Daeseong Jung

Papers

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About

Daeseong Jung is a leading figure in satellite remote sensing and land surface modeling, with a primary focus on advancing geostationary satellite algorithms for meteorological and environmental monitoring. His most cited work centers on the development of the land surface albedo algorithm for the GK-2A/AMI instrument, a critical contribution to Korea’s next-generation geostationary satellite, Geo-KOMPSAT-2A, launched in December 2018. This algorithm enables high-resolution (0.5–2 km) retrieval of surface albedo from geostationary orbit, significantly improving the accuracy of Earth’s radiation budget estimates and supporting climate and weather prediction models. With 18 citations, this paper underscores his impact in operational satellite science, bridging cutting-edge sensor technology and practical applications. Jung’s research has been instrumental in enhancing the capabilities of the Advanced Meteorological Imager (AMI), positioning him as a key contributor to Korea’s space-based Earth observation infrastructure. His work not only advances remote sensing methodologies but also provides vital data for environmental monitoring, making him a notable figure in the field of satellite meteorology and climate research.