The CaNOP Cubesat Mission is a student based cubesat mission based out of Carthage College. The purpose of the mission is to test a method for multispectral imaging, image changes in the rain forest on Earth, test AI based tools to identify known test targets on the ground, and visualize changes in urban night lighting due to the growth in low power LED street lights. The 3U Cubesat camera system is designed to replicate early Landsat remote sensing capabilities. For this mission CaNOP is using a commercial four-band multispectral pushbroom imager designed for precision agriculture applications. This imaging system reproduces a subset of the visible and near-IR Landsat and MODIS spectral imaging channels at a ground pixel size of 60m at an orbital altitude of 400 km. CaNOP will be deployed from the ISS in Fall 2020. Communications will be through our LinkStar-STX3 and LinkStar duplex radios which link the satellite through the Globalstar network providing global beaconing and positioning, command and control, and image download. We will be able to control swaths to image based on known location via our web ground interface. For this presentation we will discuss the mission plan and mission science, provide comparison figures of merit for CaNOP and Landsat 8, present the PC104 based BeagleBone Black interface and architecture and how it was integrated with the cubesat, and how data from the mission will be collected and shared with the community
