MODIS Land Cover of South America
New NASA satellite-generated land cover maps are providing scientists with a detailed picture of the distribution of Earth's ecosystems and land use Scientists can better determine how vegetation is distributed and land is being used around the world with new NASA satellite-generated land-cover maps. These new maps, based on a global digital database of land cover types Earth images that is updated every 16 days, will help scientists better understand the Earth's climate and carbon budget and climate, through closer monitoring of water and land resources, including forested and agricultural areas.
These land-coverland cover maps were developed at Boston University in Boston, MA, using data from the Moderate-resolution Imaging-Spectroradiometer (MODIS) instrument aboard NASA's Terra satellite. The prototype MODIS maps were created with data acquired between July and December 2000; but future maps will utilize one year of data. Advances in remote sensing technology allow MODIS to collect higher-quality data than previous sensors, yielding the most detailed land cover classification maps to date. The new maps are better because the quality of MODIS data is much higher than AVHRR data. They are also more current because the information content of MODIS data allowed scientists to exploit more efficient automated methods for categorizing land cover than was were previously possible, reducing the time to generate maps from months or years to about one week. Each MODIS land-coverland cover map contains 17 different land cover types, differentiating among eleven natural vegetation types such as deciduous and evergreen forests, savannas, grasslands, permanent wetlands and shrublands. Agricultural land use, as well as, several categories of land surfaces with little or no plant cover — such as bare ground, urban areas and permanent snow and ice — are also depicted in the maps.
This animation of South America is a series of false color MODIS images. The movie starts at a blank global view, zooms to South America and then brings in each MODIS landcover class individually. After each class has been seen individually the series repeats and the classes are shown together.
Color Bar of the MODIS 17 class Landcover Algorithm
Video slate image states, 'MODIS Landcover of South America'.
For More Information
- Agricultural science
- Biosphere
- Closed Shrublands
- Croplands
- Deciduous Broadleaf Forest
- Deciduous Needleaf Forest
- Earth Science
- Evergreen Broadleaf Forest
- Evergreen Needleaf Forest
- Forestry
- Grasslands
- Human geography
- Mixed Forest
- Natural Vegetation
- Open Shrublands
- Permanent Wetlands
- Physical geography
- Savannas
- Snow and Ice
- Sparsely Vegetated
- Terrestrial Ecosystems
- Urban
- Woody Savannas
Credits
Please give credit for this item to:
NASA/Goddard Space Flight Center
Scientific Visualization Studio
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Animator
- Lori Perkins (NASA/GSFC)
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Scientists
- Mark Friedl (Boston University)
- John Hodges (Boston University)
Release date
This page was originally published on Saturday, November 17, 2001.
This page was last updated on Wednesday, May 3, 2023 at 1:57 PM EDT.
Missions
This page is related to the following missions:Series
This page can be found in the following series:Datasets used
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[Terra: MODIS]
ID: 116
Note: While we identify the data sets used on this page, we do not store any further details, nor the data sets themselves on our site.