Geography 338: Remote sensing of the Environment

Goals: The goal for this lab was to learn how to use ground control points (GCPs) and a reference image to make geometric corrections to satellite images. Methods: Part 1: The first part of this lab used a distorted satellite image of the city of Chicago with a digital raster graphic (drg) of the city of Chicago that is spatially correct. The drg is the reference layer that the distorted image will be corrected to match. First, the distorted satellite image needs to be brought into the work space and under the multi spectral tab, use the control points tool. This will open the geometric corrections tool. When the tool opens, set the geometric model to polynomial. Next, the reference layer needs to be added to the tool. For this part of the lab the drg is the reference layer. After the reference layer is in the tool, the order of polynomial desired is selected. For this part, a first order polynomial is used. Next, two viewers will be viable each containing either the distort...

Goal: The Goal for this lab was to become familiar with LiDAR data and to use it to make various products such as DTM and hillshade models. Methods: Part 1: For the first part of this lab, LAS data was imported into Erdas Imagine so the LiDAR point cloud can be visualized. This is done by selecting the LAS files that are desired and to open them in Erdas Imagine. This will bring in the point cloud into the workspace and allow it to be visualized. Part 2: For this part of the lab, a LAS dataset needs to be created and to make sure that the quality of the data is good by looking at the statistics. To do this, arcmap needs to be opened and the folder the LAS data is in needs to be connected to arcmap. Next, in the catalog, a new LAS dataset needs to be created by right clicking on the folder its going into and selecting new and then LAS dataset. Once the LAS dataset is created and named, the individual LAS files can be brought into the newly created dataset. Once the files a...