tag:blogger.com,1999:blog-26640907903256069272024-03-14T09:55:06.856-07:00GIS JournalAnonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.comBlogger53125tag:blogger.com,1999:blog-2664090790325606927.post-2507752125546710262016-10-27T18:13:00.001-07:002016-10-27T18:13:19.152-07:00Biscayne Shipwrecks: Analysis<div class="separator" style="clear: both; text-align: center;">
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjD0lnz7N3vDfqj-mY_L7c7X0yC_pJWxaORO8ldcxh5OCs04MLIA7HLyRp8OicMbIJfqts7aLssQ1Qo5YQNMCMf89o8TG6c213DST9vt0BYuyirrgViSmAGD-iL82eUBkyurkudQLRFShk/s1600/Biscayne_NP_week2_mp1.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="154" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjD0lnz7N3vDfqj-mY_L7c7X0yC_pJWxaORO8ldcxh5OCs04MLIA7HLyRp8OicMbIJfqts7aLssQ1Qo5YQNMCMf89o8TG6c213DST9vt0BYuyirrgViSmAGD-iL82eUBkyurkudQLRFShk/s200/Biscayne_NP_week2_mp1.jpg" width="200" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In this module we build up on the previous module to analyze the data. Using Buffers around the known shipwrecks, we found the types of sea floor types related to those ship wrecks. This way we can determine the types of environments that are conducive to ships wrecking.</span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjV4hLGvXgEk64hBWNe_p0DGEhZ_C6GarOSMgjVbO4ccesD3Z8bEV0oVAlXw4tpp9oUg_pwf0QLznUhZ2zLTIv__16RxetKCG1BSA-csKG5yoTUfuXXh1kcUFokCGDkkQg0R1xKNan0oiE/s1600/Biscayne_NP_week2_mp2.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjV4hLGvXgEk64hBWNe_p0DGEhZ_C6GarOSMgjVbO4ccesD3Z8bEV0oVAlXw4tpp9oUg_pwf0QLznUhZ2zLTIv__16RxetKCG1BSA-csKG5yoTUfuXXh1kcUFokCGDkkQg0R1xKNan0oiE/s200/Biscayne_NP_week2_mp2.jpg" width="154" /></a></div>
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<br />Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-46838614768223142362016-10-20T15:49:00.000-07:002016-10-20T15:49:31.860-07:00Biscayne Shipwrecks - Prepare Week<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiss4xl7Q7jsYTriyEOeDW7SQTKo1gFIigIYsYGcjYz1sY7aTL4dj0MY8pinXNRxCLVjMl0eYp5Wx0bpQHkUSX4JFULXl0uOtDMSpYIiQe7VRlBscdEkVa6mAijAmRZQwY2P5bfZlAGdV4/s1600/Biscayne_NP.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="247" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiss4xl7Q7jsYTriyEOeDW7SQTKo1gFIigIYsYGcjYz1sY7aTL4dj0MY8pinXNRxCLVjMl0eYp5Wx0bpQHkUSX4JFULXl0uOtDMSpYIiQe7VRlBscdEkVa6mAijAmRZQwY2P5bfZlAGdV4/s320/Biscayne_NP.jpg" width="320" /></a></div>
<span style="font-family: "courier new" , "courier" , monospace;">In this module we are using methods utilized in previous modules to analyze seafloor of Biscayne Bay in search of shipwrecks. Data used for this is somewhat different than for terrestrial analysis. We are using bathymetric data, as well as navigational charts, both current and historical. Navigational charts, especially historic ones must be georeferenced, which may be difficult to get vary close due to erosion and fluctuating coastline.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-70516015841414516732016-10-10T15:26:00.003-07:002016-10-10T15:27:11.160-07:00Scythian Landscapes - Report<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjYJRXXmCD9p0YFSOo2uk4PALCO6TUj3Kx0uPe8cM0YSu50L5efie-keK9eAonO0jPSL8oe7ZpbWbHvU2dF320xuFTiRnzoyvuqqIXCFuBATNl68CebDChVRINBOSZMikdM8x23M04ZOLA/s1600/Tuekta_Week3.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjYJRXXmCD9p0YFSOo2uk4PALCO6TUj3Kx0uPe8cM0YSu50L5efie-keK9eAonO0jPSL8oe7ZpbWbHvU2dF320xuFTiRnzoyvuqqIXCFuBATNl68CebDChVRINBOSZMikdM8x23M04ZOLA/s320/Tuekta_Week3.jpg" width="247" /></a></div>
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<span style="font-family: "courier new" , "courier" , monospace;">Data presented in this file shows
spatial distribution of known Scythian burial mounds. Data also shows random
points in the project area, and the probability of those points being a burial
mound site. Secondary surfaces generated for analysis were slope, aspect, and
elevation. Slope favored incline of less than 16%, aspect favored south facing
slopes, and elevation favored areas below 2000 meters. Linear regression method
used was Ordinary Least Squares analysis. Missing data includes mound site
distance from the river. Limitation of this model the limited number of points
used for spatial distribution of data.<o:p></o:p></span></div>
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<span style="font-family: "courier new" , "courier" , monospace;"> The OLS
results include the adjusted R-squared value of 0.697804, which means the
variables are explaining about 68% of site presence or absence. The
coefficients are not near zero, and are mostly positive, which means they have
a positive, direct influence on the data. The Spatial Autocorrelation test has
the following z-score and p-value values: z-score of 13.834296 and p-value of
0.00000. The combination of high z-score and low p-value indicates a normal
distribution of the data and spatially autocorrelated data.</span><o:p></o:p></div>
Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-18051412064127250062016-10-02T15:08:00.000-07:002016-10-02T15:08:08.136-07:00Scythian Landscapes - Analyze Week<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVjNBIVqg9aNmBTXm-TOWdIeA85S4-5zglb3dwo0PnZDHiF3ffNVL6j27Ud0e5v6gRZxQE9_EsG8dNh4s7FBvQ9A0yCA-Xae7CcFoP8-OlB3fV4b85t8jtPTP-HO-Uh0NZn5ILpai0iuo/s1600/Tuekta_Week2.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVjNBIVqg9aNmBTXm-TOWdIeA85S4-5zglb3dwo0PnZDHiF3ffNVL6j27Ud0e5v6gRZxQE9_EsG8dNh4s7FBvQ9A0yCA-Xae7CcFoP8-OlB3fV4b85t8jtPTP-HO-Uh0NZn5ILpai0iuo/s320/Tuekta_Week2.jpg" width="247" /></a></div>
