|
|
Six Annotated Datasets Pull
| Title |
Six Annotated Datasets Pull Away from a Single Globe |
| Completed |
1999-11-10 |
|
ICESat First Light Release:
| Title |
ICESat First Light Release: A Global Perspective |
| Abstract |
Criss-crossing the world below at nearly 17,000 miles per hour, ICESat is measuring the Earth from space with unprecedented accuracy. ICESAT measures the Earth by shining pulses of green and infrared light from one of its three onboard lasers. Although the major goal of ICESAT's mission is to observe ice near the poles, the satellite takes measurements continuously around the entire globe, providing valuable information about our planet's clouds, oceans, mountains, forests, and fields. |
| Completed |
2003-05-15 |
|
ICESat First Light Release:
| Title |
ICESat First Light Release: A Global Perspective |
| Abstract |
Criss-crossing the world below at nearly 17,000 miles per hour, ICESat is measuring the Earth from space with unprecedented accuracy. ICESAT measures the Earth by shining pulses of green and infrared light from one of its three onboard lasers. Although the major goal of ICESAT's mission is to observe ice near the poles, the satellite takes measurements continuously around the entire globe, providing valuable information about our planet's clouds, oceans, mountains, forests, and fields. |
| Completed |
2003-05-15 |
|
ICESat First Light Release:
| Title |
ICESat First Light Release: A Global Perspective |
| Abstract |
Criss-crossing the world below at nearly 17,000 miles per hour, ICESat is measuring the Earth from space with unprecedented accuracy. ICESAT measures the Earth by shining pulses of green and infrared light from one of its three onboard lasers. Although the major goal of ICESAT's mission is to observe ice near the poles, the satellite takes measurements continuously around the entire globe, providing valuable information about our planet's clouds, oceans, mountains, forests, and fields. |
| Completed |
2003-05-15 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
Fires over Europe during 200
| Title |
Fires over Europe during 2001 and 2002 |
| Abstract |
This animation shows fire activity over Europe from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. |
| Completed |
2002-08-26 |
|
Fires over Europe during 200
| Title |
Fires over Europe during 2001 and 2002 |
| Abstract |
This animation shows fire activity over Europe from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. |
| Completed |
2002-08-26 |
|
Dhaka, Bangladesh Urban Grow
| Title |
Dhaka, Bangladesh Urban Growth |
| Abstract |
The population of Dhaka, Bangladesh grew in size considerably between 1972 and 2001. This 'urban growth' can be easily seen through various Landsat satellite images over time. |
| Completed |
2001-12-12 |
|
Dhaka, Bangladesh Urban Grow
| Title |
Dhaka, Bangladesh Urban Growth |
| Abstract |
The population of Dhaka, Bangladesh grew in size considerably between 1972 and 2001. This 'urban growth' can be easily seen through various Landsat satellite images over time. |
| Completed |
2001-12-12 |
|
Dhaka, Bangladesh Urban Grow
| Title |
Dhaka, Bangladesh Urban Growth |
| Abstract |
The population of Dhaka, Bangladesh grew in size considerably between 1972 and 2001. This 'urban growth' can be easily seen through various Landsat satellite images over time. |
| Completed |
2001-12-12 |
|
Dhaka, Bangladesh Urban Grow
| Title |
Dhaka, Bangladesh Urban Growth |
| Abstract |
The population of Dhaka, Bangladesh grew in size considerably between 1972 and 2001. This 'urban growth' can be easily seen through various Landsat satellite images over time. |
| Completed |
2001-12-12 |
|
Dhaka, Bangladesh Urban Grow
| Title |
Dhaka, Bangladesh Urban Growth |
| Abstract |
The population of Dhaka, Bangladesh grew in size considerably between 1972 and 2001. This 'urban growth' can be easily seen through various Landsat satellite images over time. |
| Completed |
2001-12-12 |
|
Great Zoom into Salt Lake Ci
| Title |
Great Zoom into Salt Lake City, UT: Rice-Eccles Olympic Stadium (with Spin) |
| 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 |
2002-02-01 |
|
Great Zoom into Salt Lake Ci
| Title |
Great Zoom into Salt Lake City, UT: Rice-Eccles Olympic Stadium (with Spin) |
| 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 |
