The broad valley reach of the Yarlung Zangbo River presents unstable multiple channels and ephemeral bars formed by intense bed-load transport and active morphodynamic processes

exhibiting notable braided river characteristics. This study uses multi-source data comprehensively－including field observations and satellite remote sensing

adopts an artificial neural network model to classify and identify the satellite images－and determines statistically the geometric parameters of the river and its bars. We examine the time evolution of characteristic geomorphic factors as a response to flow conditions in well-braided reaches

and work out a quantitative relationship for the response. The results indicate braided river geomorphological parameters are highly sensitive to flow variations and display pronounced seasonal variations. The number of bars increases with the rising discharge

while their total area decreases; The bar braid index (BIb) is positively correlated with the flow rate

and the reach braid index (BIr) shows a non-monotonic change－decrease in flood peak period

rise in flood retreat period

then decrease again in dry season. The results deepen our understanding of complex river morphological evolution

and help develop and utilize plateau rivers.