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3-D Perspective Pasadena, Ca
| Title |
3-D Perspective Pasadena, California |
| Full Description |
This perspective view shows the western part of the city of Pasadena, California, looking north towards the San Gabriel Mountains. Portions of the cities of Altadena and La Canada, Flintridge are also shown. The image was created from three datasets: the Shuttle Radar Topography Mission (SRTM) supplied the elevation data, Landsat data from November 11, 1986 provided the land surface color (not the sky) and U.S. Geological Survey digital aerial photography provides the image detail. The Rose Bowl, surrounded by a golf course, is the circular feature at the bottom center of the image. The Jet Propulsion Laboratory is the cluster of large buildings north of the Rose Bowl at the base of the mountains. A large landfill, Scholl Canyon, is the smooth area in the lower left corner of the scene. This image shows the power of combining data from different sources to create planning tools to study problems that affect large urban areas. In addition to the well-known earthquake hazards, Southern California is affected by a natural cycle of fire and mudflows. Wildfires strip the mountains of vegetation, increasing the hazards from flooding and mudflows for several years afterwards. Data such as shown on this image can be used to predict both how wildfires will spread over the terrain and also how mudflows will be channeled down the canyons. The Shuttle Radar Topography Mission (SRTM), launched on February 11, 2000, uses the same radar instrument that comprised the Spaceborne Imaging Radar-C/X-Band Synthetic Aperture Radar (SIR-C/X-SAR) that flew twice on the Space Shuttle Endeavour in 1994. The mission was designed to collect three dimensional measurements of the Earth's surface. To collect the 3-D data, engineers added a 60-meter-long (200-foot) mast, an additional C-band imaging antenna and improved tracking and navigation devices. The mission is a cooperative project between the National Aeronautics and Space Administration (NASA), the National Imagery and Mapping Agency (NIMA) and the German (DLR) and Italian (ASI) space agencies. It is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Earth Science Enterprise, Washington, DC. Size: 5.8 km (3.6 miles) x 10 km (6.2 miles) Location: 34.16 deg. North lat., 118.16 deg. West lon. Orientation: Looking North Original Data Resolution: SRTM, 30 meters, Landsat,30 meters, Aerial Photo, 3 meters (no vertical exaggeration) |
| Date |
02/16/2000 |
| NASA Center |
Jet Propulsion Laboratory |
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Great Zoom Mosaic - Zoom In
| Title |
Great Zoom Mosaic - Zoom In |
| Abstract |
This is a mosiac of zooms into 20 different locations prepared to support a paper given at IEEE Visualization 2002. The locations are: Long Beach, CA, New York City, NY, San Fransisco, CA, NASA-Goddard, Boston, MA, New Orleans, LA, Salt Lake City, UT, Sabie River, Africa, Park City, UT, Chicago, IL, Mongu, Africa, Salt Lake City, UT, Amazon, Brazil, Los Angeles, CA, Baltimore, MD, Snwo Basin, UT, Atlanta, GA, Washington, DC, Orlando, FL, and Seattle, WA. Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2002-10-28 |
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Great Zoom Mosaic - Zoom In
| Title |
Great Zoom Mosaic - Zoom In |
| Abstract |
This is a mosiac of zooms into 20 different locations prepared to support a paper given at IEEE Visualization 2002. The locations are: Long Beach, CA, New York City, NY, San Fransisco, CA, NASA-Goddard, Boston, MA, New Orleans, LA, Salt Lake City, UT, Sabie River, Africa, Park City, UT, Chicago, IL, Mongu, Africa, Salt Lake City, UT, Amazon, Brazil, Los Angeles, CA, Baltimore, MD, Snwo Basin, UT, Atlanta, GA, Washington, DC, Orlando, FL, and Seattle, WA. Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2002-10-28 |
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Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC and Baltimore, Maryland Area. |
| Abstract |
Here we see an image of the Washington, D.C.-Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
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Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC and Baltimore, Maryland Area. |
| Abstract |
Here we see an image of the Washington, D.C.-Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
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Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC and Baltimore, Maryland Area. |
| Abstract |
Here we see an image of the Washington, D.C.-Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
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Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC and Baltimore, Maryland Area. |
| Abstract |
Here we see an image of the Washington, D.C.-Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
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Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC and Baltimore, Maryland Area. |
| Abstract |
Here we see an image of the Washington, D.C.-Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
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Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC and Baltimore, Maryland Area. |
| Abstract |
Here we see an image of the Washington, D.C.-Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