2002-02-01 |
|
True Color MODIS Albedo imag
| Title |
True Color MODIS Albedo image improves Climate Modeling |
| Abstract |
The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. |
| Completed |
2002-07-01 |
|
True Color MODIS Albedo imag
| Title |
True Color MODIS Albedo image improves Climate Modeling |
| Abstract |
The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. |
| Completed |
2002-07-01 |
|
True Color MODIS Albedo imag
| Title |
True Color MODIS Albedo image improves Climate Modeling |
| Abstract |
The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. |
| Completed |
2002-07-01 |
|
Global Shortwave from CERES
| Title |
Global Shortwave from CERES |
| Abstract |
CERES stands for Clouds and the Earth's Radiant Energy System. More information about CERES can be found at (http://terra.nasa.gov/Brochure/Sect_4-3.html) and (http://asd-www.larc.nasa.gov/ceres/brochure/intro.html). |
| Completed |
2000-04-19 |
|
Shortwave from CERES Unwrapp
| Title |
Shortwave from CERES Unwrapped |
| Abstract |
CERES stands for Clouds and the Earth's Radiant Energy System. More information about CERES can be found at (http://terra.nasa.gov/Brochure/Sect_4-3.html) and (http://asd-www.larc.nasa.gov/ceres/brochure/intro.html). |
| Completed |
2000-04-19 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Wide) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a wide area of the United States. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Wide) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a wide area of the United States. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Wide) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a wide area of the United States. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Wide) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a wide area of the United States. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Wide) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a wide area of the United States. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Wide) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a wide area of the United States. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
Creating the Tamarisk Habita
| Title |
Creating the Tamarisk Habitat Suitability Map (for General Use) |
| Abstract |
The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with landcover classification data the likely habitat for Tamarisk can be derived. |
| Completed |
2006-01-25 |
|
Creating the Tamarisk Habita
| Title |
Creating the Tamarisk Habitat Suitability Map (for General Use) |
| Abstract |
The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with landcover classification data the likely habitat for Tamarisk can be derived. |
| Completed |
2006-01-25 |
|
Creating the Tamarisk Habita
| Title |
Creating the Tamarisk Habitat Suitability Map (for General Use) |
| Abstract |
The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with landcover classification data the likely habitat for Tamarisk can be derived. |
| Completed |
2006-01-25 |
|
Creating the Tamarisk Habita
| Title |
Creating the Tamarisk Habitat Suitability Map (for General Use) |
| Abstract |
The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with landcover classification data the likely habitat for Tamarisk can be derived. |
| Completed |
2006-01-25 |
|
Blue Marble - A Seamless Ima
| Title |
Blue Marble - A Seamless Image Mosaic of the Earth (WMS) |
| Abstract |
This spectacular 'Blue Marble' image is the most detailed true-color image of the entire Earth to date. Using a collection of satellite-based observations, scientists and visualizers stitched together months of observations of the land surface, oceans, sea ice, and clouds into a seamless, true-color mosaic of every square kilometer (.386 square mile) of our planet. Much of the information contained in this image came from a single remote-sensing device-NASA's Moderate Resolution Imaging Spectroradiometer, or MODIS. Flying over 700 km above the Earth onboard the Terra satellite, MODIS provides an integrated tool for observing a variety of terrestrial, oceanic, and atmospheric features of the Earth. The land and coastal ocean portions of these images are based on surface observations collected from June through September 2001 and combined, or composited, every eight days to compensate for clouds that might block the sensor's view of the surface on any single day. Two different types of ocean data were used in these images: shallow water true color data, and global ocean color (or chlorophyll) data. Topographic shading is based on the GTOPO 30 elevation dataset compiled by the U.S. Geological Survey's EROS Data Center. |
