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 Lecture 16  

SATELLITE IMAGERY


1. Satellite Images for Mapping

This technology initially evolved from the Cold War space race. First TV image from space. We see them now on a daily basis in news and weather reports.   hurricane Katrina   flood images   animation: world air traffic

 

a. Photography and multi-spectral scanning (mss)

Scanning can be used at any wavelength, and does not require the satellite to return to earth for film processing: the data are transmitted back to earth from the satellite. orbits

b. Earth monitoring satellites

These have one of two types of orbital paths: - the first is most important for mapping
    Sun-synchronous: the satellite orbits the earth, 9 degrees off the polar axis, between 9.30-10.30am local time. (Landsat) Altitude ~ 700-900km - swath path- 'earthnow'

    Geo-stationary: the satellite rotates with the earth, so that it is always in the same position relative to the earth. This is the case with our weather satellites (such as NIMBUS and GOES). Altitude ~ 36,000km

Spatial Resolution (pixel size)  ~1 metre to 1 kilometre

Low resolution (usually free) ..................1km - 10km (international) - suitable mostly for weather

Medium resolution (usually free)           100m -1km (national) - suitable for < 1:250,000

High resolution  (costs less)     ..............10 -100 metres (regional) - suitable for 1:50,000 - 1:250,000

Very High resolution    (costs more)        1 - 10 metres (Local)  - suitable for > 1:50,000


2. The Landsat Program

a. Multi-Spectral Sensor (MSS): 1972 - 1982

The first Landsat satellite was launched in 1972. Satellites 1,2,3 had a Multi-Spectral Sensor (MSS) scanning in the green, red and two near infra-red  wavelengths. Pixel size was 80 metres in resolution. This was suitable for mapping and map updating  at 1:250,000 and smaller scales, example : flooded areas in Quebec

b. Thematic Mapper (TM): 1982 and 1984 - present

Landsat satellites 4 and 5 have the MSS sensor but also the higher resolution (30 metres)  'Thematic Mapper' (TM). This has 7 bands: blue, green, red, near IR, two bands in the  mid-IR and one in the far (Thermal) IR (120m resolution). The  two main advantages over MSS are that the mid-IR is included and the pixels are 30 metre instead of 80 metre.

c. Enhanced Thematic Mapper (ETM+) 1999 - [2003]

Landsat 7 (1999) is similar to the earlier TM sensor, but data cost dropped 80% and copyright was removed, enabling websites where scenes can be downloaded. [The sensor malfunctionned in April 2003.]

Landsat 7 data are the basis of Google maps and Google Earth, and the mosaics in imap and www.mapplace.ca


 

3. Satellite Imagery versus Aerial Photography

Table : Satellite images versus Aerial Photos
Advantages of satellite imagery
Characteristics of aerial photographs
Greater Areal Extent
Higher Resolution 
Digital data
Analogue photos
Repetitive Coverage 
Lower cost of 'launch'
Regular (predictable) Distortion 
3D Stereo Effect
Greater Wavelength Range
Higher understanding
Analysis / GIS
Easier interpretation


4. Image display and enhancement

a. Digital images

The range of digital numbers (DN)  is generally 8 bit data  = 256 values: this gives each image dataset a range from 0 to 255. Therefore with 8 bit data DNs per channel and with three channels displayed (in red-green-blue), you could have up to 2563 = 16, 777, 216 colour combinations (and this is why it 'looks like a photo')

b. Contrast stretch

Digital images are initially low in contrast and features and need enhancement. The poor contrast results from the gray tones or color assignment rarely matching the Digital Number (DN) range (0-255) not filling the potential display range. In order to enhance the image the reflectance values can be stretched to match those of the potential display - a contrast stretch. Nifty example of Shroud of Turin

c. Colour composites

A colour composite is a three band colour image with each band projected through one of the RGB colour guns; thus only three bands can be displayed simultaneously. 

TM bands 1,2,3 in the BGR guns respectively will produce a "normal colour" image

Bands 2,3,4 will produce the equivalent of 'false' colour film (healthy vegetation displayed in red)

Bands 3,4,5 will produce the highest contrast image, with one band each in the visible, near-IR and mid-IR.

see also resmap


5. Other Satellites

a. SPOT (Systeme Probataire d'Observation de la Terre)

This series of satellites was first launched in 1986 by France and provides three multispectral bands with 20 metre pixels in the red, green and near IR wavelengths, creating a colour composite equivalent to 'false-colour' film. A fourth band is 'panchromatic' across the visible bands at 10 metre resolution, almost equivalent to high altitude aerial photos. Generally, the higher resolution of SPOT did not compensate for the extra bands in Landsat, although the latest SPOT-5 satellite (May 2002) includes the mid-IR, and even higher resolution (2.5m or 5m).

SPOT home page www.spot.com In Canada, Iunctus distributes SPOT data

 

b. ASTER (Advanced Spaceborne Thermal Emission and Reflection)

This sensor launched in 2000 aboard the Terra satellite is 'Landsat-like' but with 15 metre resolution ASTER homepage

The Terra satellite also carries a lower (250m-500m-1km) resolution sensor for regional observation MODIS homepage

 

c. GOES (Geostationary Orbital Earth Satellite)

These are the weather satellites, also with 1 kilometre pixels. A series of geo-stationary satellites cover the globe, yielding several earth images per day.

GOES home page www.goes.noaa.gov

Example of passive microwave (not affected by clouds): Sea temperature

d. RADARSAT

RADARSAT is Canada's first environmental satellite launched in 1995, and dedicated entirely to RADAR wavelengths.
It was aimed mostly at monitoring arctic sea ice, as RADAR is not affected by cloud cover or darkness. Radarsat 2, with higher spatial resolution is hoped to be launched in 2007.

RADARSAT: antarctica   RADARSAT 2: radarsat 2


Canada Centre for Remote Sensing: CCRS

.

e. Very high resolution: IKONOS and QUICKBIRD

Ikonos was the world's first corporate imaging satellite (the others are launched by national government agencies) It was launched in 1999, followed by Quickbird in 2001. These images are often used in news media to show dramatic events such as the 2004 Tsunami and Hurricane Katrina. 

Ikonos:  4metre multispectral / 1m Panchromatic                   UNBC campus 1m / 4m  

Quickbird: 2.4m multispectral / 60cm Panchromatic          Quickbird sample imagery

These provide most of the high resolution data seen in Google Earth and Google Maps

Google has sponsored its own satellite in 2008, the highest resolution sensor (50cm) Geoeye


General satellite image:   gallery .... Earth as Art Gallery

These satellites may be good, but they cannot see everything and monitor your movements as portrayed in movies such as Enemy of the State or by now they should have found Osama bean laden
 


   

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