Chapter 09

Foundations of Remote Sensing

Observing the Earth from above. Learn about satellite platforms, orbits, and the four types of resolution that define every sensor.

At a Glance

Prereqs: Chapters 01, 03 Time: 25 min read + 20 min practice Deliverable: Sensor choice note

Learning outcomes

  • Describe the remote sensing pipeline (energy source to information product).
  • Compare spatial, spectral, temporal, and radiometric resolution using a real sensor example.
  • Choose a sensor for a given monitoring goal and justify your choice.

Key terms

passive/active sensor, revisit time, swath, surface reflectance, spatial/spectral/temporal/radiometric resolution

Stop & check

  1. You need weekly vegetation monitoring. Which matters more: spatial or temporal resolution?

    Answer: Temporal resolution (revisit frequency).

    Why: If you cannot observe often enough, you miss change even if pixels are very small.

    Common misconception: "Highest spatial resolution is always best"; it can be less useful if revisit is rare or clouds dominate.

  2. What is the practical difference between TOA and surface reflectance?

    Answer: Surface reflectance is corrected to better represent ground conditions; TOA still includes atmospheric effects.

    Why: Indices and time series are more comparable when atmospheric effects are reduced.

    Common misconception: "A true-color image is already corrected"; it can still be TOA and visually pleasing but not analysis-ready.

Try it (5 minutes)

  1. Pick a monitoring goal (crops, floods, wildfires, urban growth).
  2. Choose one sensor from the table below and write a 2-sentence justification using the four resolutions.

Lab (Two Tracks)

Both tracks produce the same deliverable: a short sensor-choice memo plus one figure (map/screenshot) supporting your argument.

Desktop GIS Track (ArcGIS Pro / QGIS)

Add two imagery layers (e.g., a high-res basemap and a coarser open dataset) and compare what each reveals. Capture one figure and describe the tradeoff.

Remote Sensing Track (Google Earth Engine)

Load Sentinel-2 or Landsat, apply a simple cloud filter, compute NDVI, and export a figure. In your memo, explain why that sensor fits your goal.

Common mistakes

  • Ignoring clouds/shadows: you interpret atmosphere instead of land surface change.
  • Mixing dates or seasons: differences look like change but are seasonal effects.
  • Using degrees for measurement: reproject before area/distance summaries.

Further reading: https://www.ucgis.org/site/gis-t-body-of-knowledge

πŸ›°οΈ What is Remote Sensing?

Remote sensing is the process of gathering information about Earth from a distance, typically using satellites, aircraft, or drones. Instead of physically measuring a tree or a river, we measure the electromagnetic energy it reflects or emits.

Is Remote Sensing a Science?

We build models. We take a continuous, complex reality (the Earth), abstract it into pixels, filter it through atmospheric noise, and apply algorithms written by humans with biases.

"Don't trick yourself to think when you're doing remote sensing that you're being a rational person... You're actually not being rational, you're being an artist and you don't realize it."

Like a painter, you choose your "paint" (the bands), your "brush" (the algorithm), and you interpret the result. Two scientists can map Amazon deforestation and get two different numbers. The "Truth" is not in the pixel; it is in the interpretation.

β˜€οΈ Passive vs. πŸ¦‡ Active Sensors

Passive Sensors

Like a camera or the human eye, passive sensors detect natural energy (sunlight) reflected off the Earth. They require daylight and clear skies to work.

Examples: Landsat, Sentinel-2, Photography.

Active Sensors

Think of a Camera with a Flash. It doesn't wait for the sun; it brings its own light.

Like a bat using echolocation, active sensors emit a pulse of energy and measure the return echo. They can "see" at night and through clouds.

Examples: LiDAR (Laser), RADAR (Radio waves).

πŸ” The Four Resolutions

To evaluate any satellite sensor, we must look at its four types of resolution:

  • Spatial Resolution: The size of the smallest object visible (e.g., 30m vs 1m pixels).
  • Spectral Resolution: The number and width of spectral bands the sensor captures.
  • Temporal Resolution: How often the satellite revisits the same spot (e.g., every 16 days).
  • Radiometric Resolution: The sensitivity of the sensor to small differences in energy (often measured in "bits").
Critical GIS: The "Privacy Pixel"

We often celebrate higher spatial resolution, but is there a limit? At 30m (Landsat), we see forests. At 1m (commercial), we see cars. At 30cm (military grade), we can potentially identify people. As sensors improve, the line between Earth observation and surveillance blurs. Who owns your "spectral signature" when you are in your own backyard?

πŸ”„ The Physics of Orbits

A satellite's path determines what it can see and how often. There are three main orbital types designed for different goals:

1. Geostationary (GEO)

Parks 36,000 km above the equator, matching Earth's rotation speed. It stares at the same spot continuously.

Best for: Weather monitoring (GOES).

2. Polar Orbit

Loops North-to-South while the Earth spins underneath. Covers the entire globe every 14 days or so.

Best for: Global mapping (Landsat).

3. Sun-Synchronous

A special polar orbit that crosses the equator at the same local time (e.g., 10:30 AM) every pass. Ensures consistent shadow lengths.

Best for: Vegetation analysis.

Major Satellite Programs

ProgramSpatial ResRevisit TimeApplication
Landsat 8/930m16 DaysAgriculture / History
Sentinel-210m5 DaysVegetation health
MODIS250m-1kmDailyGlobal climate
WorldView-30.3mOn-demandMilitary / Commercial
🌍 Launch Esri Earth Observation Explorer

Explore these satellite layers interactively in your browser.

Living Off the Land: The Logic of Regolith

In traditional geography, we map resources to extract and move them. In space exploration, the cost of moving things is too high. This forces a shift to In-Situ Resource Utilization (ISRU).

The Problem: The Supply Chain Breaks

You cannot email a screwdriver to Mars. As one student group noted: "We can't keep telling Earth, 'Please send us a resupply ship.' We need to produce on the fly."

The Solution: 3D Printing with Regolith (loose lunar/Martian soil). Instead of shipping concrete from Earth, robots scan the local terrain, identify suitable sediment, and "print" habitats or tools. This changes the map from a "Treasure Map" (where is the gold?) to a "Utility Map" (where is the printable dirt?).

Geography Concept:
Friction of Distance

When the "cost" of transport becomes infinite (space travel), local geography becomes the only geography.

Summary of Big Ideas

  • Active Sensors (like LiDAR) provide their own energy source; Passive Sensors (like Landsat) rely on the Sun.
  • Sun-Synchronous Orbits ensure the satellite passes over at the same time each day for consistent lighting.
  • Composite Imagery combines multiple bands to reveal features (e.g., False Color Infrared).

Chapter 09 Checkpoint

1. A satellite that revisits the same location every 16 days is said to have a 16-day:

Temporal Resolution
Spatial Resolution

2. Which satellite program has the longest continuous record of Earth's surface (starting in 1972)?

Sentinel
Landsat

πŸ“š Chapter Glossary

Revisit Time (Temporal Resolution) The time elapsed between two successive observations of the same ground area by a satellite (e.g., 16 days for Landsat).
Swath Width The width of the ground area imaged by a satellite sensor during a single pass. Wider swaths usually mean lower spatial resolution but faster global coverage.
Nadir The point on the ground directly vertically beneath the satellite. This is the point of least distortion in an image.
Sun-Synchronous Orbit An orbital path that ensures the satellite passes over any given point on the Earth's surface at the same local solar time.
← Chapter 08: Map Output Next: Chapter 10: Spectral Analysis β†’

BoK Alignment

Topics in the UCGIS GIS&T Body of Knowledge that support this chapter.