Tamito Kajiyama

Information Technology University, National Statistical Institute of Portugal, University of Lisbon

Papers

Total Citations

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About

Tamito Kajiyama is a leading researcher in ocean color remote sensing, specializing in the development and validation of atmospheric correction methods for optically complex coastal and inland waters. His work focuses on improving satellite-derived water quality products, particularly in challenging environments like the Baltic Sea and the Adriatic Sea. Kajiyama’s major contributions include the rigorous assessment of atmospheric correction processors for the Medium Resolution Imaging Spectrometer (MERIS) and Sentinel-3 OLCI, as demonstrated in his highly cited 2013 study on MERIS radiometric data in the Northern Adriatic Sea (15 citations). He also pioneered automated quality control frameworks for the AERONET-OC network, a critical advancement for ensuring the reliability of in situ validation data (14 citations). His most recent work (2024) establishes a regional ocean color operational dataset for the Baltic Sea, addressing long-standing challenges in retrieving chlorophyll-a concentrations in waters with high colored dissolved organic matter. With over 40 cumulative citations across his key publications, Kajiyama’s research directly supports the operational monitoring of coastal ecosystems and the calibration of satellite sensors, making him an influential figure in the field of aquatic remote sensing.