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Great Zoom Mosaic - Zoom Out
| Title |
Great Zoom Mosaic - Zoom Out |
| Abstract |
This is a mosiac of zooms out of 20 different locations prepared to support a paper given at IEEE Visualization 2002. The locations are: Long Beach, CA, New York City, NY, San Fransisco, CA, NASA-Goddard, Boston, MA, New Orleans, LA, Salt Lake City, UT, Sabie River, Africa, Park City, UT, Chicago, IL, Mongu, Africa, Salt Lake City, UT, Amazon, Brazil, Los Angeles, CA, Baltimore, MD, Snwo Basin, UT, Atlanta, GA, Washington, DC, Orlando, FL, and Seattle, WA. Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2002-10-28 |
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Time heals all wounds. A loo
| Title |
Time heals all wounds. A look at Mt. St. Helens (slower dissolve) |
| Abstract |
Mount St. Helens over time (1973, 1983, and 2000) via the Landsat satellites. Scientists can see how the local area is healing after the 1980 eruption of the volcano. |
| Completed |
2001-04-12 |
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Time heals all wounds. A loo
| Title |
Time heals all wounds. A look at Mt. St. Helens (slower dissolve) |
| Abstract |
Mount St. Helens over time (1973, 1983, and 2000) via the Landsat satellites. Scientists can see how the local area is healing after the 1980 eruption of the volcano. |
| Completed |
2001-04-12 |
|
Time heals all wounds. A loo
| Title |
Time heals all wounds. A look at Mt. St. Helens (slower dissolve) |
| Abstract |
Mount St. Helens over time (1973, 1983, and 2000) via the Landsat satellites. Scientists can see how the local area is healing after the 1980 eruption of the volcano. |
| Completed |
2001-04-12 |
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Time heals all wounds. A loo
| Title |
Time heals all wounds. A look at Mt. St. Helens (slower dissolve) |
| Abstract |
Mount St. Helens over time (1973, 1983, and 2000) via the Landsat satellites. Scientists can see how the local area is healing after the 1980 eruption of the volcano. |
| Completed |
2001-04-12 |
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Olympic National Forest Land
| Title |
Olympic National Forest Land Use: September, 1987, to September, 1995 |
| Abstract |
Zoom down to Olympic National Forest and dissolve from September 1987 (height of clear cuts) to September 1995 (most recent and most recovered image). |
| Completed |
1999-04-09 |
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Landsat 7 Rotation around Wa
| Title |
Landsat 7 Rotation around Washington DC |
| Completed |
1999-06-10 |
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Landsat 7 Zoom Down to Washi
| Title |
Landsat 7 Zoom Down to Washington DC |
| Completed |
1999-06-10 |
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Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC Area. |
| Abstract |
Here we see an image of the Washington, D.C. area taken with the Landsat satellite. The dates of the images are from 1986, 1990, 1996, and 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
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Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC Area. |
| Abstract |
Here we see an image of the Washington, D.C. area taken with the Landsat satellite. The dates of the images are from 1986, 1990, 1996, and 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
|
Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC Area. |
| Abstract |
Here we see an image of the Washington, D.C. area taken with the Landsat satellite. The dates of the images are from 1986, 1990, 1996, and 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
|
Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC Area. |
| Abstract |
Here we see an image of the Washington, D.C. area taken with the Landsat satellite. The dates of the images are from 1986, 1990, 1996, and 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
|
Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC Area. |
| Abstract |
Here we see an image of the Washington, D.C. area taken with the Landsat satellite. The dates of the images are from 1986, 1990, 1996, and 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
|
Impervious Data of the Washi
| Title |
Impervious Data of the Washington, DC Area. |
| Abstract |
Here we see an image of the Washington, D.C. area taken with the Landsat satellite. The dates of the images are from 1986, 1990, 1996, and 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. |
| Completed |
2002-08-20 |
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DC Still at 15 Meter Resolut
| Title |
DC Still at 15 Meter Resolution |
| Completed |
1999-08-14 |
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DC Still at 30 Meter Resolut
| Title |
DC Still at 30 Meter Resolution Using Bands 321 |
| Completed |
1999-08-14 |
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Growth of Washington D.C. Me
| Title |
Growth of Washington D.C. Metro Area: Largo, MD |
| Abstract |
1973 - 1985 = Red, 1985 - 1990 = Yellow, 1990 - 1996 = Blue |
| Completed |
1999-04-09 |
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Digital Earth Workbench: Zoo
| Title |
Digital Earth Workbench: Zoom Down to Washington D.C. |
| Abstract |
