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Sample Output |
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Single
Source
Multiple Source
Multiple Band
Map / Image Blend
Elevation Data |
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Single Source
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These examples show products produced
with EarthWhere™ from a single source
of imagery data. Single source refers to the type of
sensor used to collect one or several images. |
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Aerial Orthographic Mosaic over San Diego
Convention Center |
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Source:
6-inch resolution aerial imagery from Emerge
EarthWhere™
combined and then clipped the 4 individual
images from Emerge to create one new image
(mosaic). It also preserved the 6-inch
resolution and radiometry from the 4 source
images. |
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Satellite Image over Coronado Island, California |
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Source:
0.61-meter resolution Quickbird imagery from
DigitalGlobe
This full
resolution clip is from one QuickBird scene over
San Diego. DigitalGlobe's QuickBird satellite
has the industry leading capability to provide
imagery at 61-centimeter panchromatic and
2.44-meter multispectral resolutions. |
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Digital Ortho Quad Mosaic — Cheeseman Lake,
Colorado |
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Source:
1 meter-resolution DOQ from the USGS
EarthWhere™
created this mosaic from 4 DOQQ (Digital Ortho
Quarter Quads) from the USGS. We used a special
“DOQ Matching” feature to produce a more
consistent tonal balance within the final image.
The DOQs were also combined using a
linear-feathering technique that removes the
hard edges where the images join. |
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Digital Raster Graphic Map Mosaic — Cheeseman
Lake, Colorado
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Source:
1:24,000 scale DRG Topographical Maps from the
USGSThis mosaic was
created from 2 DRG topographical maps from the
USGS.
The new file preserved the
1:24,000 scale.
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Multiple Source
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The following examples show how
EarthWhere™
can combine data from different sources to create a
composite image.
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Aerial & Satellite Imagery combined with a Map —
Downtown San Diego |
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Source:
6-inch resolution aerial imagery from Emerge
(bottom center)
0.61-meter resolution Quickbird imagery from
DigitalGlobe
1:24,000 scale DRG Topographical Map from the
USGS (right)
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created this image using the "A over B" combiner
method with the highest-resolution imagery (the
6-inch aerial) on top, followed by the Quickbird
satellite imagery, and then the DRG Map on the
bottom. EarthWhere™ automatically aligns the
imagery with the map.
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Aerial Imagery combined with a Map — Coronado
Island, California
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Source:
1 meter-resolution imagery from AerialsExpress
(top)
1:24,000 scale DRG Topographical Map from the
USGS (right)
We also
created this image using the "A over B" combiner
method, placing the 1-meter aerial imagery on
the top of the map.
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Two sources of Satellite Imagery combined with a
Map — San Diego, California |
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Source:
1-meter satellite IKONOS imagery from Space
Imaging (bottom center)
Landsat 7 pansharpened to 5-meter with IRS by
ImageLinks (top)
1:250,000 scale DRG Topographical Map from the
USGS (bottom)
The image at the top of this
multiple-source composite is a Landsat 7,
30-meter image sharpened to 5 meters by
ImageLinks, using IRS 5-meter imagery. The
imagery in the bottom center is a full IKONOS
1-meter scene. EarthWhere™ combined both of the
satellite images with a USGS 1:250,000 foot
scale map using its "A over B" combiner method.
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Satellite Imagery combined with 4 Maps —
Southern California |
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Source:
Landsat 7 pansharpened to 15-meter by
ImageLinks (center left)
1:100,000 scale DRG Topographical Map from the
USGSThe image in this
example is from the Landsat 7 satellite
sharpened to 15 meters by ImageLinks. In this
example, the image covers one geocell (1 degree
x 1 degree) and was combined with 4 USGS
1:100,000 foot scale maps using EarthWhere’s "A
over B" combiner method.
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Multiple Band
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These examples show how different band
combinations can be used with the same image for
different purposes. They were created with EarthWhere™
using the same Landsat 7 ETM+ 7-band source image over
Southern California. ETM+ bands are collected from seven
separate regions in the electromagnetic spectrum. Four
commonly used band combinations are illustrated in these
examples.
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Bands 3, 2, 1 — Natural Color |
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Source:
35-meter resolution satellite image from USGS
Landsat 7 ETM+
This
true-color (Red, Green, Blue) band combination
creates a natural looking image. The visible
bands (3,2,1) penetrate shallow water and detail
water turbidity, currents, bathymetry, and
sediment plumes. In general, dark blues in the
ocean indicate deeper water while light blues
mean shallower water. Healthy vegetation appears
in shades of green, and soils appear as browns
and tans.
