Human activities are important factors that trigger frequent occurrences of landslides; thus, for landslide control, it is critical to determine the influence of human activity on landslide occurrence probability. The Three Gorges area is a region in the world that typically experiences serious landslide disasters and frequent human activities. The objective of this work is to employ the Three Gorges area as an example to reveal the impact of human activity on the dynamic development of landslide susceptibility from 2010 to 2019. Some new viewpoints are suggested for the five aspects: (1) High-precision landslide susceptibility maps are generated by a combination of multiresolution segmentation and convolutional neural network algorithms. Moreover, the dynamic development rules of landslide susceptibility from 2010 to 2019 are revealed. (2) The change in landslide susceptibility in the study area from 2010 to 2019 was mainly caused by the combined action of rainfall and human activity. The fluctuation of reservoir water level had a less influence on the development of landslide susceptibility. (3) Some human activities, especially road construction, farmland appropriation for building construction, agricultural reclamation, farmland cultivation and irrigation, initiation of commercial planting, urban expansion, and large-scale deforestation, may dramatically increase landslide occurrence probability. (4) Human activities, e.g., conversion of farmland to forestry, artificial recovery of natural vegetation, and later periods of artificial planting, may obviously reduce landslide susceptibility. (5) The human activity causes and mechanisms influencing landslide susceptibility in the study area are proposed, including transpiration and anchorage of plants, slope reinforcement by plant roots, destruction of slope stress equilibrium, and soil erosion.

人类活动是引发滑坡频繁发生的重要因素。因此，对于滑坡控制而言，确定人类活动对滑坡发生概率的影响至关重要。三峡地区是世界上通常发生严重滑坡灾害和频繁人类活动的地区。这项工作的目的是以三峡地区为例，揭示人类活动对2010年至2019年滑坡敏感性的动态发展的影响。针对这五个方面提出了一些新观点：（1）高精度滑坡敏感性图是通过多分辨率分段和卷积神经网络算法的组合生成的。此外，揭示了2010年至2019年滑坡敏感性的动态发展规律。（2）研究区2010年至2019年滑坡敏感性变化主要是由于降雨和人类活动的共同作用所致。水库水位的波动对滑坡敏感性的影响较小。（3）一些人类活动，特别是道路建设，农田建设用地占用，农业开垦，农田耕种和灌溉，商业化种植的启动，城市扩张以及大规模森林砍伐，可能会大大增加滑坡发生的可能性。（4）人类活动，例如退耕还林，人工恢复天然植被以及后期人工种植，可能会明显降低滑坡敏感性。