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Terra of Goddard Space Flight Center (GSFC) and United States of America
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Multi-Angle Views of the App
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| Description |
Multi-Angle Views of the Appalachian Mountains The true-color image at left is a downward-looking (nadir) view of the eastern United States, stretching from Lake Ontario to northern Georgia, and spanning the Appalachian Mountains. The three images to the right are also in true-color, taken by the forward 45.6-degree, 60.0-degree, and 70.5-degree cameras, respectively, of the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite. As the slant angle increases, the line- of-sight through the atmosphere grows longer, and a pall of haze over the Appalachians becomes progressively more apparent. You can see a similar effect by scanning from near-nadir to the horizon when standing on a mountain top or looking out an airplane window. MISR uses this multi-angle technique to monitor particulate pollution and to distinguish different types of haze. These observations reveal how airborne particles are interacting with sunlight, a measure of their impact on Earth's climate system. The images are about 400 km (250 miles) wide, and the spatial resolution is 1.1 kilometers (1,200 yards). North is toward the top. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology. ##### |
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A Fixed View of Hurricane Je
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| Title |
A Fixed View of Hurricane Jeanne's Progression |
| Abstract |
After days of hammering Haiti, Hurricane Jeanne heads towards the United States. |
| Completed |
2004-09-24 |
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A Fixed View of Hurricane Je
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| Title |
A Fixed View of Hurricane Jeanne's Progression |
| Abstract |
After days of hammering Haiti, Hurricane Jeanne heads towards the United States. |
| Completed |
2004-09-24 |
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A Fixed View of Hurricane Je
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| Title |
A Fixed View of Hurricane Jeanne's Progression |
| Abstract |
After days of hammering Haiti, Hurricane Jeanne heads towards the United States. |
| Completed |
2004-09-24 |
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Hurricane Jeanne on Septembe
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| Title |
Hurricane Jeanne on September 23, 2004 |
| Abstract |
After days of hammering Haiti, Hurricane Jeanne heads toward the United States. |
| Completed |
2004-09-24 |
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Hurricane Jeanne on Septembe
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| Title |
Hurricane Jeanne on September 23, 2004 |
| Abstract |
After days of hammering Haiti, Hurricane Jeanne heads toward the United States. |
| Completed |
2004-09-24 |
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Snow Covers Northeastern Uni
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| Title |
Snow Covers Northeastern United States on February 20, 2003 |
| Abstract |
Snow cover left from a storm front that came through from February 16 to February 17, 2003. |
| Completed |
2003-02-21 |
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Snow Covers Northeastern Uni
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| Title |
Snow Covers Northeastern United States on February 20, 2003 |
| Abstract |
Snow cover left from a storm front that came through from February 16 to February 17, 2003. |
| Completed |
2003-02-21 |
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Snow Covers Northeastern Uni
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| Title |
Snow Covers Northeastern United States on February 20, 2003 |
| Abstract |
Snow cover left from a storm front that came through from February 16 to February 17, 2003. |
| Completed |
2003-02-21 |
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Snow Covers Northeastern Uni
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| Title |
Snow Covers Northeastern United States on February 20, 2003 |
| Abstract |
Snow cover left from a storm front that came through from February 16 to February 17, 2003. |
| Completed |
2003-02-21 |
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National Map Showing Habitat
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| Title |
National Map Showing Habitat Suitability for Tamarisk Invasion |
| 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, to create on-demand, regional-scale assessments of invasive species likely habitats. Recent work on the Invasive Species Forecasting System (ISFS) project has shown the importance of remotely-sensed time-series data in geostatistical models for mapping the distribution of Tamarisk and other invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the continental United States. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas, New Mexico, and Nevada are the most highly suitable states. Utah and Arizona have the next greatest risk. California, Arizona, Montana, Colorado, Oregon, Ohio, Wyoming, and Florida also have a significant risk. |
| Completed |
2005-10-18 |
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National Map Showing Habitat
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| Title |
National Map Showing Habitat Suitability for Tamarisk Invasion |
| 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, to create on-demand, regional-scale assessments of invasive species likely habitats. Recent work on the Invasive Species Forecasting System (ISFS) project has shown the importance of remotely-sensed time-series data in geostatistical models for mapping the distribution of Tamarisk and other invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the continental United States. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas, New Mexico, and Nevada are the most highly suitable states. Utah and Arizona have the next greatest risk. California, Arizona, Montana, Colorado, Oregon, Ohio, Wyoming, and Florida also have a significant risk. |
| Completed |
2005-10-18 |
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National Map Showing Habitat
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| Title |
National Map Showing Habitat Suitability for Tamarisk Invasion |
| 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, to create on-demand, regional-scale assessments of invasive species likely habitats. Recent work on the Invasive Species Forecasting System (ISFS) project has shown the importance of remotely-sensed time-series data in geostatistical models for mapping the distribution of Tamarisk and other invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the continental United States. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas, New Mexico, and Nevada are the most highly suitable states. Utah and Arizona have the next greatest risk. California, Arizona, Montana, Colorado, Oregon, Ohio, Wyoming, and Florida also have a significant risk. |
| Completed |
2005-10-18 |
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National Map Showing Habitat
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| Title |
National Map Showing Habitat Suitability for Tamarisk Invasion |
| 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, to create on-demand, regional-scale assessments of invasive species likely habitats. Recent work on the Invasive Species Forecasting System (ISFS) project has shown the importance of remotely-sensed time-series data in geostatistical models for mapping the distribution of Tamarisk and other invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the continental United States. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas, New Mexico, and Nevada are the most highly suitable states. Utah and Arizona have the next greatest risk. California, Arizona, Montana, Colorado, Oregon, Ohio, Wyoming, and Florida also have a significant risk. |
| Completed |
2005-10-18 |
