Shelby's Remote Sensing Class Blog

 Shelby Short Goal and Background: The goal of this lab was to perform key photogrammetric skills on vertical aerial photographs and by extension satellite images. By doing this, we will understand that mathematics behind the calculation of photographic scales, measurement of areas and perimeters of features, calculating relief displacement, and performing orthorectification on a block of vertical aerial photographs. After completion of this lab, we will be able to perform diverse photogrammetric tasks. Part 1: Scales, measurements, and relief displacement The first section of this lab we calculated the scale of nearly vertical aerial photographs. This involves a combination of simple addition and subtraction along with unit changes to create a 1 to something scale.  The second part of this section we looked at measuring the areas of features on different photographs. In order to do this, we opened our image in ERDAS and used the measure tool(Figure 1).   Figure 1: H...

  Shelby Short Goal and Background The goal of this lab exercise was to gain introductory knowledge on LiDAR data structure and processing. Specific objectives revolve around processing and retrieval of various surface and terrain models, and then processing and creating intense images and other derivative products from point cloud. LiDAR is one of the recently expanding areas of remote sensing with significant growth in new job creation. To successfully complete this lab, students will work with Lidar point clouds in LAS file format. Part 1: Point cloud visualization in Erdas Imagine  To start this lab we added the LiDAR .las files to our image viewer in ERDAS. After examining our image, we looked at the density of the points. The back-scattered points have x,y, and z coordinates. Bodies of water have low point density because backscattering is only 5%, and the other energy is absorbed which is shown in Figure 1.  Figure 1: Backscattering of surface features by the footb...