Rapid deforestation has been well-documented in Colombia after the 2016 peace agreement with FARC. While studies using remote sensing identify specific land cover change transformation, structural connectivity variables are less studied for understanding processes of change. In this work, we used data from the Landsat archive from 2011 to 2021, the Continuous Change Detection and Classification algorithm (CCDC), and Morphological Spatial Pattern Analysis (MSPA) to analyze deforestation, land cover change, and landscape connectivity in northwestern Colombia's Amazon. We examined the spatial patterns of pasture expansion in three specific subsets in the Colombian arc of deforestation, with a focus on the surroundings of the National Natural Park Serranía de Chiribiquete. Our results confirm that rapid changes in connectivity are linked to pasture expansion. The land use change from forest to pasture during the analyzed period shows landscape modification patterns towards the borders of National Park along rivers and roads, where cattle is transported in the area of study. Prior to 2016, the average annual deforested area in the three study areas was 27.93 km²; after 2016, this number increased to 73.36 km². The outcomes of our study contribute to an improved understanding of forest dynamics and can aid decision-making in areas that play a key role in ecological networks necessary for long-term conservation efforts. The impacts of post-peace agreement economic development on the fragile Amazonian ecosystem highlight the urgent need not only for research but local agreements with communities. This study presents methodology and data in support of policy-making for sustainable land use and ecological connectivity to mitigate further environmental degradation in the area.