[1] Soufflet, V., D. Tanre, A. Royer, and N.T. O'Neill, (1997) Remote sensing of aerosols over boreal forest and lake water from AVHRR data. Remote Sensing of Environment, 60, pp: 22-34. [2] Goodrum, G., K.B. Kidwell, and W. Winston, (1999) NOAA KLM user's guide, National Environmental Satellite, Date, and Information Services (NESDIS). [3] Key, J., (2002) The Cloud and Surface Parameter Retrie...

A potential application of the normalized difference vegetation index (NDVI) is to monitor crop yields over large areas. The study concentrated on the spring Mheat areas of North Dakota and South Dakota for several years (1989-1992). The NOAA AVHRR data was carefully analyzed to minimize processing and sampling errors. Sums of biweekly NDVI county averages over an eight week period from heading...

An attempt has been made to assess the e ciency of image data compression by wavelet transform encoding using National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) images. Raw and derived images were compressed to various levels and a number of parameters in the decompressed images compared with those obtained using raw data as a yardstick agai...

The summer season of 2003 in Continental Portugal was by far the worst in what respects both to the number of forest fires and the amount of burnt area. In the present work, burnt area monitoring was performed using NOAA/AVHRR imagery by means of a neuro-fuzzy (ANFIS) algorithm that was applied on an operational basis to the surface of the country. Validation of obtained results was performed b...

This article presents a new and novel approach to accomplish AVHRR data navigation with errors of less than 0.9 km in the middle latitude regions. The AVHRR channel 4 counts and GTOPO30 elevation data and image correlation method are used. This approach is suitable for both day and night passes. It can also be used for other satellites with thermal sensing radiometers. A two steps approach is i...