Remote sensing

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Module:
Data Acquisition and data interpretation
Lesson: Remote sensing imagery
Zirek Malikova
OShTU, Software Engineering Department
[email protected]
Objectives:
1.
2.
3.
4.
5.
Definition of remote sensing.
Basics of remote sensing.
Remote sensing software.
Tasks for students.
References.
What is Remote Sensing?
"Remote sensing is the science (and to
some extent, art) of acquiring information
about the Earth's surface without actually
being in contact with it. This is done by
sensing and recording reflected or emitted
energy and processing, analyzing, and
applying that information."
[A Canada Centre for Remote Sensing Remote Sensing
Tutorial]
Basics of remote sensing
• Physical basics
• Satellite systems
• Visual image interpretation
• Image processing and enhancement
• Classification techniques
Physical basics
• electromagnetic spectrum,
• radiation and absorption principles,
atmospheric influences
• Energy interpretation with earth surface
features
• spectral reflectance properties
The electromagnetic spectrum
Energy Interaction with Earth Surface
Features
Specular and diffuse reflectance.
Satellite orbits
• Geostationary orbit
(METEOSAT)
Synchronous (polar)
Orbit (LANDSAT)
Satellite sensors
Active sensors
Passive sensors
Resolutions
• Spatial
• Spectral
• Radiometric
• Temporal
Spatial resolution
• Low resolution: larger 30 m
• Medium resolution: 2-30 m
• High resolution: under 2 m
Spectral resolutions
LANDSAT and SPOT spectral resolution
Visual image interpretation
1. the recognition of objects
2. a true interpretation
Schematic presentation of the Interpretation Process.
Image enhancement
• Histogram Stretches
• Filter
Image classification
Unsupervised Classification
Supervised Classification
The classification
process
Remote sensing software
•
•
•
•
•
•
ERDAS
MapInfo
ESRI
AutoDesk
IDRISI
RemoteView
Open source
•GRASS GIS
•QGIS
•OSSIM
Tasks for students
1. How can we do image interpretation in QGIS?
References
1.http://www.seo-sproject.eu/modules/
remotesensing/remotesensing-c01-p01.html
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