This research involves the application of DEM modifications from national weather data along with landscape visualization tools to explore future climate change adaptation, potential landscape performance and strategic management at the Arbutus Pond in Newcomb, NY. In terms of yearly and numerical reports of weather conditions by Adirondack Ecological Center (AEC), patterns of thermal impacts are potentially correlated with natural phenomenon such as snow depth changes. This observation is valuable as environmental inspection for snow patterns and further understanding of collaboration for landscape architects. Using a combination of a DEM modification Photoshop plugin along with terrain 3D modeling and computer game development software, we visualized several snow depth scenarios which were used to potentially inform land of recreation, forest and water quality management. Data collected from the SC-ACIS – Applied Climate Information System was selected for initial reference with each factor at large distances and timescales to represent variations of snow accumulation. Real-time rendering game design software was used to develop photorealistic renderings in order to visualize snow depth changes that occurred as a result of various perspectives to further explore the topic of snowfall and climate change by the workflow – from GIS to 3D to real-time virtual reality (VR) immersion.