The Yellow River, which yearly discharges at least one billion tons of silt into the ocean, is one of the rivers in the world with the largest sediment concentration. A portion of these sediments settle at the estuary and alter the delta's shape. The Yellow River (YR) has seen major changes in recent decades because of climate change and human activity, which have had a variety of effects on its Delta. Therefore, it is essential to research these changes and create a prediction model for potential future modifications. This study aims to develop a methodology that integrates remote sensing, hydrological, and climatic data to assess and predict changes in the delta. Furthermore, this study aims to understand patterns of delta changes by comparing Landsat series data collected every four years from 1996 to 2021, as the focus was on the period after the artificial diversion of the Yellow River in 1996. We evaluate the impacts of hydrological, climatic, precipitation, and environmental management factors on deltaic changes. Satellite remote sensing data is used to monitor geographical features, and hydrological data analysis is integrated to establish a more precise model for deltaic evolution. By utilizing Remote Sensing (RS) and Geographic Information System (GIS) technologies, we were able to characterize the changes that occurred between 1996 and 2021 in the YR delta. Previous research has identified four main phases in the evolution of the YR Delta, 1. Erosion period (1996-2000), 2. Stable growth period (2000-2005), 3. Alternation period of siltation (2005-2015) and, 4. Rapid erosion period (2015-2020). Through the relevant data from the "Yellow River Basin Hydrological Yearbook", "Yellow River Sediment Bulletin" and China Meteorological Administration meteorological data analysis. Therefore, a more precise model for deltaic evolution characterization needs to be established.