<span style="font-family: "courier new" , "courier" , monospace;">In this part of the module we prepared base data for Landscape Modeling of the region. From the raster created last week we created, we created a number of separate data rasters. </span><br />
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<span style="font-family: "courier new", courier, monospace;">Using last week's raster I extrapolated elevation values for the area. I used those values to determine slope steepness, and slope facing. In this case South facing slopes were more favorable to slopes facing other directions. </span><span style="font-family: "courier new", courier, monospace;">I also created a contour map of the region.</span><br />
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<span style="font-family: "courier new", courier, monospace;">Lastly, I created a shapefile with locations of Scythian burial mounds.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-55944436596761669082016-09-25T14:24:00.002-07:002016-09-25T14:24:31.582-07:00Scythian Landscapes - Prepare Week<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgfRpIk0SOsjUNuPb4RzUrjQQvn33EBmfaX2Y4Qcht4sxJbzgvH4Y1caH3S5GfDrtcZPrPnhcPx3nWcyhYZmKQC92bE23Wvk6j7s0gnn6wGLw4B1gRfWPX88Vr7alfiLMOeUxHk4MwSo-Y/s1600/Tuekta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgfRpIk0SOsjUNuPb4RzUrjQQvn33EBmfaX2Y4Qcht4sxJbzgvH4Y1caH3S5GfDrtcZPrPnhcPx3nWcyhYZmKQC92bE23Wvk6j7s0gnn6wGLw4B1gRfWPX88Vr7alfiLMOeUxHk4MwSo-Y/s320/Tuekta.jpg" width="247" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">First part of Scythian Landscapes module focused on preparing the data. This involved finding and downloading DEMs of the area, and creating a raster mosaic out of them. Then the mosaic raster was clopped to the provided study area shapefile.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">Second part of the module was to take an aerial image of the mound site, and georeference it based on coordinates provided. Visual georeferencing was not possible, due to very poor resolution of the background image.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-72320334170044004482016-09-21T20:00:00.000-07:002016-09-21T20:00:09.770-07:00Predictive Modeling<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTADurfejo0LCn5awzuATIw58RoOEC0UlNJT6mRBlhmtpnwtiS0UbV7wI_lEsS7r3cJsmXbKFKBXvXPelFIRslsK_GqWAMFR7GGx1aIwowqJ8-rar4izzwlZhKQTa5fpfCStY9zy7bUEg/s1600/Module_5.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTADurfejo0LCn5awzuATIw58RoOEC0UlNJT6mRBlhmtpnwtiS0UbV7wI_lEsS7r3cJsmXbKFKBXvXPelFIRslsK_GqWAMFR7GGx1aIwowqJ8-rar4izzwlZhKQTa5fpfCStY9zy7bUEg/s320/Module_5.jpg" width="247" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In this module we performed predictive modelling of an area. The model was divided into three site categories, high, medium and low probability. These categories were based on slope and proximity to a waterway.</span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;">First I created a raster out of a mosaic of smaller rasters. Then I extrapolated elevation values for the area. I those values to determine slope steepness, and slope facing. In this case South facing slopes were more favorable to slopes facing other directions. Lastly I used a separate shapefile of streams and rivers in the area, created a buffer around it representing optimal settlement distance from the waterway. Lastly I combined the slope and waterway data to determine site probability in the area.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-92039309232518956472016-09-12T16:27:00.000-07:002016-09-12T16:27:22.251-07:00Finding Pyramids<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiyI9PhUvRiVyoWPqUFav1iY478dlkKXlp92lVfwojKnfcMN2ZXO5XAuFQFNbjAn4updwPBWQQDx66KnXiLjh3075dHS7BAFKhkuATRw6HpdROOsyj1NusEQdixZqMj-nxVIeKttxD-7hQ/s1600/AnkorWatBackground.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiyI9PhUvRiVyoWPqUFav1iY478dlkKXlp92lVfwojKnfcMN2ZXO5XAuFQFNbjAn4updwPBWQQDx66KnXiLjh3075dHS7BAFKhkuATRw6HpdROOsyj1NusEQdixZqMj-nxVIeKttxD-7hQ/s320/AnkorWatBackground.jpg" width="247" /></a></div>
<span style="font-family: "courier new" , "courier" , monospace;">During week 3 we identified possible pyramid locations in densely forested areas. The map included here shows area surrounding Angkor Wat it Cambodia. </span><br />
<span style="font-family: "courier new" , "courier" , monospace;"><br /></span>
<span style="font-family: "courier new" , "courier" , monospace;">The supervised classification is based on false color infrared base raster image. Considering the base color band combination, any possible pyramid sites will be very difficult to spot, if not impossible. This is in part due to healthy vegetation overgrowing the ruins showing in the same shades and tones as all other healthy vegetation.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-7251628605653372272016-09-04T18:57:00.001-07:002016-09-04T18:57:32.190-07:00<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEijT38kS5ju0YeCzfHonI4QuMoxyCNT_VZUpYZsWI-gNCkBzhxWswmB9Bx8Kh2SzTe4MDIz98r1Rr5T0KrL8ZavgoUU3PcquHtCbNm410oBlirdyj00RZjFMTQY3GIYumtW4LxeWKE1Iag/s1600/Zarychta_Maya_PyramidsWk2.