The Digital Earth Workbench is an interactive application that runs on a SGI Onyx Infinite Reality system and is controlled by an Immersive Workbench, tracked stereo glasses, and a tracked wand. The application allows an unprecedented freedom to roam georeferenced datasets at multiple resolutions and timescales. This animation is one of a series of direct creen captures of the application in operation. The occasional menu appearance denotes direct intervention by the operator to add or delete data or to activate a new control option. |
| Completed |
1999-11-12 |
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Impervious Surface Cover: Pa
| Title |
Impervious Surface Cover: Paved Areas in DC and Baltimore |
| Abstract |
A special algorithm has been applied to the Landsat 7 image to illuminate the changes in low-density residential land use which exemplify sprawl. There is a link between impervious surfaces within a watershed, (here we see a subset of the Chesapeake Bay watershed area) and the water quality within the watershed. In general, once 10-15 % of an area is covered by impervious surfaces, increased sediments and chemical pollutants in runoff have a measurable effect on water quality. When 15-25% of a watershed is paved or impervious to drainage, increased runoff leads to reduced oxygen levels and impaired stream life. When more then 25% of surfaces are paved, many types of stream life die from the concentrated runoff and sediments. |
| Completed |
2001-06-20 |
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Impervious Surface Cover: Pa
| Title |
Impervious Surface Cover: Paved Areas in DC and Baltimore |
| Abstract |
A special algorithm has been applied to the Landsat 7 image to illuminate the changes in low-density residential land use which exemplify sprawl. There is a link between impervious surfaces within a watershed, (here we see a subset of the Chesapeake Bay watershed area) and the water quality within the watershed. In general, once 10-15 % of an area is covered by impervious surfaces, increased sediments and chemical pollutants in runoff have a measurable effect on water quality. When 15-25% of a watershed is paved or impervious to drainage, increased runoff leads to reduced oxygen levels and impaired stream life. When more then 25% of surfaces are paved, many types of stream life die from the concentrated runoff and sediments. |
| Completed |
2001-06-20 |
|
Impervious Surface Cover: Pa
| Title |
Impervious Surface Cover: Paved Areas in DC and Baltimore |
| Abstract |
A special algorithm has been applied to the Landsat 7 image to illuminate the changes in low-density residential land use which exemplify sprawl. There is a link between impervious surfaces within a watershed, (here we see a subset of the Chesapeake Bay watershed area) and the water quality within the watershed. In general, once 10-15 % of an area is covered by impervious surfaces, increased sediments and chemical pollutants in runoff have a measurable effect on water quality. When 15-25% of a watershed is paved or impervious to drainage, increased runoff leads to reduced oxygen levels and impaired stream life. When more then 25% of surfaces are paved, many types of stream life die from the concentrated runoff and sediments. |
| Completed |
2001-06-20 |
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Urban Growth: Portland, Oreg
| Title |
Urban Growth: Portland, Oregon |
| Abstract |
Using the Landsat satellite, scientists are able to study the urban sprawl of major cities. Red dots in these images indicate areas of growth between 1986 and 1996. |
| Completed |
2000-02-21 |
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Urban Growth: Washington, Di
| Title |
Urban Growth: Washington, District of Columbia |
| Completed |
2000-02-21 |
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Urban Growth: Washington, Di
| Title |
Urban Growth: Washington, District of Columbia |
| Completed |
2000-02-21 |
|
Great Zoom into Washington,
| Title |
Great Zoom into Washington, DC: NASA Headquarters |
| Abstract |
Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2001-08-03 |
|
Great Zoom into Washington,
| Title |
Great Zoom into Washington, DC: NASA Headquarters |
| Abstract |
Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2001-08-03 |
|
Great Zoom into Washington,
| Title |
Great Zoom into Washington, DC: NASA Headquarters |
| Abstract |
Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2001-08-03 |
|
Great Zoom into Washington,
| Title |
Great Zoom into Washington, DC: NASA Headquarters |
| Abstract |
Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2001-08-03 |
|
Great Zoom into Washington,
| Title |
Great Zoom into Washington, DC: NASA Headquarters |
| Abstract |
Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2001-08-03 |
|
Great Zoom into Washington,
| Title |
Great Zoom into Washington, DC: NASA Headquarters |
| Abstract |
Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2001-08-03 |
|
Great Zoom into Washington,
| Title |
Great Zoom into Washington, DC: NASA Headquarters |
| Abstract |
Using data from different spacecraft and some powerful computer technology, visualizers at the Goddard Space Flight Center present you with a collection of American cities in a way you have never seen them before. Starting with our camera high above the Earth, we rush in towards the surface at what would be an impossible speed for any known vehicle. Passing though layers of atmosphere, the colors of our destinations shimmer with their own unique characteristics, and suddenly we find ourselves floating in virtual space just above the ground. |
| Completed |
2001-08-03 |
