Correction of atmospheric effects of satellite remote sensing data (Landsat mss-noaa avhrr) for surface canopy investigations

Cs Ferencz, Gy Tarcsa, J. Lichtenberger

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A new corrcction 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 covcrcd by vegetation. For Landsat-MSS data the method was developed for the tassclled cap indices using known empirical relationships among them. For NOAA AVHRR data ‘tassellcd 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.

Original languageEnglish
Pages (from-to)3417-3431
Number of pages15
JournalInternational Journal of Remote Sensing
Volume14
Issue number18
DOIs
Publication statusPublished - Dec 1993

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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