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="154" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEijT38kS5ju0YeCzfHonI4QuMoxyCNT_VZUpYZsWI-gNCkBzhxWswmB9Bx8Kh2SzTe4MDIz98r1Rr5T0KrL8ZavgoUU3PcquHtCbNm410oBlirdyj00RZjFMTQY3GIYumtW4LxeWKE1Iag/s200/Zarychta_Maya_PyramidsWk2.jpg" width="200" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">NDVI False Color measures greenness </span><span style="font-family: "Courier New", Courier, monospace;">of the vegetation. It measures the </span><span style="font-family: "Courier New", Courier, monospace;">difference between the Red and Near </span><span style="font-family: "Courier New", Courier, monospace;">Infrared bands.</span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;">Lyr 451 depicts healthy vegetation in </span><span style="font-family: "Courier New", Courier, monospace;">shades of reds, browns, oranges and </span><span style="font-family: "Courier New", Courier, monospace;">yellows. Opened, developed areas </span><span style="font-family: "Courier New", Courier, monospace;">appear in shades of white and near </span><span style="font-family: "Courier New", Courier, monospace;">white colors. Adding mid infrared band </span><span style="font-family: "Courier New", Courier, monospace;">allows for detection of stages of plant </span><span style="font-family: "Courier New", Courier, monospace;">growth or stress.</span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;">Supervised Classification allows us to </span><span style="font-family: "Courier New", Courier, monospace;">assign certain pixel values to specific </span><span style="font-family: "Courier New", Courier, monospace;">objects. In turn, ArcMap extrapolates </span><span style="font-family: "Courier New", Courier, monospace;">those values to the entire image.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-53657024816916790132016-08-29T21:07:00.000-07:002016-08-29T21:07:16.529-07:00Module 01 - Finding Maya Pyramids: Interpreting Remote Sensing Imagery for Archaeology<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmh88whzJocuE2kuG2E8r46zfyx7-iHG19Xaao6EFHAr3AJQU6hZstGA2gNtZeSrabgg39qrdTwD7HZXoSS9KOQG5vlMgcGi0e2Jeos3xSmM89LXMvgr7f8BuQB23JXj1Eps3scn12Cl8/s1600/Maya_PyramidsWk1.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmh88whzJocuE2kuG2E8r46zfyx7-iHG19Xaao6EFHAr3AJQU6hZstGA2gNtZeSrabgg39qrdTwD7HZXoSS9KOQG5vlMgcGi0e2Jeos3xSmM89LXMvgr7f8BuQB23JXj1Eps3scn12Cl8/s320/Maya_PyramidsWk1.jpg" width="247" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In module one we learned to use different combinations of color bands to create aerial images emphasizing various aspects of the image.</span><br />
<span style="font-family: Courier New, Courier, monospace;">The top image is false color infrared, combining red, green, and near infrared bands. It is useful for identifying types and health of vegetation.</span><br />
<span style="font-family: Courier New, Courier, monospace;">Middle image is true color, composed of blue, green, and red bands. It makes identifying certain features easier, since they appear on the image the same way they appear in real life.</span><br />
<span style="font-family: Courier New, Courier, monospace;">The bottom image, Landsat 8, while it provides only shades of gray, it has the highest resolution of the three images.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-59982200283681362102016-08-04T16:50:00.000-07:002016-08-04T16:50:49.723-07:00Module 10 - Final Research Project<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgpirTy_Q1RTRH6N15LRz8dyUR6ZEtH9N7isZbSgO1nsVBRp25NRvulyVFEZspJXjMYbHqn5GIfI2QaneakV6KLaHJmj0J3ZgkTmLuqWXbmV8wNuwJE4oj_D9ImNvAi7rCC0Fi4rZPRq4c/s1600/Final_IIIA.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgpirTy_Q1RTRH6N15LRz8dyUR6ZEtH9N7isZbSgO1nsVBRp25NRvulyVFEZspJXjMYbHqn5GIfI2QaneakV6KLaHJmj0J3ZgkTmLuqWXbmV8wNuwJE4oj_D9ImNvAi7rCC0Fi4rZPRq4c/s200/Final_IIIA.jpg" width="154" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZMIrNT9f1T_UPjRiRdWZFNolkCSKNHCgPqueDs5Dke8BQSkv2FJg7Gx8gfWLklKsdC5Y9vhTmeZaciiLnAJY2zFG9kqp4ORkLo_z5b8xN7xZUw0muIppQafU0ONRL0OIKPHuELaEtDNk/s1600/Final_IIIB.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZMIrNT9f1T_UPjRiRdWZFNolkCSKNHCgPqueDs5Dke8BQSkv2FJg7Gx8gfWLklKsdC5Y9vhTmeZaciiLnAJY2zFG9kqp4ORkLo_z5b8xN7xZUw0muIppQafU0ONRL0OIKPHuELaEtDNk/s200/Final_IIIB.jpg" width="154" /></a><span style="font-family: Courier New, Courier, monospace;">My final project examines increase of catchment area of a community through creation of satellite communities. I examined Monte Alban IIIA and IIIB periods in the area directly around Monte Alban itself.</span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;">To get the data I needed, surface area statistics, I georeferenced and digitized the soil maps, then created separate shapefile with only the arable areas. Next I digitized the sites and created 1 Km buffer around them to represent the catchment area. The important part of this step was to "dissolve all" buffer zones, in order to create a single large area, rather than a number of overlapping circles. Then I clipped the soil map to the catchment area, create Thiessen polygons to divide the catchment area between all sites, and calculated surface areas for various types of soils.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-88796964609178740412016-07-10T13:20:00.001-07:002016-07-10T13:20:34.776-07:00Module 09 - Remote Sensing<div class="separator" style="clear: both; text-align: center;">
