Correction of atmospheric effects of satellite remote sensing data(LANDSAT MSS, NOAA AVHRR) for surface canopy investigations


Cs. Ferencz, Gy. Tarcsai and J. Lichtenberger

ABSTRACT

A new correction method for atmospheric effects in Landsat MSS and NOAA AVHRR data is presented which uses only the remotely sensed multispectral data. The method is based on a new quasi-single-variable radiative transfer model, and as a first step we assumed that the surface is covered by vegetation. For Landsat MSS data the method was developed for the tasselled cap indices using known empirical relationships among them. For NOAA AVHRR data "tasselled cap-like" indices and the average reflectance of the average canopy in the visible band known from Landsat MSS data were used. The method was used in yield forecasting project in north-eastern part of Hungary and provided a significant enhancement in the quality of remotely sensed data. Corresponding author: Dr. Cs. Ferencz, Department of Geophysics, Ludovika t‚r 2., Budapest, H-1083 Hungary Short title: Atmospheric correction of Landsat MMS and NOAA AVHRR data.