Factory Site Wetland Mapping
This map depicts delineated wetland zones, across a factory site, with each area distinctly coded and labeled according to its identification number and it’s corresponding land use category from the Florida Land Use, Cover, and Forms Classification System (FLUCCS). To aid in the interpretation of natural resources, the original Color-Infrared (CIR) aerial photography has been modified to a familiar green palette. Data preparation, the establishment of precise boundaries, and the accurate assignment of identification labels are especially important when working with sensitive wetland ecosystems.
Environmental Science Maps:
Factory Site Wetland Impacts
This map is an analysis of the projected impacts of a proposed factory's construction on the surrounding wetlands. The map uses Color-Infrared (CIR) aerial photography, or "false color" imagery, which captures wavelengths beyond normal human perception and eliminates atmospheric interference. The maps goal is to inform as much as possible about the potential affects of the factory on a wetland area by delineating factory boundaries, the wetland areas, and those directly affected by construction and the development itself. The wetland areas are calculated in a chart organized by impacted wetland type and the map also includes a visual aid to help users unfamiliar with FLUCCS codes easily assess wetland quality.
Wetland Impacts of Roadways
This map illustrates the impacts of a proposed roadway construction on a parcel of land containing wetlands. Again, this map uses Color-Infrared (CIR) aerial photography, also known as "false color" imagery, which captures wavelengths beyond normal human perception and eliminates atmospheric interference.. Each wetland area is marked with its unique identification code and corresponding FLUCCS (Florida Land Use, Cover, and Forms Classification System) code. The map also includes labels indicating the acreage of wetland areas affected by the ‘preferred roadway’.
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Site Suitability: Fictional Missing Search Party Map
This is a fictional site suitability exercise based on a science-fiction book; Congo. The goal was to create a map using ArcGIS Spatial ModelBuilder to track down the missing Field Team in the eastern Democratic Republic of the Congo. The team was last seen on a mission to find “Zinj” and diamonds, and the analysis used raster and vector data and a model to determine areas within a specific criteria for land cover, geology, gorilla habitat, and elevation to pinpoint their likely location in order to send a search party.
Aquifer Visualization using 3D GIS:
This 3D image shows the spread of harmful chemicals called volatile organic compounds (VOCs) in the groundwater aquifer of San Gabriel Basin. It illustrates how the contamination relates to the wells and nearby facilities to help find point sources of pollution easily.
Viewshed Analysis and Topographic Map of Horse Cave, Kentucky
The map from this lab shows the landscape of Horse Cave, Kentucky. It highlights how cave paths relate to the surface features such as roads, railroads, and elevation. A viewshed analysis is included to identify visible areas (viewshed) from the point labeled Observer.
3D Visualization of the 2014 Oso Landslide
This graphic presents a 3D visualization of the devastating 2014 Oso mudslide, created using GIS data. The scene captures the post-slide terrain, highlighting the scale and impact of the natural disaster.
Least Cost Path Analysis: Mountain Lion Habitat Corridor
This map shows the least cost path for mountain lions to move between the Santa Monica and Los Padres habitats in California. It highlights areas that are easiest for them to travel, taking into account the land, human structures, and protected areas, to help plan wildlife corridors.