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<span style="font-family: Courier New, Courier, monospace;">In module 9 we classified data gathered with remote sensing techniques in two ways: unsupervised and supervised.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">In unsupervised classification, we let the software classify pixels into a number of predetermined classes. The downside of this type of classification is that number of categories can overlap. Also some vastly different features may be assigned into the same category, because the shade and tone of their pixels is identical, or nearly so. In case of my unsupervised classification, ArcMap combined water and smooth surfaces such as roof tops into one category.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">In supervised classification, we determine a number of points on the raster image, and assign each point a predetermined category (grass, trees, pavement, etc.). We then let the software process all the pixels, and assign them into the predetermined categories. This is still not without issues, as my buildings category and pavement/bare ground categories got combined, but there was a lot less redundant classification.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-6575741326535117272016-07-04T10:39:00.001-07:002016-07-04T10:39:03.342-07:00Module 08- 3D Modeling<div class="separator" style="clear: both; text-align: left;">
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<span style="font-family: "Courier New", Courier, monospace;">In module 8 we created a 3d image of subsurface soil horizons. This process involved interpolating depth data from the shovel test information to create raster files representing elevation of each soil horizon. Then, using ArcScene, we displayed those rasters in a 3d image. To make the image easier to read, we increased the vertical scale, this created a comfortable distance between layers.</span></div>
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<span style="font-family: "Courier New", Courier, monospace;">When looking at the shovel test data, we split it into three separate layers, one for each horizon, and assigned each horizon a different color. In both Fig 2 and 3 yellow represents A horizon, green B horizon, and purple C horizon.</span></div>
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<span style="font-family: Courier New, Courier, monospace;">Figure 4 is missing A horizon because there was no data associated with the given shapefile. While surface data may be available, it would most likely be inaccurate, because the initial data was not gathered from a site datum point, but from the surface. And depending on the region, surface can quickly change for many reasons, such as weather, land usage, etc.</span></div>
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<tr><td class="tr-caption" style="text-align: center;">Fig 2. Shovel Test data, divided into soil horizons.</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">Fig 1. Project area boundaries, horizontal and vertical.</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">Fig 3. Proposed subsurface line in the project area.</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">Fig 4. Soil horizons: B on top, C on the bottom.</td></tr>
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Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-51948118382554869752016-06-28T19:46:00.000-07:002016-06-28T19:46:10.147-07:00Module 7- Surface Interpolation<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQ9zRYdABRUbXFV5X-vydCbAg88vLszJR-QIZ5vWIpIzAvkgUoHOjwsclUy-jYP4E6T3sc3oSIPulTr7TkNgb2Ja82NHMxvbozyT5rc9aU3FjEbPPqVP5WI1U54fDaP_e7ucD5qGH48TA/s1600/Zarychta_Module7.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="142" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQ9zRYdABRUbXFV5X-vydCbAg88vLszJR-QIZ5vWIpIzAvkgUoHOjwsclUy-jYP4E6T3sc3oSIPulTr7TkNgb2Ja82NHMxvbozyT5rc9aU3FjEbPPqVP5WI1U54fDaP_e7ucD5qGH48TA/s200/Zarychta_Module7.jpg" width="200" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiso3nM-zO7w3fyOS4S0xmXjts0Up8SZtfnad3h09E1g6cOFp1yVFFqhZnzk1m8ZKwnfLjGSTXC83_72lSHzyPqknS8K9zn4Zf1dutUv0t8ZoU6yq4W0vIRiAAVgshoLm-_6ab4E7wH4tU/s1600/Zarychta_Module7p2.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="142" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiso3nM-zO7w3fyOS4S0xmXjts0Up8SZtfnad3h09E1g6cOFp1yVFFqhZnzk1m8ZKwnfLjGSTXC83_72lSHzyPqknS8K9zn4Zf1dutUv0t8ZoU6yq4W0vIRiAAVgshoLm-_6ab4E7wH4tU/s200/Zarychta_Module7p2.jpg" width="200" /></a><span style="font-family: Courier New, Courier, monospace;"></span><br />
<span style="font-family: Courier New, Courier, monospace;"><span style="font-family: Courier New, Courier, monospace;">In the first part of module 7 we learned to import text and AutoCAD data into ArcMap. This usually involved converting the data into a correct table format,</span> adding appropriate column headings, and assigning projection, if known.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">In the second part of the module we learned to interpolate surface data based on known data points. This information can in turn be used to get an idea what the site looked like during the time period we are studying, or to narrow down good places for further studies of the site.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-69112318137925490202016-06-19T20:06:00.000-07:002016-06-19T20:06:29.200-07:00Module 06- Digitizing<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9803ERgvVlNq0dueDmp2ye1r1ez33LObEY4Dzq_2UXtytUL7swnyLApi18Yh6A7v3sxVbuqI85m5iVaoGEZvpvaq9NTghS50XXl7C4eQmc4moxkKUh5RKXmCVM1D8nS-3tHuZIdB7eUw/s1600/Zarychta_Module6_N4E6.