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Lesson: Remote sensing imagery Zirek Malikova OShTU, Software Engineering Department [email protected] Module: Data Acquisition and data interpretation

Lesson: Remote sensing imagery

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Module: Data Acquisition and data interpretation. Lesson: Remote sensing imagery. Zirek Malikova OShTU, Software Engineering Department [email protected]. Objectives:. Definition of remote sensing. Basics of remote sensing. Remote sensing software. Tasks for students . References. - PowerPoint PPT Presentation

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Page 1: Lesson:  Remote sensing imagery

Lesson: Remote sensing imageryZirek MalikovaOShTU, Software Engineering [email protected]

Module: Data Acquisition and data interpretation

Page 2: Lesson:  Remote sensing imagery

Objectives:1. Definition of remote sensing.2. Basics of remote sensing.3. Remote sensing software.4. Tasks for students.5. References.

Page 3: Lesson:  Remote sensing imagery

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]

Page 4: Lesson:  Remote sensing imagery

Basics of remote sensing•Physical basics•Satellite systems•Visual image interpretation•Image processing and enhancement•Classification techniques

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Physical basics

•electromagnetic spectrum, •radiation and absorption principles, atmospheric influences

•Energy interpretation with earth surface features

•spectral reflectance properties

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The electromagnetic spectrum

Page 7: Lesson:  Remote sensing imagery

Energy Interaction with Earth Surface Features

Specular and diffuse reflectance.

Page 8: Lesson:  Remote sensing imagery

Satellite orbits•Geostationary orbit(METEOSAT)

Synchronous (polar) Orbit (LANDSAT)

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Satellite sensorsActive sensors Passive sensors

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Resolutions•Spatial•Spectral•Radiometric•Temporal

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Spatial resolution•Low resolution: larger 30 m•Medium resolution: 2-30 m•High resolution: under 2 m

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Spectral resolutions

LANDSAT and SPOT spectral resolution

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Visual image interpretation1. the recognition of objects2. a true interpretation

Schematic presentation of the Interpretation Process.

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Image enhancement• Histogram Stretches

• Filter

Page 15: Lesson:  Remote sensing imagery

Image classification

Unsupervised Classification

Supervised Classification

Page 17: Lesson:  Remote sensing imagery

Remote sensing software•ERDAS

•MapInfo•ESRI•AutoDesk•IDRISI•RemoteView

Open source

• GRASS GIS• QGIS• OSSIM

Page 18: Lesson:  Remote sensing imagery

Tasks for students1. How can we do image interpretation in

QGIS?