Using remote sensing phenology extraction method has great potential in understanding the sensitivity of farmland phenology to climate change.Used a satellite-derived Normalized Difference Vegetation Index （NDVI） to obtain the spatio-temporal patterns of the farmland phenology in NEC from 2005 to 2020 and validated the results using ground phenology observations. Then explored the relationships among farmland phenology， temperature， precipitation and sunshine hours for relevant periods. The results showed that the spatial distribution pattern of farmland phenology was consistent in Northeast China from 2005 to 2020， and only some areas were different due to the distribution of crop varieties. The temporal variation of farmland phenology was significant.In most regions of NEC， the start date of farmland phenology had advanced by approximately 1 d/a， and the length of vegetation phenology had been prolonged by approximately 1 d/a due to the warm conditions. Farmland phenology was significantly affected by temperature and precipitation， but not by sunshine hours， and was also affected by the change of planting structure to a certain extent.. Moreover， farmland phenology is largely affected by human factors， so some regional climatic factors show opposite trends.