Image Classification: Categorizing pixels in an image into land cover classes such as forests, water bodies, urban areas, etc.
Change Detection: Comparing images from different times to identify changes in the landscape, such as deforestation, urban expansion, or natural disasters.
Image Enhancement: Improving the visual quality of images to make features more distinguishable.
Georeferencing: Aligning images to a map coordinate system so they can be used in conjunction with other spatial data.
Object Detection: Identifying and classifying specific objects within an image, such as vehicles, buildings, or vegetation.
Topographic Analysis: Using imagery to create digital elevation models (DEMs) and analyze terrain features.
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· Demonstrates a working knowledge of how geospatial techniques are used to support the Find Fix Finish Exploit Analyze (F3EA) targeting cycle.
Scripting languages such as Python, Java Script, HTML, R, or SAS.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.