IMAGE-BASED ATMOSPHERIC CORRECTION OF MULTI-TEMPORAL THEMATIC MAPPER DATA FOR AGRICULTURAL LAND COVER CLASSIFICATION
Atmospheric corrections of imagery seem not yet to be a common practice except for CZCS and AVHRR data. Hence, a simple approach to the atmospheric correction of Thematic Mapper data is presented, which is based solely on the evaluation of scene information and may, therefore, be considered operational. The method is based on the determination of aerosol optical thickness from histogram minima and/or clear water targets. Atmospheric conditions are assumed constant over the scene, but its variation with the sun-to-satellite scattering angle is accounted for. The environment effect is corrected for each pixel. The accuracy of the method is analyzed with respect to ground measurements and a between-scene comparison of derived target signatures. First results indicate a precision of 10% in terms of retrieved inherent target reflectances. Potential applications to the monitoring and classification of agricultural crop systems with TM data are outlined.
Bibliographic Reference: IGARSS'88, EDINBURGH (SCOTLAND), SEPT. 13-16, 1988, AVAILABILITY: CEC-LUXEMBOURG, DG-XIII-C-3, POB 1907, MENTIONING PAPER EN 34182 ORA
Availability: Can be ordered online
Record Number: 1989126101300 / Last updated on: 1989-06-01
Available languages: en