Characteristics of maximum-value composite images from temporal AVHRR data

Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data

Researchers from the U.S. Geological Survey, University of Nebraska– Lincoln and the European Commission’s Joint Research Centre, Ispra, Italy produced a 1 km resolution global land cover characteristics database for use in a wide range of continentalto global-scale environmental studies. This database provides a unique view of the broad patterns of the biogeographical and ecoclimatic diversity...

Remotely Sensed Rice Yield Prediction Using Multi-Temporal NDVI Data Derived from NOAA's-AVHRR

Grain-yield prediction using remotely sensed data have been intensively studied in wheat and maize, but such information is limited in rice, barley, oats and soybeans. The present study proposes a new framework for rice-yield prediction, which eliminates the influence of the technology development, fertilizer application, and management improvement and can be used for the development and implem...

Restoration and reconstruction of AVHRR images

Compression of AVHRR images by wavelet packets

AVHRR is an imager flying on polar meteorological satellites that, due to its spatial resolution (about 1 km at Nadir view), produces a huge amount of data. A method based on the wavelet packet transform is devised to compress AVHRR images. The method is driven by the compression error (application dependent), so that different types of images have the same quality. The best basis wavelet packe...

AVHRR 10-day Mosaic Composite Image Data Sets for Asian Region

The 10-day AVHRR composite image data sets for Asian region have been generated from the daytime AVHRR HPRT data received at Tokyo, Kuroshima, Ulaanbaatar and Bangkok. A Global AVHRR Image Compositing System (GAVICS) developed by Iwate University, Japan, was applied to the image processing. The GAVICS is an automatic processing system that produces single or composite AVHRR data from the raw HP...