Bathymetric Survey of Church Pond
Although Church Pond is commonly understood as a single pond, few realize it is actually split into distinct East and West sections. Our team set out to better understand Church Pond, its shape, its history, and how its eastern and western basins became connected. Local stories claim that Paul Smith, the hotel owner in the early 1900s, built canals so guests could paddle to a small chapel near the pond. But when we looked deeper, the story didn’t quite add up. Around the same time, Smith was involved in redirecting water for hydropower elsewhere in the region, and some of his work near Osgood Pond and Church Pond may have been part of similar efforts. The story of the flooding of the old military road and the shallow shelf connecting the supposed two halves of Church Pond supports the idea that these canal projects left a lasting mark on the landscape.
To explore the modern pond itself, we completed a bathymetric survey and created digital models of the lakebed using three mapping methods: IDW, which estimates depth based on nearby points; Empirical Bayesian Kriging, which uses statistical relationships in the data to create smoother surfaces; and Topo to Raster, which builds terrain models suited for natural drainage patterns. Comparing these helped us understand which approach best captures Church Pond’s underwater shape.
All of this work, historical research, field data, and lakebed models, comes together in the StoryMap below.
Previous Projects
The objective of this project was to develop a digital model of Holcomb Brook, a tributary of the West Branch AuSable River located in North Elba, Essex County, New York. The model aims to create raster data related to the stream’s water level and the environment’s infiltration rate, to simulate three increasing levels of impact and flood severity, projected with Esri’s ArcGIS Pro Flood Simulation Toolset. The primary goal was to establish tools to support ecological preservation through site-specific GIS modeling for flood simulation. Completed for GIS 335, F '24
This project modeled suitable zombie habitat ranges in southern and central New Hampshire using an analysis focused on both environmental and anthropogenic landscape features. My methodology included using average temperature as a key limiting factor, under the assumption that extreme cold would halt zombie movement by freezing or the inverse would mummify them. Completed for GIS 420, F '25
This project addressed trail development in Cape Arago in Oregon, underscoring the importance of geospatial analysis in environmental decision-making. The integration of multiple data layers, each with its own set of reclassified cost values, provides a multi-faceted view of the terrain, enabling planners to make informed decisions that balance ecological preservation with recreational use. In essence, the process described is a dance of data manipulation and interpretation, where each step builds upon the last to create a harmonious outcome. Completed for GIS 255, S '24