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Spatially varying haze is a common feature of archival Landsat scenes currently being used for large-area land cover mapping and can significantly affect product quality. Robust haze reduction that is image-based and involves minimal operator intervention, is therefore a necessary a-priori step to information extraction. The practical implementation of a suitable methodology, based on a Haze Optimized Transform (HOT), is described. The approach is being used in a program to map the Great Lakesdoi:10.4095/219885 fatcat:5f6jeeekpraevavyuyh2fqrdza