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The document provides an overview of the fundamentals of remote sensing, focusing on the different types of resolution: spatial, spectral, temporal, and radiometric. Each type of resolution is defined, explaining its significance in image interpretation and the ability to distinguish features on the Earth's surface. Understanding these resolutions is crucial for effective remote sensing applications.

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Romnick Malulan
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16 views12 pages

Topic 2

The document provides an overview of the fundamentals of remote sensing, focusing on the different types of resolution: spatial, spectral, temporal, and radiometric. Each type of resolution is defined, explaining its significance in image interpretation and the ability to distinguish features on the Earth's surface. Understanding these resolutions is crucial for effective remote sensing applications.

Uploaded by

Romnick Malulan
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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MODULE 1: FUNDAMENTALS OF

REMOTE SENSING

SPATIAL, SPECTRAL, TEMPORAL, AND


RADIOMETRIC RESOLUTION
RESOLUTION IMPORTANT IN IMAGE
INTERPRETATION
Resolution in remote sensing refers to the level of detail and
accuracy of the information that can be obtained from an
image or dataset. In other words, it is the ability of a remote
sensing system to distinguish between objects or features
on the Earth’s surface.
TYPES OF RESOLUTION
There are several types of resolution in remote sensing, including:
Spatial Resolution
Spectral Resolution
Radiometric Resolution
Temporal Resolution
SPATIAL RESOLUTION
Spatial resolution refers to the level of detail or the size of
the smallest feature that can be detected in an image.
It is determined by the sensor’s pixel size, which is the
area on the ground represented by each pixel in the
image.
The smaller the pixel size, the higher the spatial resolution
and the more detailed the image.
SPECTRAL RESOLUTION
Spectral resolution refers to the ability of a sensor to detect
different wavelengths or colors of light.
It is determined by the number and width of the bands in
an image, which determines the range of electromagnetic
wavelengths that can be detected.
A high spectral resolution sensor can distinguish between
different types of vegetation or minerals based on their
unique spectral signatures.
TEMPORAL RESOLUTION
This refers to the frequency and regularity of data acquisition
over a given area. It is determined by the time interval between
successive acquisitions of images or other data.
This could be a satellite system with a defined 16-day or 26-day
orbital repeat cycle, or a tripod-mounted camera with a timer
that collects one image every hour to serve as reference data.
A sensor with high temporal resolution can provide frequent
updates on changes in land cover, vegetation health, or other
features over time.
RADIOMETRIC RESOLUTION
Radiometric resolution refers to the ability of a sensor to
detect small differences in the intensity of radiation or light.
It is determined by the number of bits used to represent
the digital values of each pixel in the image.
A sensor with high radiometric resolution can detect small
changes in reflectance or brightness, which can be
important for identifying subtle variations in land cover or
surface features.
THANK YOU!

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