Lab 8 - Thermal and Multispectral Analysis

GIS - 4035

 

 

In this weeks lab I was given the opportunity to interpret radiant energy, and utilize both ArcMap and ERDAS to interpret thermal infrared data from a multispectral image.  The map above highlights the merger of two rivers in Ecuador, the Daule River and the Babahayo river.  I approached the area with two questions:  Is there a lot of Vegetation at the Daule River delta?  Which river is warmer, the Daule River or the Babahayo River?

 

Utilizing a NIR band combination (R-4, G-3, B-2) I was able to show that there is little to no vegetation at the river delta, as this area is mostly urban.  I was then able to utilize the Thermal Band (band 6) and show that the Daule River (darker blue) is in fact warmer than the Babahayo River (lighter blue). 

 

Overall I found it quite interesting all the data you can gather and show utilizing the multispectral images.  I feel that the information that a person can gather from these images can be put to many uses and offer the viewer an opportunity to see information that isn't visible to the naked eye.

 

Lab 7 - Multispectral Analysis

GIS 4035

In this weeks lab we looked at image histograms, how to operate the inquire cursor, interpreting images, utilizing the help function, and interpreting digital data.  When then utilized the skills that we learned in the exercises to properly locate and accentuate a specific location within an image that was provided.  In this case, an image of forest surrounding the Olympic Mountains in Washington State.

The first Figure located was a dark waterbody.  Utilizing near infrared RGB settings to make the water darker, the reader can easily identify the dark waterbodies.  As described in the map the pixel values ranged from 12 and 18 in band 4.  This was observed utilizing the inquire cursor in ERDAS.

The next Figure that I located was the snowcapped mountains.  These features produced pixel values of 200 in the 1-4 band layers.  These features also had a large spike between pixel values 9 and 11 in Bands 5 and 6.  These features can be observed in the image above as yellow.

My final figure was an area of water that layers 1-3 seemed much brighter than normal, with layer 4 become slightly more brighter. Layers 5 and 6 stayed unchanged.  I utilized the band selection to set up 1-3 and then changed the blue band between 5 and 6 to identify the location that the description was illustrating.  In this case the description identified shallow waterbodies that could be seen as a greenish color.

Lab06- Image Enhancement

GIS 4035

In this weeks lab we worked more with the ERDAS program as well as ArcMap.  With the government shutdown we were unable to get into the USGS website to download the Landsat 7 images, but our instructors were kind enough to provide the data to us.  With the data downloaded and extracted we began to perform spatial enhancements.  We utilized Fourier Transformation function as well as Basic Filters found in both ERDAS and ArcMap. 

I felt most of this lab dealt with Convolution Filtering found in the ERDAS program, and we were able to utilize different Kernel settings to see a multitude of outputs based off these settings.  

Finally I was tasked with modifying an image to generate an image that reduced the Scan line corrector failure lines so that they were less  noticeable, but the image still retained enough detail to let the viewer see the obscured image.  This image is shown in the map above.  As is the description of the steps taken to clear up the image as much as possible.

Lab 5a - Intro to ERDAS Imagine

 

GIS 4035

 

 

 

This week I worked with a new program called ERDAS Imagine 2011, as well as learned how to calculate wavelength, frequency, and energy of EMR (Electromagnetic radiation).  With the ERDAS Imagine program I learned how to navigate the basic tools, viewer, and how to add and remove data.  Ultimately we combined the data we had obtained and modified in ERDAS Imagine into ArcMap and the above map is an example of this capability.  In the above map, I show the user multiple classifications, as well as the total acres that the classification covers.

 

The lesson this week was a great opportunity to work with a new program that I have not used yet.  It allowed me to see how the program performed basic functions as well as allowed me to manipulate the attribute table associated with it.