Module 4: Supervised Classification Challenge

This week we were required to take an image of Germantown, Maryland and do a Supervised Classification in ERDAS Imagine of the image to known land cover types. We were required to use 14 categories and label each type. Then using histogram values, we were to categorize the land in the image.
I really did not have too many problems with the assignment. I was able, through trial and error and the known value ranges, to match all but two categories. The grass areas and Ag 4 areas had a bit high histogram values. I found that if I adjusted these values many other categories fell out of range so I felt that this was as close as I could get. I did spend many hours adjusting the Euclidean Distance values to get the histogram values within range.

Week4:Supervised Classification

Module 3- Orthorectification Challenge

This is my submission for the Module 3 Challenge Assignment for GIS 4035 Remote Sensing and Photointerpretation at the UWF Online GIS. We were required to take an image of downtown Pensacola and orthorectify the image to an existing map using GCP or Ground Control Points. The requirement of a RMS error of under 1. Using 7 control points, I was able to get low RMSE numbers with an Avg. error of .2545.

Challenge3 Map
GCP Table

The problems I had with the assignment were in the practice section. I could not get my RMSE below a couple thousand on some of the fiducials. I did not have this problem with the challenge. The only problem I had in the challenge waas that I had to move my UTM grid slightly to the left in order to see the numbers better on my map. I think this might cause a slight error in my Longitude on the grid.

Week 2: Spectral Bands Basics

Disregard this post.

Week 2: Spectral Bands Basics Challenge

Below are the 3 maps required for GIS 4035L/Remote Sensing and Photointerpretation for Summer term at UWF online. The first map shows a water feature which we were required to identify using the different spectral bands and their associated pixel values. The spike in the histogram for layer_4 between pixel values 12-18 are associated with the many water features in the image.

The second map we were required to determine from the histogram of Layer_5 and Layer_6, what sort of feature would likely cause a spike around pixel values 9-11. At first glance, I thought it was snow but after a little research I determined it was a glacier feature. The image we are looking at is within the state of Washington and around the Mt. Rainier area. This area is well known for its glaciers.

Finally, the third map we are required to identify a feature in the image of shallow water. I changed the image to better show the feature by using LandSat 5 TM Bathymetry Red: 3, Green: 2, Blue: 1. This enable me to easily identify the shallow water feature in the SW region toward the Pacific Ocean as an area where the feature was present.

Map1: Water Feature

Map2: Glacier Feature

Map3: Shallow Waters

Remote Sensing: Challenge 1: ERDAS Map Composition

http://students.uwf.edu/dwr6/Challenge1.xps

This is Challenge 1 for Remote Sensing and Photointerpretation class at UWF GIS online certification. I have produced this map in ERDAS. It is a image of the Pensicola area in NW Florida. I have highlighted the Naval Air Station in the SE region of the image and circle and labeled it. I also included the basic map design requirements of a neatline, a North arrow, and Scale Bar. I tried for very long to add a legend but with no success. I kept getting an error message " no Psuedo-color in selected region" Huhh?? I guess since we have to add the elements to the ovr. file extension and not the image itself that is why this might be occurring.

I had many problems with ERDAS this week. As with all new software, you must dredge through the learning process. I have lots of trouble with Adobe Illustrator in the beginning as well. However, after much practice I began to see the advantages of Adobe. I hope the ERDAS is the same.

Challenge 1: ERDAS Map Composition

This is the first challenge exercise in the summer term for Remote Sensing and Photo Interpretation. We were required to compose a map in map view in ERDAS software provided by UWF GIS online certification program. I included all of the elements required. I included a neatline, North arrow, and Scale bar. I could not add a legend although I tried for hours. I kept getting a error message stating the was no psuedo color for selected frame. HUHH???

I think the that ERDAS is a very challenging software package. As of right now I do not see any advantages over ArcMap and ArcCatalog. However, as with Adobe Illustrator I had many problems at first but with practice I began to see the advantages and I know that this will be the same for ERDAS.

Cartographic Skills Final Project: Spring 2010

Figure 1: The map above is a Chloropleth/Symbol map showing 2009 ACT composite score and percentage of graduating seniors taken thee ACT for each state. The map also emphasizes the relationship to states which have high rates for students taking test to lower overall testing scores.

Lorain Ohio Windfarm site

I chose this site just offshore of Lorain, Ohio. I chose this site because of the strong SW wind component of Lake Erie. This wind is strong here year-round but especially in the winter when the West to East flow weather pattern is prevalent. This site does not effect shipping lanes of Lake Erie. It is offshore so noise and flickering effect are negated. It is far enough offshore that visual impact is limited. There is a railroad that passes through Lorain, so importing supplies is not a problem. I personally do not belive that Ornithology is a problem. Birds have a natural sense to move up and down to avoid objects such as windmills(just an opinion).

