A 16-year time series of 1 km AVHRR satellite data of the conterminous United States and Alaska
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Abstract
The U.S. Geological Survey (USGS) has developed a 16-year time series of vegetation condition information for the conterminous United States and Alaska using 1 km Advanced Very High Resolution Radiometer (AVHRR) data. The AVHRR data have been processed using consistent methods that account for radiometric variability due to calibration uncertainty, the effects of the atmosphere on surface radiometric measurements obtained from wide field-of-view observations, and the geometric registration accuracy. The conterminous United States and Alaska data sets have an atmospheric correction for water vapor, ozone, and Rayleigh scattering and include a cloud mask derived using the Clouds from AVHRR (CLAVR) algorithm. In comparison with other AVHRR time series data sets, the conterminous United States and Alaska data are processed using similar techniques. The primary difference is that the conterminous United States and Alaska data are at 1 km resolution, while others are at 8 km resolution. The time series consists of weekly and biweekly maximum normalized difference vegetation index (NDVI) composites.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A 16-year time series of 1 km AVHRR satellite data of the conterminous United States and Alaska |
| Series title | Photogrammetric Engineering and Remote Sensing |
| DOI | 10.14358/PERS.72.9.1027 |
| Volume | 72 |
| Issue | 9 |
| Year Published | 2006 |
| Language | English |
| Publisher | Ingenta |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 9 p. |
| First page | 1027 |
| Last page | 1035 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |