Geog 338 Remote Sensing of the Environment

Lab 6: Geometric Correction Goal and Background The goal of this lab is to utilize geometric correction, which is the process of removing geometric distortion in imagery to put individual pixels in their proper planimetric position. Two types of Geometric correction will be performed on two different images. The first is an image-to-map rectification, which uses a map to correct a satellite image. The second is an image-to-image rectification. this uses an already corrected image to rectify an image that is distorted. These processes are part of preprocessing activities which are performed before biophysical and sociocultural information can be extracted from satellite images. Methods Part 1: Image-to-Map Rectification In the first part of this lab an image of the Chicago Illinois (Figure1) area was to be recorrected through the use of a topographic map (Figure 2) of the same area over the Chicago region of Illinois. This correction of the image was done using a First Ord...

Goal and Background The goal of this lab is to gain basic LiDAR skills through the use of ArcGIS. Some Specific goals were processing and retrieving surface and terrain models. The creation of an intensity image and other point cloud images. The LiDAR data used is in LAS file format which is easily manipulated through the use of ArcGIS. Methods Part 1: Point cloud visualization in Erdas Imagine The first part of this lab Erdas Imagine was used to input point clouds and visualize the LiDAR imagery. This was done by opening each individual LiDAR point cloud file in .las format and this gives the ability to view the LiDar image as a whole (Figure 1).  Figure 1: This image shows the importing process of LAS files into Erdas Imagine.  Next we brought these same files into ArcMap where it is easier to manipulate Lidar imagery. This was done by creating an LAS data file where LAS point cloud imagery was added of Eau Claire county. This data appears in a bunch of tile...