|
|
Aerosols from Earth Probe TO
…
| Title |
Aerosols from Earth Probe TOMS: Still of U.S. and Mexico taken at 5/16/98 |
| Completed |
1998-12-07 |
|
Hurricane Regions Indicated
…
| Title |
Hurricane Regions Indicated by Sea Surface Temperature from June 2002 to September 2003 (WMS) |
| Abstract |
The temperature of the world's ocean surface provides a clear indication of the regions where hurricanes and typhoons form, since they can only form when the sea surface temperature exceeds 82 degrees F (27.8 degrees C). The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. In this visualization of AMSR-E data covering the period from June, 2002, to September, 2003, areas with surface temperatures greater than 82 degrees F are shown in yellow and orange, while sea surface temperatures below 82 degrees F are shown in blue. The region in the Atlantic from the Caribbean to the equator only exceeds the critical temperature during late summer and early fall in the Northern Hemisphere, the period known as Hurricane Season. It is also possible to see the Gulf Stream, the warm river of water that parallels the east coast of the United States before heading towards northern Europe, in this data. Around January 1, 2003, a cooler than normal region of the ocean appears just to the west of Peru as part of an La Nina and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves and can also be seen in the equatorial Atlantic Ocean about the same time. |
| Completed |
2004-02-12 |
|
Hurricane Regions Indicated
…
| Title |
Hurricane Regions Indicated by Sea Surface Temperature from June 2002 to September 2003 (WMS) |
| Abstract |
The temperature of the world's ocean surface provides a clear indication of the regions where hurricanes and typhoons form, since they can only form when the sea surface temperature exceeds 82 degrees F (27.8 degrees C). The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. In this visualization of AMSR-E data covering the period from June, 2002, to September, 2003, areas with surface temperatures greater than 82 degrees F are shown in yellow and orange, while sea surface temperatures below 82 degrees F are shown in blue. The region in the Atlantic from the Caribbean to the equator only exceeds the critical temperature during late summer and early fall in the Northern Hemisphere, the period known as Hurricane Season. It is also possible to see the Gulf Stream, the warm river of water that parallels the east coast of the United States before heading towards northern Europe, in this data. Around January 1, 2003, a cooler than normal region of the ocean appears just to the west of Peru as part of an La Nina and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves and can also be seen in the equatorial Atlantic Ocean about the same time. |
| Completed |
2004-02-12 |
|
Southeast Coast SeaWiFS True
…
| Title |
Southeast Coast SeaWiFS True Color Stills: Cape Hatteras to Jacksonville |
| Completed |
1998-09-09 |
|
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 |
|
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 |
|
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 |
|
Sea Surface Temperature and
…
| Title |
Sea Surface Temperature and Hurricane Connections: TRMM - August 22, 1998 through September 3, 1998 |
| Abstract |
For years scientists have known of the strong correlation between sea surface temperature and the intensity of hurricanes. But one of the major stumbling blocks for forecasters has been the precise measurement of those temperatures when a storm begins to form. Traditional techniques for sea surface temperature measurement can not see through clouds. Now researchers using the TRMM (Tropical Rainfall Measuring Mission) satellite have developed a technique for looking through clouds that is likely to enhance forecasters' abilities to predict hurricane intensity before their massive energies fully develop. A hurricane gathers energy from warm waters found in tropical latitudes. As Hurricane Bonnie crosses the Atlantic, it leaves a cooler trail of water in its wake. As Hurricane Danielle crosses Bonnie's path, the wind speed of the second storm drops markedly, as available energy to fuel the storm's engine drops off. As Danielle crosses Bonnie's wake, however, winds speeds increase due to temperature increases in surface water around the storm. |
| Completed |
2000-05-03 |
|
Sea Surface Temperature and
…
| Title |
Sea Surface Temperature and Hurricane Connections: TRMM - August 22, 1998 through September 3, 1998 |
| Abstract |
For years scientists have known of the strong correlation between sea surface temperature and the intensity of hurricanes. But one of the major stumbling blocks for forecasters has been the precise measurement of those temperatures when a storm begins to form. Traditional techniques for sea surface temperature measurement can not see through clouds. Now researchers using the TRMM (Tropical Rainfall Measuring Mission) satellite have developed a technique for looking through clouds that is likely to enhance forecasters' abilities to predict hurricane intensity before their massive energies fully develop. A hurricane gathers energy from warm waters found in tropical latitudes. As Hurricane Bonnie crosses the Atlantic, it leaves a cooler trail of water in its wake. As Hurricane Danielle crosses Bonnie's path, the wind speed of the second storm drops markedly, as available energy to fuel the storm's engine drops off. As Danielle crosses Bonnie's wake, however, winds speeds increase due to temperature increases in surface water around the storm. |