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9803ERgvVlNq0dueDmp2ye1r1ez33LObEY4Dzq_2UXtytUL7swnyLApi18Yh6A7v3sxVbuqI85m5iVaoGEZvpvaq9NTghS50XXl7C4eQmc4moxkKUh5RKXmCVM1D8nS-3tHuZIdB7eUw/s200/Zarychta_Module6_N4E6.jpg" width="154" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgm7BaOBVZdJqbMfX7BWtGyCGJSkOXVfvFxLjgQC67AxjMHyIDhECgBzPYi7bo1ukFS47X_wsbBr4pw7JvVhHXh8Qe-HeTPq2EelBJAB-TAkh6GK8l_6Unocpyb_sBwC6qXZADgNlh19W4/s1600/Zarychta_Module06_N3E3.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgm7BaOBVZdJqbMfX7BWtGyCGJSkOXVfvFxLjgQC67AxjMHyIDhECgBzPYi7bo1ukFS47X_wsbBr4pw7JvVhHXh8Qe-HeTPq2EelBJAB-TAkh6GK8l_6Unocpyb_sBwC6qXZADgNlh19W4/s200/Zarychta_Module06_N3E3.jpg" width="154" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjw-nCsCJyVoc-N1olzBM5scfi60vmfKUhj5QIdvxQH_YDuoh8GK_4ftcgvqJqkPFvVdzdXjgKUPpwxsnp50lRvSWmFUlUL1SQZzPPRujGJCUvuhhSESu3a3agxxmlY_A8HwCNXc6sF0uE/s1600/Zarychta_Module6_N3E4.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjw-nCsCJyVoc-N1olzBM5scfi60vmfKUhj5QIdvxQH_YDuoh8GK_4ftcgvqJqkPFvVdzdXjgKUPpwxsnp50lRvSWmFUlUL1SQZzPPRujGJCUvuhhSESu3a3agxxmlY_A8HwCNXc6sF0uE/s200/Zarychta_Module6_N3E4.jpg" width="154" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgf4X9h3BnBUqFNDT7Rh0rcGeet_JJjV64aaPSGhpNunm0-jD3KG78gb0V1qCZHIGAY_kqq0sdM0_Cv87VXebR4RILINIJrjEgj3RQ-nZ32pz_aXYa4S3lqHUZ0ja8i9mhhL_7o4FW82qs/s1600/Zarychta_Module6_N4E6_Linked.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgf4X9h3BnBUqFNDT7Rh0rcGeet_JJjV64aaPSGhpNunm0-jD3KG78gb0V1qCZHIGAY_kqq0sdM0_Cv87VXebR4RILINIJrjEgj3RQ-nZ32pz_aXYa4S3lqHUZ0ja8i9mhhL_7o4FW82qs/s200/Zarychta_Module6_N4E6_Linked.jpg" width="154" /></a><span style="font-family: "Courier New", Courier, monospace;">In module 6 we learned to digitize old maps, and linking data tables to the shapefile's attribute table. </span></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFQ1DluuYW3_1hf-IXRcQWJ4LZF30r48nJQUQpXaO_pzlQDe-NHLH5GN3diRTEekWbBU7J23-XFQgttEwTPnFZVLXQZejvRk2bHmgo7IiOg1TDRefz57NqhS4KAVS6ovUKaQN4I3UaJLY/s1600/Zarychta_Module6_Grid.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="154" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFQ1DluuYW3_1hf-IXRcQWJ4LZF30r48nJQUQpXaO_pzlQDe-NHLH5GN3diRTEekWbBU7J23-XFQgttEwTPnFZVLXQZejvRk2bHmgo7IiOg1TDRefz57NqhS4KAVS6ovUKaQN4I3UaJLY/s200/Zarychta_Module6_Grid.jpg" width="200" /></a><span style="font-family: Courier New, Courier, monospace;">First step in digitizing old maps is to georeference them, which was covered in <a href="http://lukasgis.blogspot.com/2016/06/module-05-georeferencing.html">module 5</a>. The challenge in this exercise was in aligning independent site grids to a separate map showing the grid distribution. The problem was the poor quality of the grid distribution map, and parts of the grid were not visible and I had to interpolate the the full grid. In addition a lot of site grids were difficult to read, as a lot of notes on the maps were difficult to read, either due to poor hand writing or poor scan quality.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">The second part of the exercise was to join a data table to the shapefile's attribute table. The challenge here is to create a data table from the old maps and reports that you are digitizing.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-11734624790758157572016-06-05T17:31:00.000-07:002016-06-05T17:31:40.459-07:00Module 05 - Georeferencing<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRCRfpZRBWWQOz1D_iLuLrRoxsveURr2l19qs5M3dlXkDz7XkU-uzaUkP4EYI5LZUFvWUaFjb6Q65Odw0_xyLggAQs5bxJAz44pGstcyjGmOThCs0zzpt6viM3D377Jv-IKqZKpdn390k/s1600/Lukas_Zarychta_Module_5.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRCRfpZRBWWQOz1D_iLuLrRoxsveURr2l19qs5M3dlXkDz7XkU-uzaUkP4EYI5LZUFvWUaFjb6Q65Odw0_xyLggAQs5bxJAz44pGstcyjGmOThCs0zzpt6viM3D377Jv-IKqZKpdn390k/s200/Lukas_Zarychta_Module_5.jpg" width="154" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In module 5 we learned to georeference images, historic maps in this case. Georeferencing means taking an image such as a historic map, aerial photo, etc., overlaying it on top of an already georeferenced map and adjusting it to correspond with georeferenced points.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">Once you acquired a historic map or aerial photo, you need to import it into ArcMap. Also set up a background map to use as a reference. It may be helpful to import an additional background map, either street map or a topo map. This can make georeferencing easier. Then using Georeference Tool, link points on your image to the georeference background. The more linked points the better. These points may be topographical features such as island shores, hills, rivers. They may also be anthropological features: houses, roads, etc. You just need to keep in mind that a lot of these features may have changed over time.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-46112763882789927372016-05-30T13:08:00.000-07:002016-05-30T13:08:06.042-07:00Module 04 - Historic <div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiu4pOMGbAo3wMP3fRzpbvLnzmMoSMAuEKlxODkAk_dksSUIY7TVYJtig9UF7XnlK4s2PDZjYh22sYvoUtkHyblQwzQ_snsymAvweFTbgOgYvTgNYAX2kvNESt3v3ppzqGpRXXFVZSEC2Y/s1600/Lukas_Zarychta_FreedomTrail.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiu4pOMGbAo3wMP3fRzpbvLnzmMoSMAuEKlxODkAk_dksSUIY7TVYJtig9UF7XnlK4s2PDZjYh22sYvoUtkHyblQwzQ_snsymAvweFTbgOgYvTgNYAX2kvNESt3v3ppzqGpRXXFVZSEC2Y/s320/Lukas_Zarychta_FreedomTrail.jpg" width="247" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In Module 4 we learned to find and incorporate historic data into maps. First part of the assignment was to find the historic data. While the historic map of Boston was provided by UWF, we used Ancestry.com to get census information about Paul Revere. </span><br />