Isarithmic Mapping

The first thing I did was to print the map of Georgia out so that I could easily practice drawing the Isolines.I had to think about how close I want the isolines to be to the given values.
My next hurdle was to outline the state of Geogia so that I had enclosed areas which I could use live paint to fill in. That is exactly what I did. After watching a few videos I was more confident with live paint and was able to break up the area into area of rainfall. I then filled them in. I added labels for each section and a legend, a north arrow, and text.
I dont know why it shifted to the right. huh That happened during the export of the map, not in the making of it.

Week 9: Flow Maps

I began this weeks assignment my producing a basemap in ArcMap. I then imported the basemap into Adobe Illustrator. Then in Excel, I was able to determiine the number of people coming from each continent and calculate the width of each arrow by using the formula provided.
I then added the arrows to the map in Adobe Illustrator, making sure that the appropriate width of each arrow was correct. I was able to do the legend in Illustrator and was able to import a north arrow.

Week 8: Dot Map

I began this week lab by performing a few calculations in our Excel program. I first summed the total houses in Florida and then divided by 2000 because that was the number suggested in the exercise. I then rounded that number to get whole numbers. Then divided all values by four. This is how I got the number of dots to put in each county.
Then I used Adobe Illustrator to add the required dots to each county. I took in consideration the area where people could not live like wetlands. I then added each dot personally to the map(over 1800). I then used Illustrator to make the map visually appealing. I do not know why it is shifted to the right. I could not correct it. I do believe that you can see very clearly the areas which are most densely populated or where housing is located.

Week 7 Proportionate Symbol Map

I began by importing a basemap from ArcMap to Adobe Illustrator. Then After doing the required calculation in Excel, I was able to decide how to divide the information into five categories(under 100,000, 100,000 - 300,000, 300,000- 1,000,000, 1,000,000 - 5,000,000, and over 5,000,000). I then picked four or five nations from each division to symbolize with the appropriate size symbol. I used France, Italy, Spain, and the United Kingdom for over 5 million gallons of consumption. I chose Portugal, Netherlands, Switzerland, Greece, and Sweden for 1 million to 5 million. I chose Ireland, Poland, Norway, Georgia and Finland for 3 hundred thousand to 1 million. I chose Belarus, Lithuania, Turkey, Cyprus, and Albania for 100,000-300,000. I chose Estonia, Azerbaijan, Iceland, and Faroe Islands for under 100,000.
The reason I chose these countries were they were available on the map and for esthetics of the map. Too many overlays with other countries.

Week6 Map2 Repost:

I was able to get rid of the mess on the map but was not able to resize the image to clean it up. Sorry.

Week6: Map2

I used Adobe Illustrator to manipulate the map I had originally done into greyscale. In order to figure out what tones to use, Excel was used to calculate different divisions of the U.S. and I displayed each region with a different greyscale to show increase in population percentage for each division.
New England: 6.1%
Middle Atlantic Division: 6.7%
East North Central Division:8%
West North Central Division: 7.6%
South Atlantic Division: 14.8%
East South Central Division: 11.7%
West South Central Divisio: 13%
Mountain Division: 29.6%
Pacific Division: 15.7%

Unfortunately after lokking at my post, I realized that all of the items I removed from Map 1 were actually posted with the map I had been working on. I hope to correct this tomorrow when I have time. I had to post it that way because of time constraints. Sorry!!!

Week 6: Map 1

This is the Cloropleth Map of the United States. It shows the percentage of change in population for each state between 1990 and 2000. I have set aside different data frames in order to get it all on one map. I used a destinctive color panel to emphasize the negative growth for Washington D.C. I also zoomed to that area as it is not easily seen at the national level and included it in my map. I added enhancement in Adobe Illustrator in order to have a pretty map.

Week 5: Map Composition

When I first began this project, I felt that all the aggrevation was not worth it in Illustrator. However, it seemed to finally get a bit easier once I understood the size of the windows. Then it was just a matter of making sure all the required elements were included.

Week 4: Adobe Illustrator Map

This is the third time I had to do this over. I hope this is what you wanted. I ran into some problems with saving maps and I had to do this one in a very short time period. I was not able to get replace the missing outline of Marathon Key as I had very litttle time to do project after as earlier projects were lost.Please take this into consideration.

Week 4 Maps: Projections

Module 3 Map 2

When interpreting the data for population of African Americans in Escambia County Florida, there was a greater number of regions with a very low population percentage. With this high number of low population over most parts of the county,I felt that this was the best representation of the data. Also in this map one can see the higher density of the African American population in and around the major cities which would be helpful if a company were targeting a specific audience.

Module 3 Map 1

I started this lab by showing all four methods on one map in order to get an idea as to which method was a better representation of the data given. In this map one can see the differences to each classification type and from this I was able to determine which types best fit the distribution African Americans in Escambia County Florida.