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National Map Showing Habitat
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| Title |
National Map Showing Habitat Suitability for Tamarisk Invasion |
| 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, to create on-demand, regional-scale assessments of invasive species likely habitats. Recent work on the Invasive Species Forecasting System (ISFS) project has shown the importance of remotely-sensed time-series data in geostatistical models for mapping the distribution of Tamarisk and other invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the continental United States. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas, New Mexico, and Nevada are the most highly suitable states. Utah and Arizona have the next greatest risk. California, Arizona, Montana, Colorado, Oregon, Ohio, Wyoming, and Florida also have a significant risk. |
| Completed |
2005-10-18 |
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Creating the Tamarisk Habita
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| Title |
Creating the Tamarisk Habitat Suitability Map (for Science Presentations) |
| 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, and 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 daily Normalized Differential Vegetation Index (NDVI), daily Enhanced Vegetation Index (EVI), and MODIS Landcover Classification data the likely Tamarisk habitat suitability map can be derived. |
| Completed |
2006-01-19 |
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Creating the Tamarisk Habita
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| Title |
Creating the Tamarisk Habitat Suitability Map (for Science Presentations) |
| 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, and 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 daily Normalized Differential Vegetation Index (NDVI), daily Enhanced Vegetation Index (EVI), and MODIS Landcover Classification data the likely Tamarisk habitat suitability map can be derived. |
| Completed |
2006-01-19 |
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Creating the Tamarisk Habita
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| Title |
Creating the Tamarisk Habitat Suitability Map (for Science Presentations) |
| 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, and 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 daily Normalized Differential Vegetation Index (NDVI), daily Enhanced Vegetation Index (EVI), and MODIS Landcover Classification data the likely Tamarisk habitat suitability map can be derived. |
| Completed |
2006-01-19 |
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Creating the Tamarisk Habita
…
| Title |
Creating the Tamarisk Habitat Suitability Map (for Science Presentations) |
| 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, and 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 daily Normalized Differential Vegetation Index (NDVI), daily Enhanced Vegetation Index (EVI), and MODIS Landcover Classification data the likely Tamarisk habitat suitability map can be derived. |
| Completed |
2006-01-19 |
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Great Zoom into Atlanta, GA:
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| Title |
Great Zoom into Atlanta, GA: The State Capitol Building |
| 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 |
2001-04-10 |
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Hurricane Ivan Progression a
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| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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Hurricane Ivan Progression a
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| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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Hurricane Ivan Progression a
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| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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Hurricane Ivan Progression a
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| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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Hurricane Ivan Progression a
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| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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Hurricane Ivan Progression a
…
| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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Hurricane Ivan Progression a
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| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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Hurricane Ivan Progression a
…
| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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Hurricane Ivan Progression a
…
| Title |
Hurricane Ivan Progression as seen by MODIS September 9-14, 2004 |
| Abstract |
Hurricane Ivan barrels across the Carribean and heads toward the United States Gulf Coast. |
| Completed |
2004-09-15 |
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China Dust Storm seen by Ter
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| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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China Dust Storm seen by Ter
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| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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China Dust Storm seen by Ter
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| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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China Dust Storm seen by Ter
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| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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China Dust Storm seen by Ter
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| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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China Dust Storm seen by Ter
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| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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China Dust Storm seen by Ter
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| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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China Dust Storm seen by Ter
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| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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China Dust Storm seen by Ter
…
| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
|
China Dust Storm seen by Ter
…
| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
|
China Dust Storm seen by Ter
…
| Title |
China Dust Storm seen by Terra/MODIS and Earth Probe/TOMS in April of 2001 |
| Abstract |
A thick shroud of dust appears over China on April 6-7, 2001. The densest portion of the aerosol pollution travels east over China, Russia, Japan, the Pacific Ocean, Canada, and The United States. |
| Completed |
2003-12-01 |
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United States EVI from Summe
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| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
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| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
…
| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
…
| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
…
| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
…
| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
…
| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
…
| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
…
| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
United States EVI from Summe
…
| Title |
United States EVI from Summer, 2000 to Spring, 2001. |
| Abstract |
Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. |
| Completed |
2001-12-12 |
|
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