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<span style="font-family: Courier New, Courier, monospace;">Second part of the exercise focused on incorporating data into a map. This included creating internal and external links. External links hyperlink to Google Maps, the location in Boston with Paul Revere's house in. Internal links includes an image of a page from 1790 census, including entry for Paul Revere.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-21207880428114787952016-05-23T21:29:00.000-07:002016-05-23T21:29:41.272-07:00Module 03 - Ethics<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiubSUfz3p4zZCb04Q11wl74_b_5TAq7xlh0fQlWJEfMSHjfG78Rha_RZjFSGJqEj0RVd8JU7FqT7c6wPdLdpNhfy-AFad267UwYFoj8e1z0O9hNKfmSCAxBV_QT5R7tVLcNt41NaehHR4/s1600/Module_3_Lukas_Zarychta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiubSUfz3p4zZCb04Q11wl74_b_5TAq7xlh0fQlWJEfMSHjfG78Rha_RZjFSGJqEj0RVd8JU7FqT7c6wPdLdpNhfy-AFad267UwYFoj8e1z0O9hNKfmSCAxBV_QT5R7tVLcNt41NaehHR4/s200/Module_3_Lukas_Zarychta.jpg" width="154" /></a><span style="font-family: Courier New, Courier, monospace;">In module 3 we covered the importance of ethics in archaeology. The reading points out that the need for codified ethics rules rose up from the wide spread of commercial archaeology. While I believe that is certainly not wrong, one cannot forget that until recently academia led archaeology was nothing more than glorified looting, to be shown off in the looter's national museums as a trophy. Any talk about ethics in archaeology cannot be focused on one aspect, such as CRM, but on all aspects. Academia is certainly not immune from people trying to profit from archaeological findings.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">The lab for module 3 focused on creating shapefiles. This was done by either manually creating a point, and creating a shapefile out of it, or by importing a data table into ArcMap. The data table contained fields with site name, site description, and Lat and Long of the site. Once imported and converted into a shapefile, it displayed all the site in the database. When looking at the attached map, Petra site (in blue) is the manually created shapefile. All other sites come from a database that was converted into a shapefile.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-13718568338046691552016-05-15T16:30:00.000-07:002016-05-15T16:30:17.575-07:00Module 02 - Queries and Clips<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgPp_LfSyAjjSf43B5SzD89QevH4Gm_vFYBgcXvL32jyij5Mi_KOwHnWo-Itz6lLqR9CFClMRYqdFEZO4dhs2qKQ2czIjhuR56SRMAUkYcxyLS0a75OAiTJ6t7P0ej5fHq5gjY07aUaJBw/s1600/Module02_Lukas_Zarychta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgPp_LfSyAjjSf43B5SzD89QevH4Gm_vFYBgcXvL32jyij5Mi_KOwHnWo-Itz6lLqR9CFClMRYqdFEZO4dhs2qKQ2czIjhuR56SRMAUkYcxyLS0a75OAiTJ6t7P0ej5fHq5gjY07aUaJBw/s320/Module02_Lukas_Zarychta.jpg" width="247" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In Module 02 we learned to perform SQL queries and to use the Clip tool of ArcMap. In this module we used these techniques to compare the areas and landmarks of Chicago before, and 20 years after the Great Chicago Fire.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">The SQL query is a very useful tool for selecting a range of data from a larger database. The query is done by inserting an equation referencing file's attribute table into the tool. Once the query is run, the newly selected data can be exported into a separate shapefile. This provides a quick and relatively easy way to separate a large shapefile into a number of smaller ones that may offer more specific information. In the case of the Chicago Fire map, I have taken a shapefile with landmarks in Chicago, and created two separate file, one with all the landmarks build before the fire, and one with landmarks build between 1871 and 1890.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">The Clip tool simply takes a shapefile, and removes all data from it that falls outside of another, related shapefile. In the case of the Chicago Fire map, once I had the pre 1871 landmark file, and 1871-1890 landmark file, I clipped to their respective city shapefiles. The pre 1871 landmarks file was clipped to the Chicago 1869 map, thus removing all landmarks outside the city limits. The 1871-1890 landmark file was clipped to the Chicago 1890 map, again removing all landmarks that fell outside the city limits at the time.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-33395728777900279372015-12-08T15:28:00.001-08:002015-12-08T15:28:30.435-08:00Final Project - Land Cover Change<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLXnQld3XW0jeN2BRDMg4zVHvYrfc3w0N0meEujPN3p8oRNi2iq7Yk9klWL8z8ryImwVyZ-WeBxyYXfCDgwH1QU3WCxsf-5C6AsxR4SCoYtIYUmhp896fJuQ_cn1-yMc2j_5DMrWOnqhE/s1600/Final_Lukas_Zarychta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLXnQld3XW0jeN2BRDMg4zVHvYrfc3w0N0meEujPN3p8oRNi2iq7Yk9klWL8z8ryImwVyZ-WeBxyYXfCDgwH1QU3WCxsf-5C6AsxR4SCoYtIYUmhp896fJuQ_cn1-yMc2j_5DMrWOnqhE/s320/Final_Lukas_Zarychta.jpg" width="246" /></a><span style="font-family: Courier New, Courier, monospace;">For my final project I compared images of the Lake Tahoe region from 1999 and 2010, and compared the land use/cover over those time periods. I used data provided for the final, which included images of the region in those two time periods.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">First I used Stack tool in ERDAS to combine multiple band files of the 2010 image. Then I used Subset and Chip tool to reduce the size of the of the 2010 image to be the same as the 1999 image. This was done using the Inquire box, and I repeated the process for the 1999 image, just to be sure that both images cover the same area.</span><br />