| Completed |
2004-02-16 |
|
Blue Marble - A Seamless Ima
| Title |
Blue Marble - A Seamless Image Mosaic of the Earth (WMS) |
| Abstract |
This spectacular 'Blue Marble' image is the most detailed true-color image of the entire Earth to date. Using a collection of satellite-based observations, scientists and visualizers stitched together months of observations of the land surface, oceans, sea ice, and clouds into a seamless, true-color mosaic of every square kilometer (.386 square mile) of our planet. Much of the information contained in this image came from a single remote-sensing device-NASA's Moderate Resolution Imaging Spectroradiometer, or MODIS. Flying over 700 km above the Earth onboard the Terra satellite, MODIS provides an integrated tool for observing a variety of terrestrial, oceanic, and atmospheric features of the Earth. The land and coastal ocean portions of these images are based on surface observations collected from June through September 2001 and combined, or composited, every eight days to compensate for clouds that might block the sensor's view of the surface on any single day. Two different types of ocean data were used in these images: shallow water true color data, and global ocean color (or chlorophyll) data. Topographic shading is based on the GTOPO 30 elevation dataset compiled by the U.S. Geological Survey's EROS Data Center. |
| Completed |
2004-02-16 |
|
Blue Marble - A Seamless Ima
| Title |
Blue Marble - A Seamless Image Mosaic of the Earth (WMS) |
| Abstract |
This spectacular 'Blue Marble' image is the most detailed true-color image of the entire Earth to date. Using a collection of satellite-based observations, scientists and visualizers stitched together months of observations of the land surface, oceans, sea ice, and clouds into a seamless, true-color mosaic of every square kilometer (.386 square mile) of our planet. Much of the information contained in this image came from a single remote-sensing device-NASA's Moderate Resolution Imaging Spectroradiometer, or MODIS. Flying over 700 km above the Earth onboard the Terra satellite, MODIS provides an integrated tool for observing a variety of terrestrial, oceanic, and atmospheric features of the Earth. The land and coastal ocean portions of these images are based on surface observations collected from June through September 2001 and combined, or composited, every eight days to compensate for clouds that might block the sensor's view of the surface on any single day. Two different types of ocean data were used in these images: shallow water true color data, and global ocean color (or chlorophyll) data. Topographic shading is based on the GTOPO 30 elevation dataset compiled by the U.S. Geological Survey's EROS Data Center. |
| Completed |
2004-02-16 |
|
Terra/MODIS Rapid-Response F
| Title |
Terra/MODIS Rapid-Response Fires: Life of the Blue Complex Fire |
| Abstract |
Animation starts with the 8/13/01 true color MODIS image and then zooms down to the Blue Complex fire. It then cycles through the life of the Blue Complex fire starting on 8/13/01, ending on 8/18/01 (using false color data - bands: 1, 2, 3) when it was finally contained. Active fires are shown in orange and yellow. Burn scars are shown in black and gray. |
| Completed |
2001-08-20 |
|
Terra/MODIS Rapid-Response F
| Title |
Terra/MODIS Rapid-Response Fires: Life of the Blue Complex Fire |
| Abstract |
Animation starts with the 8/13/01 true color MODIS image and then zooms down to the Blue Complex fire. It then cycles through the life of the Blue Complex fire starting on 8/13/01, ending on 8/18/01 (using false color data - bands: 1, 2, 3) when it was finally contained. Active fires are shown in orange and yellow. Burn scars are shown in black and gray. |
| Completed |
2001-08-20 |
|
Terra/MODIS Rapid-Response F
| Title |
Terra/MODIS Rapid-Response Fires: Life of the Blue Complex Fire |
| Abstract |
