Photo Interpretation and Remote Sensing (GIS4035): Module 10

In this week's lab, we learned about how to create supervised classification of land use. ERDAS was utilized for this lab assignment. In the AOI tab, you can draw a polygon feature with the area of the spectral signature or you can use Growing Properties tool and select the spectral area. Both tools have to use Signature Editor to finalize the spectral signature. The map above is the land use of Germantown, Maryland.

Photo Interpretation and Remote Sensing (GIS4035): Lab 9

In this week's lab, we learned about Unsupervised Image Classification. We majorly utilized EDRAS for manipulate the pixels and sort them into their own classification groups. The image above shows the UWF Main Campus. There are five classifications which are Buildings/Roads, Grass, Mixed, Shadows and Trees. 

Photo Interpretation and Remote Sensing (GIS4035): Module 8

In this week's lab, we learned about the use of thermal imaging identify features based on the temperature that the object is emitting. The map above is identifying the temperature fluctuation in the bay area of Pensacola Beach.The heat islands near the bottom of the image are what caught my attention and then I notice the temperature fluctuation in the water in the bay area. The band combinations that I used for the feature to stand out are red – 3, green -2, and blue -7. The movement of the water’s fluctuating temperature can be seen when it get cooler as it touches the shoreline of Pensacola Beach.

Photo Interpretation and Remote Sensing (GIS4035): Lab 7

In this week's lab, we learned how to utilize EDRAS for a multispectral analysis of an aerial image. The image's histogram helped identify spikes in pixel values which help with deducing the features that match the pixel value of the spike. To enhances the features that were being identified, we changed the band combinations of the image and manipulated the contrast of the image. Also, we created NDVI to help differentiate the clearcut areas in the image that was provided. Here are the deliverables that we had to created of the features that we found for Lab 7.

Feature 1: The feature that I identified was a body of water. From the reading the histogram of Layer 4 and seeing the spikes between 12 and 18, this indicated that the map has a large portion of dark features in it. The feature that would match this is the body of water which is located in the southeast part of the map. The band combination that was used to make the feature stand out was Layer 4 for Red, Layer 3 for Green and Layer 2 for Blue. 

Feature 2: The feature that I identified was snowcapped mountains which are located in the northwest part of the map. Since the small spikes in pixel value was 200 through layer 1 through 4 and the large spike had a pixel value between 9 and 11 in layers 5 and 6, this indicated that the feature would lighter in layers 1 through 4 and the darker in layers 5 and 6. I examine the image in multispectral and the area that match this description was the snowcapped mountains. To verify that the mountains had the correct pixel values, the Inquire Tool was utilized. The band combination that was used was Layer 5 for Red, Layer 4 for Green and Layer 3 for Blue. 

Feature 3: Since we are identifying an area of water that are brighter than normal in layers 1 through 3, layer 4 is somewhat brighter, and layers 5 and 6 stay unchanged, the feature that was selected was a water feature which is located in the south central area of the map. I examine this feature in both greyscale and multispectral to identify it. The band combination that I used was True Color which is Layer 1 for Red, Layer 2 for Green and Layer 3 for Blue.

Photo Interpretation and Remote Sensing (GIS4035): Lab 6

In this week's lab, we learned to spatial enhance images using ERDAS Imagine and ArcMap. We learned about different types of filters that can spatial enhance a image which were high pass filter which creates more define edges to the features in the image and low pass filter were blurred the edges of the features. Also, Focal Statistics tool was also utilized during the lab created some of these filters' effects.

Photo Interpretation and Remote Sensing (GIS4035): Lab 5a

In this week's lab, we learned about using EDRAS IMAGINE Viewers for manipulating raster data. We were taught the basis of how to use EDRAS and how to create a subset image from raster data.

Photo Interpretation and Remote Sensing (GIS4035): Lab 4

In this week's lab, we had to use the previous data that we created in Lab 3. The data that was used was the aerial photograph of Pascagoula, MS and the LULC shapefile. We had to create a point shapefile called Truthing. This shapefile has 30 sample points to show the accuracy of the land use cover map. To identify if the points are accuracy or not, two categories were created and these categories are Accurate YES and Accurate NO.

Photo Interpretation and Remote Sensing (GIS4035): Lab 3

In this week's lab, we looked at an aerial photograph of Pascagoula, MS and determine the land use of each part of the town. After determining that land use, a code was assigned to each type of land use. ArcMap was utilized for this assignment which allow us to create a landcover of Pascagoula. We used the LULC land classification system and the level that was primarily used for the map was level II and there were some level III codes used as well.

Photo Interpretation and Remote Sensing (GIS4035): Lab 2

In this week's lab 2, the first exercise looked at identifying various tones and textures in an aerial photograph which shown in the map 1. In the second exercise, features had to be identified in the aerial photograph which is shown in map 2. The features that we had to identify were shape-size, shadow, pattern, and association. The last exercise, we had to select five features and note the color changes between a true color photograph and a false color photograph. This lab was very interesting since we were applying the knowledge of the recognition elements to our examination of these aerial photographs.

Photo Interpretation and Remote Sensing (GIS4035): Own Your Map

In this week's lab, we had to created a map showing the UWF Campus location in Escambia County, FL. The major rivers and interstate data had to clipped to the shape of Escambia County. This assignment was relatively easy to complete since I had already done this assignment before in the Intro to GIS course this Spring and this lab was like a refresher for me.