GALLERY

False color image of Mt. Saint Helens created through Google Earth Engine along with a portion of the code used to create it. To do this I searched the google database and used imagery from USGS Landsat 2 MSS Collection 2 Tier 2 Raw Scenes and USGS Landsat 4 MSS Collection 2 Tier 2 Raw Scenes. I then used code to filter the images just before the eruption from landsat 2 and landsat 4, filtered out the cloud cover, and then created an color-infrared visualization. After this I isolated the green bands in both visualizations to create a NIR difference image. You can also see in the snippet pictured I also filtered images from Landsat 8 Collection 2 Tier 1 and Real-Time data DN values to create a current color-infrared visualization.

This visualization shows the most harvestable areas in the Tongass National Forest in Alaska created in QGIS. The light blue shapes show the most harvest areas as well as indicate their value per meter in terms of thousands of dollars in USD. The pink line indicates the distance required to not be visible from roads. The orange areas indicate a buffer of 100 meters away from spawning streams. The seafoam polygons represent old growth which should not be included in the timber harvest.

Visualizations assessing the changes in the Lake Turkana delta using Landsat imagery in ENVI from the years 1973 (top) and 1989 (bottom). For the top image I used Landsat 1 Multi-Spectral Scanner and Landsat 5 Thematic Mapper for the bottom.

Orthomosaic picture created in Metashape by loading data from a UAS into the software program. To create this photo I had to then check the data and projection statuses and then inspecting the images and their quality while removing unnecessary images and aligning the rest. After adding GCPs and optimizing cameras, I then built a point dense cloud, a 3D polygonal model, and generated texture. I then built a tiled model and DEM which allowed me to produce the final orthomosaic.