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<span style="font-family: 'Courier New', Courier, monospace;">Then I performed an Unsupervised Classification on each image. Once completed, I reclassified the data into eight groups, and calculated area in acres for each group. Then I could manually calculate the percentage of land cover of each of the eight groups.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-9551003774236832632015-11-08T18:27:00.001-08:002015-11-08T18:27:33.142-08:00Module 10 - Supervised Image Classification<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCrhgJCNiepAFRIb-AcFuJ66yjcM5Zfp6c83CgxLQ4D554NNZUFxua4ykNmHUCCY_kHyaSeAu5gy_tyK4Dp4uAnxi6OlQq-2RUXDuquTldHJYJr4clCwhKLbeJkzTVZTluMiVxMXAEyu4/s1600/Lab10_Lukas_Zarychta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="154" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCrhgJCNiepAFRIb-AcFuJ66yjcM5Zfp6c83CgxLQ4D554NNZUFxua4ykNmHUCCY_kHyaSeAu5gy_tyK4Dp4uAnxi6OlQq-2RUXDuquTldHJYJr4clCwhKLbeJkzTVZTluMiVxMXAEyu4/s200/Lab10_Lukas_Zarychta.jpg" width="200" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In Module 10 we learned to create a supervised classification of data. This process begins with manually creating signature points. These points train the software to look for similar pixels and assign them to an appropriate category. Once all categories are created, and each category may have multiple signature points, it is wise to look for Spectral Confusion.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">By looking at Histogram Plots and Mean Plots we can see which categories may be overlapping, thus assigning pixels to the incorrect classification. Creating Distance image helps to identify areas that are likely to be mislabeled. After using above tools to determine which spectral bands are closest together, we can change the spectral bands of the image to minimize Spectral Confusion. Once all that is done we can combine like categories into a single category, such as Agricultural 1 and Agricultural 2 into Agricultural.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">Once above steps are done we move from ERDAS Imagine to ArcMap to complete the map.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-49076508723313016612015-11-01T13:38:00.001-08:002015-11-01T13:38:45.829-08:00Module 9 - Unsupervised Image Classification<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-lVhWiDXzywf2zv70HsJE_T9dj-PCU7xVC9ZVyjZvf3BLI_K3zHVMOwDVMMhvX1HgblxlzcN1FeFBDZtefNeNCPxH5BS3I-OGxI3WnTW_DRjesCT_px17OXHuU3tOdv2yK4h-5Uu5FM8/s1600/Lab9_Lukas_Zarychta.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-lVhWiDXzywf2zv70HsJE_T9dj-PCU7xVC9ZVyjZvf3BLI_K3zHVMOwDVMMhvX1HgblxlzcN1FeFBDZtefNeNCPxH5BS3I-OGxI3WnTW_DRjesCT_px17OXHuU3tOdv2yK4h-5Uu5FM8/s320/Lab9_Lukas_Zarychta.jpg" width="247" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">The map on the left shows unsupervised classification of an area.Unsupervised classification relies on the software to classify the pixels. Once classified I manually assigned each type of pixel into one of five categories, and gave each category a unique and distinctive color.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">Most of the process was done in ERDAS Imagine. First, to classify the image into 50 distinct pixel categories. Then, to manually assign each pixel to a new category. Lastly, ArcMap was used to create the final map.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-63766339668157968352015-10-25T13:29:00.000-07:002015-11-01T13:26:25.589-08:00Module 8 - Thermal Imagery<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1NTRTnb5_hUj_eaiBl7WpbzwFdWVwuIQDebdGmAXbYPgyWFoAm2GtuoQqFfWQnaPVpemN-NXwyjsmIMTStYgUTVGNFNHHyv8HAzO3IOLbFjSqD-iDaeVn0XebPCJLECKcjcLR9QEOXbE/s1600/Lab8_Lukas_Zarychta.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="154" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1NTRTnb5_hUj_eaiBl7WpbzwFdWVwuIQDebdGmAXbYPgyWFoAm2GtuoQqFfWQnaPVpemN-NXwyjsmIMTStYgUTVGNFNHHyv8HAzO3IOLbFjSqD-iDaeVn0XebPCJLECKcjcLR9QEOXbE/s200/Lab8_Lukas_Zarychta.jpg" width="200" /></a><span style="font-family: Courier New, Courier, monospace;">This map shows the shallow waters along the coast to the West of the gap, located at x: 470000 and y: 3355000. The water West of the gap is much warmer, as shown by the yellowish striations. The water on the East side of the gap is much deeper, as shown by the blue color, lacking the warmth represented by yellow. The actual striation in the warm, shallow water are caused by waves and tidal action that is more pronounced in the shallow waters.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">I found this feature as I was looking along the coast and I noticed that the seas side of the coastline showed a lot of temperature variation between the coastal water on the east and west side of the gap. After examining aerial photos, there did not seem to be any correlation between water temperature and urban development along the coast.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">Using the band combination of Red 2, Green 1 and Blue 6, the warm, shallow water displayed in yellow. In contrast vegetation and most of urban areas display in blue, and cool , deep water pourple-blue.</span><br />
