###### Abstract
Based on multi-temporal Landsat remote sensing images and subterranean stratigraphic records, [PERSON] [8] reveals that the strong asymmetric bank erosion in the Padma River section in Bangladesh is the main source supply, which drives the evolution model of river zoning, and provides a key case for understanding the response mechanism of large river geomorphology under the intervention of strong human activities. Based on multi-temporal satellite image data, [PERSON] [9] revealed the dynamic process of asymmetric erosion and deposition on the left and right banks of the Ganges River in Bangladesh, the continuous widening of the river channel, and the significant enhancement of the curvature driven by high erodibility in riparian material and monsoon high flow. [PERSON] [10] revealed that the continuous rise of the bending rate and bifurcation index of the Padma (Ganges) River in Bangladesh broke through the critical value, driving its morphology to transform from a meandering to a braided river, and the bifurcation index increased significantly. Based on multi-temporal remote sensing images and field survey data, [PERSON] [11] revealed that the material properties of non-viscous riverbanks, persistent meandering atrophy, and potential human land use jointly trigger the disappearance of historical cutoff points and the risk of high cutoff in the future, which provides a quantitative basis for predicting geomorphological evolution and management. Based on multi-temporal remote sensing images and GIS technology, [PERSON] [12] revealed the transformation process of historical active migration to recent erosion weakening and activity reduction of the Yamuna River's alluvial section under the combined action of historical flood driving and recent runoff attenuation, which provided technical support for the scientific delineation of the river channel's migration boundary. [PERSON] [13] reveals that the significant erosion-deposition dynamics and morphological evolution of the lower reaches of the Tana River in Kenya are driven by multiple factors such as hydrological fluctuation, upstream land use, and river slope and riparian vegetation change, which provides a comprehensive framework and quantitative basis for understanding the self-organization process of the river channel without strong engineering intervention. Based on Landsat satellite remote sensing time series data (1989-2021) and GIS spatial analysis technology, [PERSON] [14] revealed that the meander curvature and channel mobility of the lower reaches of the Dtruu Eurasian River in Sri Lanka have shown a significant increasing trend in the past 32 years. [PERSON]. Based on SPOT satellite time series images (1996-1999) combined with geomorphological methods, [PERSON] [15] established a regional geomorphological database, depicted environmental degradation and sediment transport maps, and evaluated the impact of the proposed project in a typical section of the middle reaches of the Mekong River in Laos. [PERSON] and [PERSON] [16] developed a new spectral riverbank erosion detection method and applied it to Landsat images to verify NDWI M-AMERL. The SMA algorithm is the optimal riparian extraction scheme for the Mekong River Delta in Vietnam. These studies have fully confirmed the universality and reliability of multi-temporal remote sensing images combined with GIS technology to analyze channel morphological parameters (such as curvature, branching index, and shoreline migration rate) and erosion and deposition dynamics, which provides a solid technical paradigm and operational framework for monitoring the erosion and deposition evolution of the main stream of the Tarim River.