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Bands 4, 3, 2, — Color Infrared |
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Source:
35-meter resolution satellite image from USGS
Landsat 7 ETM+
This
image combines near-infrared Band 4 with visible
Bands 3 and 2. Using Band 4 results in more
defined water boundaries than the Natural Color
3,2,1 image above. Band 4 senses peak
chlorophyll reflectance as various tones of red,
which enables information about the conditions
and variety of vegetation to be analyzed.
Generally, deeper reds indicate broad leaf
and/or healthy vegetation while lighter reds
signify grassland and/or sparsely vegetated
areas.
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Bands 4, 5, 3 — Moisture Analysis |
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Source:
35-meter resolution satellite image from USGS
Landsat 7 ETM+
This combination of near-infrared
Band 4, mid-infrared Band 5 and visible Band 3
provides better definition of land-water
boundaries and highlights subtle details not
readily apparent in the visible bands alone.
Inland lakes and streams can be located with
greater precision when more infrared bands are
used. With this band combination, vegetation
type and conditions show as variations in hue
(browns, greens, and oranges) as well as tone.
The 4,5, 3 band combination demonstrates
moisture differences and is useful for analysis
of soil and vegetation conditions. Generally,
the wetter the soil, the darker it appears.
Urban areas appear in varying shades of magenta.
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Bands 7, 4, 2 |
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Source:
35-meter resolution satellite image from USGS
Landsat 7 ETM+This is a
combination of mid-infrared Band 7,
near-infrared Band 4, and visible Band 2. The
7,4,2 combination retains the benefits of the
infrared bands yet presents vegetation in
familiar green tones. Mid-infrared Band 7 helps
discriminate moisture content in both
vegetations and soils. Grasslands appear as
light green; olive green-to-bright green
normally indicates forested areas.
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Map/Image Blend
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The following examples show how
EarthWhere™ can blend a map with an image to create a
map/image blend.
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Aerial Orthographic Image — Coronado Island
Bridge, California
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Source:
1-meter resolution imagery from AerialsExpress
This
one-meter resolution aerial orthographic
photograph is from one AerialsExpress scene over
San Diego.
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Digital Raster Graphic Map — Coronado Island
Bridge, California
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Source:
1:24,000 scale DRG Topographical Maps from the
USGS
This
1:24,000 scale DRG Topographical Map was cut
from the same area of interest as the Aerial
Image above. Deselecting the mosaic option
caused EarthWhere™ to output both the image and
the map simultaneously.
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Map/Image Blend
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Source:
1-meter resolution imagery from AerialsExpress
1:24,000 scale DRG Topographical Maps from the
USGS
Changing the combiner method to
"Map/Image" caused EarthWhere™ to produce a new
file consisting of both the image and the map.
The user can adjust the percentage of map and
image they want to see in their output. For this
example, the map was set to 25% and the image
was set to 75%.
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Elevation Data
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The following examples were produced from
elevation data. Elevation data, collected by aircraft
and satellites, represents the elevation height of
points on the Earth. Elevation data are often referred
to as a "Digital Elevation Model" or DEM data.
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DEM — State of Colorado |
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Source:
90-meter DTED from NIMA
EarthWhere™ created this image using 35 DTED
(Digital Terrain Elevation Data) files. The
difference in the grayscale color represents
elevation, darker color indicates lower
elevation while lighter color indicates higher
elevation.
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Color DEM — State of Colorado |
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Source:
90-meter DTED from NIMA
EarthWhere™ created this image using 35 DTED
files. Color for a specific elevation is applied
using a predetermined color table. For this
example, dark green indicates between 3,000 to
3,500 feet, while white indicates over 12,000
feet.
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Shaded Relief — State of Colorado |
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Source:
90-meter DTED from NIMA
EarthWhere™ created this image
using 35 DTED files. The "Shaded Relief" option
was used to introduce a light source that
produces shadows.
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Color Shaded Relief — State of Colorado |
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Source:
90-meter DTED from NIMA
EarthWhere™ created this image
using 35 DTED files. This example used both the
color table corresponding to specific elevation
and the "Shaded Relief" option to produce a
colorized, shaded relief image.
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Click on the
Photos |
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Clicking on the photos to the right will
give you a more detailed look at the
output generated by EarthWhere.
page |
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