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Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-13653749922318843992015-10-19T18:53:00.000-07:002015-11-01T13:26:18.294-08:00Module 7 - Image Preprocessing 2: Spetral Enhancement and Band Indices<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNYcEkv-tdXyiKETfNLmzN685eluY5aP2W3ypdoaCir5Xt9nwcb__eFHzm3pL6eNizep-XFX7gq-no6zsmptWp13aDBnV3u6sSwfkZLrtzD-gA-BrbdTsEcz0S9rQlkK0O3gZ9dCC-12c/s1600/Lab7_Map1_Lukas_Zarychta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNYcEkv-tdXyiKETfNLmzN685eluY5aP2W3ypdoaCir5Xt9nwcb__eFHzm3pL6eNizep-XFX7gq-no6zsmptWp13aDBnV3u6sSwfkZLrtzD-gA-BrbdTsEcz0S9rQlkK0O3gZ9dCC-12c/s200/Lab7_Map1_Lukas_Zarychta.jpg" width="154" /></a><br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj-5_cFoO8dE4sGCPOQxPi8k3A_ls-GR3sAThLG92FsrNMW95fhHeCPcLdCUjba3MdaVft0FtG2wE6FaWmGSB5W1kWvNwJb6o8S65BTn8vDNwayiHOhYAng8wIwXN1uShm4E0CAujLG840/s1600/Lab7_Map2_Lukas_Zarychta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj-5_cFoO8dE4sGCPOQxPi8k3A_ls-GR3sAThLG92FsrNMW95fhHeCPcLdCUjba3MdaVft0FtG2wE6FaWmGSB5W1kWvNwJb6o8S65BTn8vDNwayiHOhYAng8wIwXN1uShm4E0CAujLG840/s200/Lab7_Map2_Lukas_Zarychta.jpg" width="154" /></a><br />
<span style="font-family: Courier New, Courier, monospace;">In Lab 7 we learned to locate and identify surface features based on their pixel value. Using tools provided by ERDAS Imagine Histogram tool I found the specific peaks in pixel values. Then using the Inquire Cursor I located areas on the image that matched those pixel values.</span><br />
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<span style="font-family: Courier New, Courier, monospace;">Then I identified those areas, and adjusted color bands to bring out areas of interest from their background. In the case of the second map, the snow capped mountain peak, no adjustment from true color was needed. This is because white snow cap clearly stands out from the mountain and vegetation color. Third image is that of shallow water with heavy sediment load. The challenge was to bring out the sediment pattern in the water. Under most band variations the sediment pattern was very difficult or impossible to distinguish from deep water. However using red 4, green 2 and blue 1, the eddies in the water popped out very clearly.</span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhN_3Ov81JTlWeVv7LNwYTZyn8sDPMvM1Q7L2YZXiVKo_rv1UxnsYpZMaF6j44Jzwh3XstpHd50J7nNeNTZo0CO2z9pXZHOfi19czJArnfiVHjXxgQgYYDWUr4H-TV6jvhaARu7lIrngfs/s1600/Lab7_Map3_Lukas_Zarychta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhN_3Ov81JTlWeVv7LNwYTZyn8sDPMvM1Q7L2YZXiVKo_rv1UxnsYpZMaF6j44Jzwh3XstpHd50J7nNeNTZo0CO2z9pXZHOfi19czJArnfiVHjXxgQgYYDWUr4H-TV6jvhaARu7lIrngfs/s200/Lab7_Map3_Lukas_Zarychta.jpg" width="154" /></a></div>
Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-77858727795373518992015-10-12T14:56:00.000-07:002015-11-01T13:26:08.823-08:00Module 6 - Image Preprocessing 1: Spatial Enhancement and Radiometric Correction<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-xKIPg_up7-SJfU-r1QHYnpnAVh_Jc4E-qPYtztiYwkq2aTMVYUMQLi16sea4bP2PcGPr5XnJToiTrnwSf3q9ljHT1ECtVzZb3mrZrGdThWceRCUZNfL0xF82DKNEaIrVtNfVdvWTzdA/s1600/Lab06_Lukas_Zarychta.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-xKIPg_up7-SJfU-r1QHYnpnAVh_Jc4E-qPYtztiYwkq2aTMVYUMQLi16sea4bP2PcGPr5XnJToiTrnwSf3q9ljHT1ECtVzZb3mrZrGdThWceRCUZNfL0xF82DKNEaIrVtNfVdvWTzdA/s200/Lab06_Lukas_Zarychta.jpg" width="154" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In this lab we used ArcMap and ERDAS Imagine to modify remote sensing data. This is done through application of various filters. The two programs used, ArcMap and ERDAS, provide certain benefits and work best when are used in tandem to overcome the limitations associated with each one. </span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0tag:blogger.com,1999:blog-2664090790325606927.post-22910369588788061842015-09-26T16:40:00.000-07:002015-09-26T16:40:02.061-07:00Module 5a - Intro to Electromagnetic Radiation (EMR)<div class="separator" style="clear: both; text-align: center;">
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjv-5dR5oHoCGL59fZ8XIFLfdhvD1xvHKb_adzLQpGijgOmmnNQLc0Y5ZxbF9P5nvQyEl_bsKKWwmvJ1XBmrGEGB5x5lI5iEn3y-HPdLEH8Z6A0BQbNsM-PtnjpFXfmAQIGTXWK1Sf4ZKs/s1600/Lab5_Lukas_Zarychta.tif" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjv-5dR5oHoCGL59fZ8XIFLfdhvD1xvHKb_adzLQpGijgOmmnNQLc0Y5ZxbF9P5nvQyEl_bsKKWwmvJ1XBmrGEGB5x5lI5iEn3y-HPdLEH8Z6A0BQbNsM-PtnjpFXfmAQIGTXWK1Sf4ZKs/s200/Lab5_Lukas_Zarychta.tif" width="154" /></a></div>
<span style="font-family: Courier New, Courier, monospace;">In Module 5 we learned to calculate the relationship between wavelength and frequency, and to calculate the energy based on the wavelength. The basic principle is that the shorter the wavelength the greater the energy of the particle.</span><br />
<span style="font-family: Courier New, Courier, monospace;">Then we were introduced to ERDAS IMAGINE software, and learned some of its basic utilities, including how to save your work without the software crashing.</span><br />
<span style="font-family: Courier New, Courier, monospace;">Last part of the exercise was to use ERDAS software to select an area of a larger project area, calculate land area of each feature in it, and export it. Calculating land area involved editing the attribute table and adding another column. Then we imported the file into ArcMap, and created a usable map out of it.</span>Anonymoushttp://www.blogger.com/profile/03331510109211325499noreply@blogger.com0