Abstract：Based on MODIS NDVI remote sensing data from 2000 to 2020, supplemented with meteorological data and land use data, the spatiotemporal evolution characteristics of vegetation and its response mechanism to climate change and human activities of each topographic unit in different cycle phases in Northeast China were investigated in-depth, using the methods of wavelet analysis, Sen+Mann-Kendall trend analysis, Hurst index, partial correlation analysis and residual analysis. The results showed that: Temporally, the vegetation NDVI in Northeast China showed an increasing trend with a rate of 0.0308/10a (P<0.001), and the most stable cycle change was about 10a under the first main cycle of 16a. Spatially, the vegetation NDVI in Northeast China was at a high level overall, but the spatial differentiation was obvious, with a pattern of "low in the southwest and high in the northeast". The NDVI improvement area was larger than the degradation area in each cycle phase and the improvement area was expanding. The main theme of NDVI future trend is continuous improvement, accounting for 63.56% of the total area. In terms of response mechanism, the vegetation NDVI in Northeast China was influenced by both climate change and human activities. NDVI was positively correlated with temperature, precipitation and relative humidity, while negatively correlated with sunshine hours from 2000 to 2020, among which precipitation had the strongest influence on NDVI, and the area with precipitation as the dominant climate factor increased significantly with the cycle succession. Human activities mainly positive contribute the variation of NDVI, the implementation of forestry projects was the key to the improvement of vegetation condition, while the expansion of land for construction was the main cause of vegetation reduction.
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