Remote Sensing

Introduction: This lab is set to help familiarize students with spectral reflectance signatures of various objects found on the Earth's surface that can be made visible in aerial photographs. Student will first collect these signatures from remotely sensed images before graphing and analyzing their outputs in order to confirm their validity using the spectral separability test. In analyzing the combination of these remotely sensed images and object signatures, students will ultimately determine and further monitor the health conditions of various vegetation and soils. Methods: Part One: Spectral Signature Analysis- For Part One of the lab, students used the Polygon and Raster Supervised Signature Editor tools synced with Google Earth in Erdas to collect spectral signatures of various feature objects. From a satellite image of Eau Claire county, students collected a total of 12 signatures, including those from standing water, still water, deciduous forests, coniferous forests...

Introduction: The purpose of this lab is to provide students with a foundation in the performance of photogrammetry tasks, including the calculation of image scale and relief displacement, and measuring areas and perimeters of aerial imagery features. Additionally, the lab introduces students to stereoscopy and orthorectification tasks for satellite imagery.  Methods & Results: This lab ultimately consisted of three parts: Part 1 : Scales, Measurements, and Relief Displacement, required students to calculate scales and relief displacement using formulas provided to us in lecture. Limited information was given pertaining to measurements taken from the real world, and then using the aerial photographs, direct measurements could be made with something as simple as a ruler for comparison in completing the formula for scale. Figure One shows an example of the relief displacement we observed between two photos. On the left, we can clearly visualize the relief displace...