Author(s): Jeemi Sung; Seunghyun Hwang; Seoyeong Ku; Jongjin Baik; Changhyun Jun

Linked Author(s): Jongjin Baik, Changhyun Jun, Changhyun Jun

Keywords: Replacement Wetland; Wetland Conservation; XGBoost; Remote sensing; Inland Wetland

Abstract: This study aims to identify potential replacement wetlands for the efficient conservation of inland wetlands across the Korean Peninsula by developing an XGBoost-based binary classification model using remote sensing and reanalysis data. A total of 13 hydrometeorological, vegetation, and carbon -related variables were integrated to reflect the diverse eco-environmental characteristics of wetlands, using datasets from 2017 to

DOI: https://doi.org/10.64697/iahr.proc.ise2026.abs.165

Year: 2026