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A 16-year time series of 1 km AVHRR satellite data of the conterminous United States and Alaska

Photogrammetric Engineering and Remote Sensing

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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. ?? 2006 American Society for Photogrammetry and Remote Sensing.

Additional Publication Details

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
Volume
72
Issue:
9
Year Published:
2006
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
1027
Last page:
1035
Number of Pages:
9