SAFARI 2000 AVHRR-derived Land Surface Temperature Maps, Africa, 1995-2000
Land Surface Temperature (LST) is a key indicator of land surface states, and can provide information on surface-atmosphere heat and mass fluxes, vegetation water stress, and soil moisture. A daily, day and night, LST data set for continental Africa, including Madagascar, was derived from Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC; 4 km resolution) data for the 6-year lifetime of the NOAA-14 satellite (from 1995 to 2000) using a modified version of the Global Inventory Mapping and Monitoring System (GIMMS) (Tucker et al., 1994). The data were projected into Albers Equal Area and aggregated to 8 km spatial resolution. The data were cloud-filtered with CLAVR-1 algorithm (Stowe et al., 1999). The LST values were estimated with a split-window technique (Ulivieri et al., 1994) that takes advantage of differential absorption of the thermal infrared signal in bands 4 and 5. The emissivity of the surface was generated using a land cover classification map (Hansen et al., 2000) combined with the FAO soil map of Africa (FAO-UNESCO, 1977) and additional maps of tree, herbaceous, and bare soil percent cover (DeFries et al., 2000). Collateral products include cloud mask, time-of-scan, latitude and longitude, and land/water mask files.The data are in flat binary files. Each data file contains 1152 columns and 1152 rows, in signed integer format (2 bytes), with 8 km by 8 km spatial resolution. A unique map exists for each day and each night of the 6-year NOAA-14 lifetime. The data are best used to infer broad temporal and spatial trends rather than pixel-by-pixel values.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "Earthdata Forum",
"@type": "vcard:Contact",
"hasEmail": "mailto:earthdata-support@nasa.gov"
}
|
| description | Land Surface Temperature (LST) is a key indicator of land surface states, and can provide information on surface-atmosphere heat and mass fluxes, vegetation water stress, and soil moisture. A daily, day and night, LST data set for continental Africa, including Madagascar, was derived from Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC; 4 km resolution) data for the 6-year lifetime of the NOAA-14 satellite (from 1995 to 2000) using a modified version of the Global Inventory Mapping and Monitoring System (GIMMS) (Tucker et al., 1994). The data were projected into Albers Equal Area and aggregated to 8 km spatial resolution. The data were cloud-filtered with CLAVR-1 algorithm (Stowe et al., 1999). The LST values were estimated with a split-window technique (Ulivieri et al., 1994) that takes advantage of differential absorption of the thermal infrared signal in bands 4 and 5. The emissivity of the surface was generated using a land cover classification map (Hansen et al., 2000) combined with the FAO soil map of Africa (FAO-UNESCO, 1977) and additional maps of tree, herbaceous, and bare soil percent cover (DeFries et al., 2000). Collateral products include cloud mask, time-of-scan, latitude and longitude, and land/water mask files.The data are in flat binary files. Each data file contains 1152 columns and 1152 rows, in signed integer format (2 bytes), with 8 km by 8 km spatial resolution. A unique map exists for each day and each night of the 6-year NOAA-14 lifetime. The data are best used to infer broad temporal and spatial trends rather than pixel-by-pixel values. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Data Information (PNG)",
"format": "PNG",
"mediaType": "image/png",
"downloadURL": "https://daac.ornl.gov/graphics/browse/project/square/safari_logo_square.png"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (ZIP)",
"format": "ZIP",
"mediaType": "application/zip",
"downloadURL": "https://data.ornldaac.earthdata.nasa.gov/protected/bundle/AVHRR_LST_826.zip"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (PDF)",
"format": "PDF",
"mediaType": "application/pdf",
"downloadURL": "https://data.ornldaac.earthdata.nasa.gov/public/safari2k/remote_sensing/AVHRR_LST/comp/AVHRR_LST_readme.pdf"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (HTML)",
"format": "HTML",
"mediaType": "text/html",
"downloadURL": "https://doi.org/10.3334/ORNLDAAC/826"
},
{
"@type": "dcat:Distribution",
"title": "Data Information (Unknown Format)",
"format": "BIN",
"mediaType": "application/octet-stream",
"downloadURL": "https://search.earthdata.nasa.gov/search?q=AVHRR_LST_826&ac=true"
}
]
|
| identifier | 10.3334/ORNLDAAC/826 |
| keyword |
[
"earth-science-atmospheric-radiation-atmosphere-emissivity",
"earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification",
"earth-science-surface-thermal-properties-land-surface-land-surface-temperature"
]
|
| landingPage | https://search.earthdata.nasa.gov/search?q=AVHRR_LST_826&ac=true |
| modified | 2026-02-17 |
| programCode |
[
"026:000"
]
|
| publisher |
{
"name": "ORNL_DAAC",
"@type": "org:Organization"
}
|
| spatial |
"[[{"WestBoundingCoordinate":-24.6,"NorthBoundingCoordinate":43.71,"EastBoundingCoordinate":64.52,"SouthBoundingCoordinate":-42.24}],"CARTESIAN"]"
|
| temporal | 1995-01-01/1995-01-01 |
| theme |
[
"Earth Science"
]
|
| title | SAFARI 2000 AVHRR-derived Land Surface Temperature Maps, Africa, 1995-2000 |
