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Lab 8: Spectral Signature Analysis and Resource Monitoring

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Goals: The goal for this lab is to become familiar with measuring, collecting, and interpreting spectral reluctance and signatures. The other goal for this lab is to learn how to monitor resources with NDVI and ferrous mineral monitoring. Methods: Part 1: The first part of this lab deals with spectral signatures. The first thing that is done, after a photo is loaded in to program, is to collect the spectral signatures for various land covers. This is done by identifying the land cover type desired in the image and creating a polygon around it. Next, select the supervised drop down and click the signature editor. Once this is open, the spectral signature for the area inside the polygon can be found. These step can then be repeated until all the desired land cover spectral signatures are found. Part 2: Section 1: The first section of the second part of this lab deals with calculating vegetation density using satellite images. This is done by using the desire satellite image...
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Lab 7: Photogrammetry

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Goal: The goal for this lab was to become familiar with preforming photogrammetric tasks. Also, this lab is meant to understand the mathematics behind photogrammetry. The topics that this lab covers are scale calculation, relief displacement calculations, measuring features, to create stereoscopic images, and to preform rectification on satellite images. Methods: Part 1: Section 1: The first section of the first part of this lab is about finding the scale of the satellite image. For this section, an image was provided with two points marked on it. The real world distance between the points was given and the distance between the points needs to be found. Once this number is found, the real world distance and the distance on the image need to be converted to the same units. Then divide the screen distance by the real world distance. This is the scale of the image, 1 to the result. The second images scale needs to be calculated from the the focal length and the aircraft altitu...
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Lab 6: Geometric Correction

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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...
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Lab 5: LiDAR remote sensing

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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...
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Lab 4: Miscellaneous Image Functions

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Goal: The goal for this lab was to become familiar with image functions such as image subsetting, image fusion, radiometric enhancement, re-sampling, image mosaicking, and binary change detection. Methods: Part 1: Section 1: This section declared an area of interest with an inquire box. This is done by inputting an image and using the "inquire box" in the raster tools. Once the inquire box is placed so that the study area in within the box, the tool "subset and chip" can be used to create a subset image. Next, the output file needs to be names and a location needs to be selected. The last thing that needs to be done is to run the tool. Section 2: This section created an area of interest with a shapefile. The first thing that needs to be done for this is to upload the image you want as well as the shapefile for the desired boundary. From the shapefile, a AOI layer can be made. This layer can be used in the subset and chip tool. Once the input image...
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