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Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

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Page 1: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Remote SensingGIS/Remote Sensing Workshop

June 6, 2013

Page 2: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Outline

•What is remote sensing?

• How do we practice remote sensing?

•Why do we use remote sensing?

Have you done remote sensing before?

Page 3: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

What is Remote Sensing?

“The art and science of obtaining information about an object without being in direct contact with the object” (Jensen, 2000)

Page 4: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Remote Sensing of the Environment

• Observe the world through remote sensing

• Use technology to surpass the limits of the human eye

Courtesy: earthobservatory.nasa.gov

Page 5: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

How does remote sensing work?

Electromagnetic Spectrum

Courtesy: science.hq.nasa.gov

Page 6: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Use of Electromagnetic Radiation

Courtesy: missionscience.nasa.gov, science.nasa.gov

Emission

Reflection

Radiati

on

Page 7: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Types of Remote Sensing and Technology

AerialPhotos

LiDAR Radar

Satellite Imagery

ACTIVE

PASSIVE

Page 8: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Brief History of Aerial and Satellite Imagery

• 1850s: Flight

•WW1 and WW2:Aerial Surveillance and Reconnaissance

• Post-WW2: Civilian Applications

• 1960: Space Age RS

• 2000: Public Remote Sensing

Page 9: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Image Basics

• Composed of pixels

• “picture elements”

• Smallest unit in an image, single-colored

• Sensor records electromagnetic radiation within the pixel’s area

• Cameras

• 3 Megapixels = 3,000,000 pixels

• 10 Megapixels = 10,000,000 pixels Courtesy: earthobservatory.nasa.gov

Page 10: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

ResolutionSpatial

• Size of the smallest feature that the sensor can detect

• Refers to “pixel size”

• Worse resolution = Lower resolution

Courtesy: Jim Campbell, Introduction to Remote Sensing; USGS

Page 11: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Resolution

Temporal

• Length of time between sensor visits

Spectral

• Size of wavelength interval that the sensor can distinguish

March 2002 June 2002

Courtesy: NASA

Page 12: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Visualizing a Pixel Lab

Page 13: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Aerial Photography vs. Satellite Imagery

• Standard aerial imagery is RGB

• Color infrared photography records IR reflectance

• Satellite imagery is a digital composite of many images taken at the same place and time, each at a different wavelength

Red Green

Blu

eIR

?

Courtesy: NASA

Page 14: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Display of Colors in Satellite Images

• The computer displays images in 3 colors: Red, Green, and Blue. Every computer graphic contains a combination of these colors to include the entire visible spectrum.

• Satellite images contain much more information!

• How would you display non-visible radiation on a computer screen or in a photo? For example, what color would you make IR?

• Image users decide which wavelengths to display

Page 15: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

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Digital Pixels

Analyst selects and combines 3 of the wavelengths for RGB color image

Sensor records the image reflectance for each wavelength

Red

Blue

Green

NIR I

NIR 2

NIR 3

Page 16: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

False Color Images

Page 17: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Image Interpretation Clues

• Location

• Size

• Color

• Texture

• Shape

• Pattern

• Height/Depth

• Site AssociationCourtesy: earthobservatory.nasa.gov

Textur

e

Page 18: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Image Interpretation

Courtesy: USGS

Page 19: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Image Interpretation Lab

Page 20: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Why do we use remote sensing?Agriculture, Forestry, Range

Government

Geology Water Resources

Archaeology

Environment

Vegetation types

Land use Rock types Water boundaries

Ancient ruins and roads

Disaster damage

Crop area Regional Planning

Geologic units

Floods and floodplains

Non-invasive records

Mining and reclamation

Biomass Mapping Landforms Glaciers/Ice

Pollution

Veg health

Transportation planning

Water depth

Wildlife distributions

Soil conditions

Turbidity and circulation

Adapted from “The Landsat Tutorial Workbook” (NASA, 1982)

Page 21: Remote Sensing GIS/Remote Sensing Workshop June 6, 2013

Worldwide Applications

Courtesy: eros.usgs.gov