Skip to main content

Remote Sensing Resolutions

When we use satellites or drones to take pictures of the Earth, we talk about different types of "resolutions." These help us understand how clear, detailed, and frequent those pictures are. There are four main types:

1. Spatial Resolution – How small can you see?

  • It tells us the size of the smallest object we can see in the image.

  • It depends on the pixel size. Smaller pixels = more detail.

  • Example: If the resolution is 10 meters, each pixel shows a 10m × 10m area on the ground.

  • Higher spatial resolution means you can see things like buildings and roads clearly.

🟩 Think of zooming in on Google Maps — more zoom = better spatial resolution.

2. Spectral Resolution – How many colours can you see?

  • It tells us how many types of light (or wavelengths) the sensor can detect.

  • Better spectral resolution means it can tell the difference between more materials (like water, soil, and vegetation).

  • It's like being able to see not just red, green, and blue — but also special colours we can't see with our eyes (like infrared).

🖼️ More spectral bands = better for identifying what's what in the image.

3. Radiometric Resolution – How many shades of brightness?

  • This tells us how sensitive the sensor is to light or energy.

  • It measures how many brightness levels the image can show.

  • Example: An 8-bit image can show 256 shades of grey, while a 16-bit image can show 65,536 shades!

🌓 Higher radiometric resolution = you can see finer differences in brightness, like shadows or slight color changes.

4. Temporal Resolution – How often are pictures taken?

  • This tells us how often the satellite passes over the same place and takes a new image.

  • Useful for monitoring changes — like how crops grow, how a city expands, or tracking floods.

  • Some satellites take images daily, others take them once every few days or weeks.

📅 Just like taking photos of a plant every day to see how it grows — that's good temporal resolution.


Resolution TypeMeaningExample/Use
SpatialSmallest detail visibleSeeing individual trees or houses
SpectralTypes of light/colors detectedTelling grass from water
RadiometricBrightness detailSeeing small changes in shade
TemporalHow often images are takenWatching a field grow over time


Comments

Popular posts from this blog

Radar Remote Sensing SAR

1. Radar and Radar Remote Sensing RADAR stands for Radio Detection and Ranging . It is an active remote sensing system that transmits microwave energy toward the Earth's surface and records the energy that is returned to the sensor as an echo or backscatter . Unlike passive optical remote sensing, radar does not depend on sunlight. Therefore, it can operate day and night and, at suitable wavelengths, can acquire data through clouds, haze and light rain. Hence, radar is widely described as an all-weather, day-and-night remote sensing technology . Basic principle Microwave pulse → transmission → interaction with surface → backscatter/echo → antenna receives signal → signal processing → radar image 2. Microwave Energy Radar systems use microwave electromagnetic radiation , generally in wavelength ranges from approximately 1 mm to 1 m . Important radar bands include: Band Approx. wavelength Common applications ...

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl...

Lidar

LiDAR (Light Detection and Ranging) is an active remote sensing technology that measures distances by illuminating a target with laser pulses and analyzing the time it takes for the reflected light to return. Unlike passive systems (e.g., cameras, multispectral sensors), LiDAR provides its own energy source (laser), allowing it to operate both day and night and even penetrate through vegetation canopies . 🔹 How LiDAR Works (Step-by-Step Process) Laser Pulse Emission The system emits rapid, short pulses of laser light (commonly in the near-infrared wavelength, 1064 nm ). Some systems emit up to hundreds of thousands of pulses per second . Interaction with Target Surface The laser beam strikes objects such as vegetation, buildings, or bare ground. Depending on the object's structure, part of the pulse may scatter or reflect. Return Signal Detection The sensor records multiple returns : First Return → typically vegetation canopy tops. ...

Geometric Correction

When satellite or aerial images are captured, they often contain distortions (errors in shape, scale, or position) caused by many factors — like Earth's curvature, satellite motion, terrain height (relief), or the Earth's rotation . These distortions make the image not properly aligned with real-world coordinates (latitude and longitude). 👉 Geometric correction is the process of removing these distortions so that every pixel in the image correctly represents its location on the Earth's surface. After geometric correction, the image becomes geographically referenced and can be used with maps and GIS data. Types  1. Systematic Correction Systematic errors are predictable and can be modeled mathematically. They occur due to the geometry and movement of the satellite sensor or the Earth. Common systematic distortions: Scan skew – due to the motion of the sensor as it scans the Earth. Mirror velocity variation – scanning mirror moves at a va...

Radar image. Polarization in Remote Sensing

L band radars operate on a wavelength of 15-30 cm and a frequency of 1-2 GHz. L band radars are mostly used for clear air turbulence studies. S band radars operate on a wavelength of 8-15 cm and a frequency of 2-4 GHz. Because of the wavelength and frequency, S band radars are not easily attenuated. . Polarization refers to the direction of travel of an electromagnetic wave vector's tip: vertical (up and down), horizontal (left to right), or  circular (rotating in a constant plane left or right). . a synthetic aperture radar (SAR) for high-resolution imaging. a radar altimeter, to measure the ocean topography. echo amplitude a wind scatterometer to measure wind speed and direction. Other types of radars have been flown for Earth observation missions: precipitation radars such as the  Tropical Rainfall Measuring Mission, or cloud radars like the one used on Cloudsat. . RISAT-1 (SAR, ISRO India, 2012) RORSAT (SAR, Soviet Union, 1967-1988) Seasat (SAR, altimeter, scatterometer, US, 19...