Lauren Chaphe's Geographic Information Science (GIS) Portfolio

  During this week's lab in Photo Interpretation and Remote Sensing, we focused on Florida Land Use and Land Cover. The main goal was to assign all of the areas shown in the provided aerial photo of Pascagoula, MS to the second level of the Florida Land Use/Land Cover codes. There are nine primary Level I Codes, specifically:  Urban and Built Up Land Agricultural Land Rangeland Forest Land Water Wetland Barren Land Tundra Perennial Snow or Ice Each of these class are then subdivided into Level II classes, which are then subdivided further into higher levels that become more specific at each level. For example, Urban and Built Up Land is further subdivided into the following classes: 11 Residential 12 Commercial and Services 13 Industrial 14 Transportation, Communications, and Utilities 15 Industrial and Commercial Complexes 16 Mixed Urban or Built-up Land 17 Other Urban or Built-up Land In order to create the final map, a new feature class was created and named LULC. Then the ...

This week marked the beginning of a new course, GIS 4035 Photo Interpretation and Remote Sensing! To introduce aerial photo interpretation and evaluation techniques, the first lab involved examining aerial photos and identifying land areas or features using the following techniques:  Tone Texture Shape Size Shadows Pattern Associated features The first map identifies five areas with varying tone, ranging from very light, light, medium, dark, and very dark, shown as yellow polygons. Notable areas included a unvegetated, sandy area that showed as very light color, while the forested area towards the top right corner of the photo appeared very dark. Additionally, five other areas were identified with varying textures, ranging from very fine, fine, mottled, course, and very course. These areas are shown as purple polygons. The finest texture was seen for the water features, followed by sand, sparsely vegetated areas, forested areas, and then highly developed areas.  The second map...

For the final project, the assignment was to perform GIS analysis on a proposed FPL transmission corridor. The objective was to use ArcGIS Pro to quantify key parameters that are typically evaluated to determine the proposed corridor's impact on nearby homes, schools, land owners, and environmentally sensitive areas. The map results can be seen above.  Based on the evaluation, the transmission corridor has the following impacts:  No schools within corridor vicinity 43 homes within vicinity of corridor 255 parcels within vicinity of corridor 13.9% of the corridor is wetlands 163.4 Acres of conservation lands within corridor For more information, a link to the final presentation with transcript can be found below:   https://docs.google.com/presentation/d/1Ar-MLLFwTLOwoGqDCe9b4KIlx-xDZLUkDIkuOx1xMM8/edit?usp=sharing

  This week's lab module topic was on georeferencing. The goal for this module was to georeference current aerial photographs and one copy of a building plan to update the UWF building dataset. Additionally, a Bald Eagle nest is located near the campus, so a 330-ft and 660-ft regulatory buffer was also created surrounding the nest location.  Data:  The two current aerial images and one engineering building plan was provided as JPEG images, along with a Roads, Buildings, and the Bald Eagle Nest Location. The images were added as raster data to the project map. Since I wanted the imagery to be placed exactly where it was taken on earth, I had to assign to the geographic coordinate system used for this map so that it matches the real world placement, which is also known as georeferencing. To do this, the image, with unknown coordinate system, was related to the world imagery basemap with the known coordinate system via ground control points. The points were added to the exac...