UAS Sensors and Data Collection

 Introduction The goal of this lab was to use ArcGIS Pro to view the various band stacks of orthomosaic imagery and a normalized difference vegetation index (NIVD). The data was collected by Dr.Hupy, William Weldon and Zack Miller, and the data was of a controlled burn with multispectral cameras. Methods The methods of this lab was to look at the areas that were burned and compare them to the areas around them that were not burned. This could be done with RGB, or band stacking for the imagery, which allows the ability to see things that are not able to be seen with the human eye.  Metadata from the Flight Vehicle: Bramor PPX Sensor: Altum Flight Number: 2 Takeoff Time: 12:18 Pm Landing Time: 12:35 Pm Altitude (m): 121 Sensor Angle: NADIR Results  The data collected with the band stacking shows the differences between the pre-burn and post-burn data. Figure 1,2,4,5,6,9 are in a 5,3,2 band stack, meaning the red represents near-infrared, the green represents th...

Introduction  ERSI Landsat is a tool in which one can look at various parts of the world using satellite imagery. Although the data in landsat does not have as high of a pictorial resolution, it is much easier to view the imager in a broader context. We looked at multiple different settings and portions of the light spectrum to gain insight into different parts of the world.  Methods For the first image area surveyed, it was the farmland around Purdue, in the infrared color spectrum. This was used to capture images to understand where the healthy vegetation was located in the area. The light spectrum used the 700 nm - 1mm portion of the EMA band. The brighter the red in the images, the healthier the vegetation.  Figure 1. Infrared Satellite imagery around Purdue University Next, we viewed satellite data as an index. This allowed different moisture indexes to be seen and look at areas that would be good for farming and have more moisture.  Figure 2. Door County, WI, V...