| Completed |
2000-05-03 |
|
Pan Around the Washington DC
…
| Title |
Pan Around the Washington DC Mall |
| Abstract |
A brief tour of the Washington, DC mall as seen by the IKONOS satellite. The tour starts at the Capitol building (the end point of the DC Zoom-in) and moves down the Mall, passing the Washinton Monument and reaching the Lincoln Memorial. From there it turns southeast over the tidal basin to the Jefferson Memorial and finally turns north, passing back over the Washington Monument before ending at the White House. |
| Completed |
2001-04-09 |
|
United States Precipitation
…
| Title |
United States Precipitation Anomalies: 1900-1988 |
| Abstract |
Global land precipitation has increased during the 20th century, especially at the mid and high latitudes, according to a paper published in the November 1997 issue of the Journal of Climate. The paper, written by scientists Drs. Inez Fung, Anthony Del Genio, and Aiguo Dai, is based on a recalibrated compilation and analysis of data from 1900-1988 and confirms previous speculation that land precipitation is increasing. The new research shows a global land trend of a 2.4 mm per decade increase in annual precipitation amounts. Multiplied by almost nine decades, this means that there is about 22 mm more rain falling now each year than there was at the turn of the century -- rainfall as a global mean has risen by slightly more than two percent. |
| Completed |
1998-01-01 |
|
GOES-12 Imagery of Hurricane
…
| Title |
GOES-12 Imagery of Hurricane Katrina: Longwave Infrared Progression (WMS) |
| Abstract |
The GOES-12 satellite sits at 75 degrees west longitude at an altitude of 36,000 kilometers over the equator, in geosynchronous orbit. At this position its Imager instrument takes pictures of cloud patterns in several wavelengths for all of North and South America, a primary measurement used in weather forecasting. The Imager takes a pattern of pictures of parts of the Earth in several wavelengths all day, measurements that are vital in weather forcasting. This animation shows a four-day sequence of GOES-12 images in the longwave infrared wavelengths, from 10.2 to 11.2 microns, during the period that Hurricane Katrina passed through the Gulf of Mexico. This wavelength band is the most common one for observing cloud motions and severe storms throughout the day and night. Note that most of the images are taken over the United States (about every 5 minutes) with full disk images every 3 hours and several specific images over South America every day. In this animation, new images are placed over old images rather than replacing them, so different parts of the image update at different times as measurements are taken. |
| Completed |
2005-08-29 |
|
GOES-12 Imagery of Hurricane
…
| Title |
GOES-12 Imagery of Hurricane Katrina: Longwave Infrared Overview (WMS) |
| Abstract |
The GOES-12 satellite sits at 75 degrees west longitude at an altitude of 36,000 kilometers over the equator, in geosynchronous orbit. At this position its Imager instrument takes pictures of cloud patterns in several wavelengths for all of North and South America, a primary measurement used in weather forecasting. The Imager takes a pattern of pictures of parts of the Earth in several wavelengths all day, measurements that are vital in weather forecasting. This animation shows a four-day sequence of GOES-12 images in the longwave infrared wavelengths, from 10.2 to 11.2 microns, during the period that Hurricane Katrina passed through the Gulf of Mexico. This wavelength band is the most common one for observing cloud motions and severe storms throughout the day and night. Note that most of the images are taken over the United States (about every 5 minutes) with full disk images every 3 hours and several specific images over South America every day. |
| Completed |
2005-08-29 |
|
Tectonic Plates and Plate Bo
…
| Title |
Tectonic Plates and Plate Boundaries (WMS) |
| Abstract |
The Earth's crust is constantly in motion. Sections of the crust, called plates, push against each other due to forces from the molten interior of the Earth. The areas where these plates collide often have increased volcanic and earthquake activity. These images show the locations of the plates and their boundaries in the Earth's crust. Convergent boundaries are areas where two plates are pushing against each other and one plate may be subducting under another. Divergent boundaries have two plates pulling away from each other and indicate regions where new land could be created. Transform boundaries are places where two plates are sliding against each other in opposite directions, and diffuse boundaries are places where two plates have the same relative motion. Numerous small microplates have been omitted from the plate image. These images have been derived from images made available by the United States Geological Survey's Earthquake Hazards Program. |
| Completed |
2004-06-14 |
|
Tectonic Plates and Plate Bo
