Keystone Aerial Surveys, Inc.
John Gonzales is a highly skilled professional with a robust background in aerial surveys and environmental science. Currently serving as a Pilot and Sensor Operator at Keystone Aerial Surveys, Inc. since September 2022, John is adept at operating, troubleshooting, and maintaining advanced camera and LiDAR systems while providing high-quality data to team members. Previously, John worked as an Environmental Scientist at Green Star Environmental from April 2017 to September 2019 and contributed as an Undergraduate Research Assistant at Austin Peay State University, focusing on E. coli contamination in local streams. John holds a Bachelor of Science in Geoscience with a concentration in Geology from Austin Peay State University, completed in 2016.
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Keystone Aerial Surveys, Inc.
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Keystone Aerial Surveys, Inc. provides airborne acquisition and image processing services to clients throughout North America. Headquartered in Philadelphia, Pennsylvania with offices in Fredrick-MD, Spartanburg-SC, Longmont-CO, Belen-NM, Houston-TX, Los Angeles-CA, and Reno-NV, Keystone is a nation-wide aerial acquisition and image processing service provider with the experience of millions of survey miles flown over the US, Canada, and Mexico. From the collection of raw data to the development of value-added products, Keystone offers complete remote sensing solutions tailored to your specific needs. Whether your data requirements include digital imagery, LiDAR, or film, Keystone has the airborne acquisition capacity to fly your project quickly and accurately. With decades of project management experience and a growing IT department, Keystone is able to offer a complete range of solutions from data collections of any size (county and statewide) to high-quality derivative products and custom software applications. Keystone Aerial also offers an extensive library of imagery, including recently acquired, high-resolution digital imagery of nearly 300 US cities, as well as historic image archives dating back to the 1960s.