Animation starts with the 8/13/01 true color MODIS image and then zooms down to the Blue Complex fire. It then cycles through the life of the Blue Complex fire starting on 8/13/01, ending on 8/18/01 (using false color data - bands: 1, 2, 3) when it was finally contained. Active fires are shown in orange and yellow. Burn scars are shown in black and gray. |
| Completed |
2001-08-20 |
|
Terra/MODIS Rapid-Response F
| Title |
Terra/MODIS Rapid-Response Fires: Life of the Blue Complex Fire |
| Abstract |
Animation starts with the 8/13/01 true color MODIS image and then zooms down to the Blue Complex fire. It then cycles through the life of the Blue Complex fire starting on 8/13/01, ending on 8/18/01 (using false color data - bands: 1, 2, 3) when it was finally contained. Active fires are shown in orange and yellow. Burn scars are shown in black and gray. |
| Completed |
2001-08-20 |
|
Terra/MODIS Rapid-Response F
| Title |
Terra/MODIS Rapid-Response Fires: Life of the Blue Complex Fire |
| Abstract |
Animation starts with the 8/13/01 true color MODIS image and then zooms down to the Blue Complex fire. It then cycles through the life of the Blue Complex fire starting on 8/13/01, ending on 8/18/01 (using false color data - bands: 1, 2, 3) when it was finally contained. Active fires are shown in orange and yellow. Burn scars are shown in black and gray. |
| Completed |
2001-08-20 |
|
Terra/MODIS Rapid-Response F
| Title |
Terra/MODIS Rapid-Response Fires: Life of the Blue Complex Fire |
| Abstract |
Animation starts with the 8/13/01 true color MODIS image and then zooms down to the Blue Complex fire. It then cycles through the life of the Blue Complex fire starting on 8/13/01, ending on 8/18/01 (using false color data - bands: 1, 2, 3) when it was finally contained. Active fires are shown in orange and yellow. Burn scars are shown in black and gray. |
| Completed |
2001-08-20 |
|
SC2002 Intro
| Title |
SC2002 Intro |
| Abstract |
Introductory animation for the SuperComputing (SC) 2002 Conference Video. SC2002 will be held in Baltimore, MD from Nov. 16-22. The title of the conference is 'From Terabytes to Insights'. This conceptual animation shows the SeaStar satellite collecting data and transmitting its data down to a ground station somewhere on the east coast. The network of lines seen on the United States outlines the Abilene network backbone, symbolizing the massive amount of data sharing attributed by just one satellite. |
| Completed |
2002-08-15 |
|
SC2002 Intro
| Title |
SC2002 Intro |
| Abstract |
Introductory animation for the SuperComputing (SC) 2002 Conference Video. SC2002 will be held in Baltimore, MD from Nov. 16-22. The title of the conference is 'From Terabytes to Insights'. This conceptual animation shows the SeaStar satellite collecting data and transmitting its data down to a ground station somewhere on the east coast. The network of lines seen on the United States outlines the Abilene network backbone, symbolizing the massive amount of data sharing attributed by just one satellite. |
| Completed |
2002-08-15 |
|
SC2002 Intro
| Title |
SC2002 Intro |
| Abstract |
Introductory animation for the SuperComputing (SC) 2002 Conference Video. SC2002 will be held in Baltimore, MD from Nov. 16-22. The title of the conference is 'From Terabytes to Insights'. This conceptual animation shows the SeaStar satellite collecting data and transmitting its data down to a ground station somewhere on the east coast. The network of lines seen on the United States outlines the Abilene network backbone, symbolizing the massive amount of data sharing attributed by just one satellite. |
| Completed |
2002-08-15 |
|
Great Zoom out of Greenbelt,
| Title |
Great Zoom out of Greenbelt, MD: NASA Goddard Space Flight Center |
| 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 out of Greenbelt,
| Title |
Great Zoom out of Greenbelt, MD: NASA Goddard Space Flight Center |
| 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 out of Greenbelt,
| Title |
Great Zoom out of Greenbelt, MD: NASA Goddard Space Flight Center |
| 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 out of Greenbelt,
| Title |
Great Zoom out of Greenbelt, MD: NASA Goddard Space Flight Center |
| 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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