…
| Title |
Tectonic Plates and Plate Boundaries (WMS) |
| Abstract |
The Earth's crust is constantly in motion. Sections of the crust, called plates, push against each other due to forces from the molten interior of the Earth. The areas where these plates collide often have increased volcanic and earthquake activity. These images show the locations of the plates and their boundaries in the Earth's crust. Convergent boundaries are areas where two plates are pushing against each other and one plate may be subducting under another. Divergent boundaries have two plates pulling away from each other and indicate regions where new land could be created. Transform boundaries are places where two plates are sliding against each other in opposite directions, and diffuse boundaries are places where two plates have the same relative motion. Numerous small microplates have been omitted from the plate image. These images have been derived from images made available by the United States Geological Survey's Earthquake Hazards Program. |
| Completed |
2004-06-14 |
|
Tectonic Plates and Plate Bo
…
| Title |
Tectonic Plates and Plate Boundaries (WMS) |
| Abstract |
The Earth's crust is constantly in motion. Sections of the crust, called plates, push against each other due to forces from the molten interior of the Earth. The areas where these plates collide often have increased volcanic and earthquake activity. These images show the locations of the plates and their boundaries in the Earth's crust. Convergent boundaries are areas where two plates are pushing against each other and one plate may be subducting under another. Divergent boundaries have two plates pulling away from each other and indicate regions where new land could be created. Transform boundaries are places where two plates are sliding against each other in opposite directions, and diffuse boundaries are places where two plates have the same relative motion. Numerous small microplates have been omitted from the plate image. These images have been derived from images made available by the United States Geological Survey's Earthquake Hazards Program. |
| Completed |
2004-06-14 |
|
Tectonic Plates and Plate Bo
…
| Title |
Tectonic Plates and Plate Boundaries (WMS) |
| Abstract |
The Earth's crust is constantly in motion. Sections of the crust, called plates, push against each other due to forces from the molten interior of the Earth. The areas where these plates collide often have increased volcanic and earthquake activity. These images show the locations of the plates and their boundaries in the Earth's crust. Convergent boundaries are areas where two plates are pushing against each other and one plate may be subducting under another. Divergent boundaries have two plates pulling away from each other and indicate regions where new land could be created. Transform boundaries are places where two plates are sliding against each other in opposite directions, and diffuse boundaries are places where two plates have the same relative motion. Numerous small microplates have been omitted from the plate image. These images have been derived from images made available by the United States Geological Survey's Earthquake Hazards Program. |
| Completed |
2004-06-14 |
|
Tectonic Plates and Plate Bo
…
| Title |
Tectonic Plates and Plate Boundaries (WMS) |
| Abstract |
The Earth's crust is constantly in motion. Sections of the crust, called plates, push against each other due to forces from the molten interior of the Earth. The areas where these plates collide often have increased volcanic and earthquake activity. These images show the locations of the plates and their boundaries in the Earth's crust. Convergent boundaries are areas where two plates are pushing against each other and one plate may be subducting under another. Divergent boundaries have two plates pulling away from each other and indicate regions where new land could be created. Transform boundaries are places where two plates are sliding against each other in opposite directions, and diffuse boundaries are places where two plates have the same relative motion. Numerous small microplates have been omitted from the plate image. These images have been derived from images made available by the United States Geological Survey's Earthquake Hazards Program. |
| Completed |
2004-06-14 |
|
Great Zoom out of Tucson, AZ
…
| Title |
Great Zoom out of Tucson, AZ: The University of Arizona Football Stadium |
| 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 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
China Dust Storm Pollutes Ai
…
| Title |
China Dust Storm Pollutes Air in the Eastern United States in April 2001 (Flatmap) |
| Abstract |
A large dust storm develops over China on April 6 and 7, 2001. This animation shows the dust moving over China, Russia, Japan, the Pacific Ocean, and Canada, settling over the United States. |
| Completed |
2004-06-10 |
|
Aerosols from Earth Probe TO
…
| Title |
Aerosols from Earth Probe TOMS: U.S. and Mexico from 4/1/98 to 5/26/98 (3 times @ 6 days/sec) |
| Completed |
1998-12-07 |
|
The Lights of Earth: Full Sp
…
| Title |
The Lights of Earth: Full Spin |
| Abstract |
