field 1, the satellite measures a near-infrared (NIR) reflectance of 0.60 and a red reflectance of 0.20. For Field 2, the NIR reflectance is 0.48 and the red reflectance is 0.32. Using NDVI = (NIR − Red) / (NIR + Red), which statement is correct?

  • A.A) Field 1 has NDVI = 0.25 and is less healthy than Field 2
  • B.B) Field 1 has NDVI = 0.50 and is healthier than Field 2
  • C.C) Field 2 has NDVI = 0.25 and is healthier than Field 1
  • D.D) Field 2 has NDVI = 0.80 and is healthier than Field 1

4. A student wants to compare how often two different satellites can image the same forest to monitor drought impacts. Which type of resolution is MOST important for this comparison?

  • A.A) Spatial resolution
  • B.B) Spectral resolution
  • C.C) Temporal resolution
  • D.D) Radiometric resolution

5. You are given two false-color NIR–Red–Green composite images (NIR displayed as red) of the same forest region from Landsat, one from 1990 and one from 2025. In the 1990 image, the area is mostly bright red, while in 2025 much of the same area appears dull brown and gray. What is the MOST likely climate-related explanation?

  • A.A) Increased healthy vegetation due to higher CO₂ fertilization
  • B.B) Large-scale deforestation and land-use change over time
  • C.C) Heavy snowfall accumulation hiding the vegetation canopy
  • D.D) A sensor malfunction that removed the near-infrared band

6. You want to create a monthly global map of land surface temperature anomalies from a thermal infrared satellite sensor to study climate change. Which sequence of steps is the most appropriate process to follow?

  • A.A) Average all daily temperature maps for the month; compare the monthly average to a long-term monthly mean; map the difference as an anomaly
  • B.B) Subtract each pixel’s value from the global mean temperature; average the resulting anomalies over the month; ignore any long-term record
  • C.C) Compute NDVI for each day; average NDVI over the month; subtract NDVI from a long-term temperature mean to get anomalies
  • D.D) Use a single clear-sky day each month; subtract that day’s temperature from the previous month’s value to get the anomaly

7. You are comparing four land covers in a satellite image that has red and near-infrared (NIR) bands. NDVI is defined as (NIR − red) / (NIR + red). Which land cover is expected to have the HIGHEST NDVI value, indicating the healthiest vegetation?

  • A.A) Dark open water with low reflectance in both red and NIR
  • B.B) Dense green forest with high NIR reflectance and low red reflectance
  • C.C) Bright bare soil with similar moderate reflectance in red and NIR
  • D.D) Urban concrete and asphalt with low reflectance in NIR and moderate red reflectance

8. Researchers design a study to quantify sea level rise along a coastline from 1993 to 2023 using satellite observations. Which type of satellite measurement is BEST suited for accurately tracking global mean sea level change over this period?

  • A.A) Optical imagery of shoreline position from Landsat
  • B.B) Radar altimetry data from missions like TOPEX/Poseidon and the Jason series
  • C.C) Passive microwave measurements of sea surface salinity
  • D.D) Thermal infrared measurements of sea surface temperature

9. For tracking developing hurricanes that affect climate-related hazards, meteorologists rely on a weather satellite that continuously views the same region of Earth. Which type of orbit does this satellite most likely use?

  • A.A) Low Earth, sun-synchronous polar orbit
  • B.B) Medium Earth, highly elliptical orbit
  • C.C) Geostationary orbit at about 35,786 km altitude
  • D.D) Random low Earth orbit with no fixed ground track

10. A scientist wants to study how changing snowpack in a mountain range is affecting downstream river flows under a warming climate. Which basic remote sensing strategy would BEST connect satellite data to this climate impact?

  • A.A) Use repeated optical and infrared imagery to map snow-covered area and compare it with long-term streamflow gauge records
  • B.B) Use only geostationary weather satellite cloud images to estimate snowfall from cloud brightness
  • C.C) Use nighttime lights data to track population growth near the rivers
  • D.D) Use radar altimetry over the ocean to infer freshwater runoff indirectly from sea level changes

Questions are AI-generated for Remote Sensing practice and can contain mistakes — check answers against reliable sources. Take the timed version to see correct answers, scoring, and explanations: start the Remote Sensing test.