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Urban Growth: Reston and Ste
| Title |
Urban Growth: Reston and Sterling, VA |
| Completed |
2000-02-21 |
|
Urban Growth: Reston and Ste
| Title |
Urban Growth: Reston and Sterling, VA |
| Completed |
2000-02-21 |
|
Ocean Planet: Partial Tour w
| Title |
Ocean Planet: Partial Tour with Map Route Inset |
| Abstract |
The Ocean Planet is a traveling exhibition from the Smithsonian Institution which opened in Washington DC on April 22, 1995. A part of the exhibition was a computer flyby of the Pacific Ocean developed in the SVS. This animation represents a stage in the development of that flyby. |
| Completed |
1994-04-29 |
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Growth of Washington D.C. Me
| Title |
Growth of Washington D.C. Metro Area: Flyover from DC to Laurel |
| Abstract |
1973 - 1985 = Red, 1985 - 1990 = Yellow, 1990 - 1996 = Blue |
| Completed |
1999-04-09 |
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Mount St. Helens Before, Dur
| Title |
Mount St. Helens Before, During, and After (WMS) |
| Abstract |
Mount St. Helens erupted on May 18, 1980, devastating more than 150 square miles of forest in southwestern Washington state. This animation shows Landsat images of the Mount St. Helens area in 1973, 1983, and 2000, illustrating the destruction and regrowth of the forest. The 1983 image clearly shows the new crater on the northern slope where the eruption occurred, the rivers and lakes covered with ash, and the regions of deforestation. The 2000 image, taken twenty years after the eruption, still shows the changed crater, but much of the devastated area is covered by new vegetation growth. |
| Completed |
2005-03-02 |
|
Mount St. Helens Before, Dur
| Title |
Mount St. Helens Before, During, and After (WMS) |
| Abstract |
Mount St. Helens erupted on May 18, 1980, devastating more than 150 square miles of forest in southwestern Washington state. This animation shows Landsat images of the Mount St. Helens area in 1973, 1983, and 2000, illustrating the destruction and regrowth of the forest. The 1983 image clearly shows the new crater on the northern slope where the eruption occurred, the rivers and lakes covered with ash, and the regions of deforestation. The 2000 image, taken twenty years after the eruption, still shows the changed crater, but much of the devastated area is covered by new vegetation growth. |
| Completed |
2005-03-02 |
|
Mount St. Helens Before, Dur
| Title |
Mount St. Helens Before, During, and After (WMS) |
| Abstract |
Mount St. Helens erupted on May 18, 1980, devastating more than 150 square miles of forest in southwestern Washington state. This animation shows Landsat images of the Mount St. Helens area in 1973, 1983, and 2000, illustrating the destruction and regrowth of the forest. The 1983 image clearly shows the new crater on the northern slope where the eruption occurred, the rivers and lakes covered with ash, and the regions of deforestation. The 2000 image, taken twenty years after the eruption, still shows the changed crater, but much of the devastated area is covered by new vegetation growth. |
| Completed |
2005-03-02 |
|
Mount St. Helens Before, Dur
| Title |
Mount St. Helens Before, During, and After (WMS) |
| Abstract |
Mount St. Helens erupted on May 18, 1980, devastating more than 150 square miles of forest in southwestern Washington state. This animation shows Landsat images of the Mount St. Helens area in 1973, 1983, and 2000, illustrating the destruction and regrowth of the forest. The 1983 image clearly shows the new crater on the northern slope where the eruption occurred, the rivers and lakes covered with ash, and the regions of deforestation. The 2000 image, taken twenty years after the eruption, still shows the changed crater, but much of the devastated area is covered by new vegetation growth. |
| Completed |
2005-03-02 |
|
Growth of Washington D.C. Me
| Title |
Growth of Washington D.C. Metro Area: Dulles, VA (ROY Scheme) |
| Abstract |
1973 - 1985 = Red, 1985 - 1990 = Orange, 1990 - 1996 = Yellow |
| Completed |
1999-04-09 |
|
Olympic Peninsula Time Lapse
| Title |
Olympic Peninsula Time Lapse with Park Boundaries: Dissolve through different dates |
| Abstract |
The four large scenes show the Olympic Peninsula in northwestern Washington State, centered on the Olympic National Park and the national and state forests immediately surrounding the national park. Mount Olympus dominates the scene with its (usually) snow-capped peaks. Clear cutting in the national and state forests around the national park was well underway at the time of the first Landsat scene. In the late 1980s, public land use policies changed and clear cutting by the timber industry migrated from public lands to private land holdings predominately to the south of the national park. Clear cutting shows as red patches around the perimeter of the essentialy pristine dark green of the national park. A set of close-up scenes showing a one mile square area to the northwest of the National Park is also available (see animation 900). North is up in all these images. The Landsat scenes use Thematic Mapper data from bands 5, 4, and 2 displayed as red, green, and blue respectively. In this colour scheme, dense conifer coverage appears dark green, bare soil or cultivated land appears reddish, while the light blue on the peaks of mountains and ridges is snow. |
| Completed |
1999-04-09 |
|
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