The Lights of Earth can be seen from space. Human-made lights highlight particularly developed or populated areas of the Earth's surface, including the seaboards of Europe, the eastern United States, and Japan. Many large cities are located near rivers or oceans so that they can exchange goods cheaply by boat. Particularly dark areas include the central parts of South America, Africa, Asia, and Australia. The above image is actually a composite of hundreds of pictures made by the Defense Meteorological Satellite Program (DMSP) currently operates four satellites carrying the Operational Linescan System (OLS) in low-altitude polar orbits. Three of these satellites record nighttime data. The DMSP-OLS has a unique capability to detect low levels of visible-near infrared (VNIR) radiance at night. With the OLS 'VIS' band data it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas flares, and ephemeral events such as fires and lightning-illuminated clouds. The Nighttime Lights of the World data set is compiled from the October 1994 - March 1995 DMSP nighttime data collected when moonlight was low. Using the OLS thermal infrared band, areas containing clouds were removed and the remaining area used in the time series. |
| Completed |
2002-03-06 |
|
The Lights of Earth: Full Sp
…
| Title |
The Lights of Earth: Full Spin |
| Abstract |
The Lights of Earth can be seen from space. Human-made lights highlight particularly developed or populated areas of the Earth's surface, including the seaboards of Europe, the eastern United States, and Japan. Many large cities are located near rivers or oceans so that they can exchange goods cheaply by boat. Particularly dark areas include the central parts of South America, Africa, Asia, and Australia. The above image is actually a composite of hundreds of pictures made by the Defense Meteorological Satellite Program (DMSP) currently operates four satellites carrying the Operational Linescan System (OLS) in low-altitude polar orbits. Three of these satellites record nighttime data. The DMSP-OLS has a unique capability to detect low levels of visible-near infrared (VNIR) radiance at night. With the OLS 'VIS' band data it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas flares, and ephemeral events such as fires and lightning-illuminated clouds. The Nighttime Lights of the World data set is compiled from the October 1994 - March 1995 DMSP nighttime data collected when moonlight was low. Using the OLS thermal infrared band, areas containing clouds were removed and the remaining area used in the time series. |
| Completed |
2002-03-06 |
|
The Lights of Earth: Full Sp
…
| Title |
The Lights of Earth: Full Spin |
| Abstract |
The Lights of Earth can be seen from space. Human-made lights highlight particularly developed or populated areas of the Earth's surface, including the seaboards of Europe, the eastern United States, and Japan. Many large cities are located near rivers or oceans so that they can exchange goods cheaply by boat. Particularly dark areas include the central parts of South America, Africa, Asia, and Australia. The above image is actually a composite of hundreds of pictures made by the Defense Meteorological Satellite Program (DMSP) currently operates four satellites carrying the Operational Linescan System (OLS) in low-altitude polar orbits. Three of these satellites record nighttime data. The DMSP-OLS has a unique capability to detect low levels of visible-near infrared (VNIR) radiance at night. With the OLS 'VIS' band data it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas flares, and ephemeral events such as fires and lightning-illuminated clouds. The Nighttime Lights of the World data set is compiled from the October 1994 - March 1995 DMSP nighttime data collected when moonlight was low. Using the OLS thermal infrared band, areas containing clouds were removed and the remaining area used in the time series. |
| Completed |
2002-03-06 |
|
The Lights of Earth: Full Sp
…
| Title |
The Lights of Earth: Full Spin |
| Abstract |
The Lights of Earth can be seen from space. Human-made lights highlight particularly developed or populated areas of the Earth's surface, including the seaboards of Europe, the eastern United States, and Japan. Many large cities are located near rivers or oceans so that they can exchange goods cheaply by boat. Particularly dark areas include the central parts of South America, Africa, Asia, and Australia. The above image is actually a composite of hundreds of pictures made by the Defense Meteorological Satellite Program (DMSP) currently operates four satellites carrying the Operational Linescan System (OLS) in low-altitude polar orbits. Three of these satellites record nighttime data. The DMSP-OLS has a unique capability to detect low levels of visible-near infrared (VNIR) radiance at night. With the OLS 'VIS' band data it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas flares, and ephemeral events such as fires and lightning-illuminated clouds. The Nighttime Lights of the World data set is compiled from the October 1994 - March 1995 DMSP nighttime data collected when moonlight was low. Using the OLS thermal infrared band, areas containing clouds were removed and the remaining area used in the time series. |
| Completed |
2002-03-06 |
|
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