Tuesday, June 20, 2017

Hurricanes: Tropical Storm Sandy Damage Assessment

This week we studied hurricanes and created damage assessments for properties in Ocean County, New Jersey. First we created a map tracking Hurricane Sandy. From the Tracking points table, we created points on the map and symbolized them based on the storm category and included labels showing wind speed and barometric pressure. I also included an inset map of states affected by the storm. Next, we created a damage assessment, including pre-storm and post-storm imagery. I edited the domains for the DamageAssessment geodatabase and coding for the severity of the damage. Utilizing the swipe tool, I compared the 2 images and added points for each parcel on the post-storm layer and chose the appropriate structure and wind damage and inundation. I symbolized the points from destroyed in red, to minor damage in yellow. Then I added the 2 locator inset maps for reference and added the damage assessment table to the map as well as essential map elements. This week's lab was challenging and very informative section in our natural hazards studies. Thanks for reading and have a great week.  

Monday, June 12, 2017


This week we studied tsunami hazards and created a map of the Fukushima radiation evacuation zones in Japan after a tsunami caused nuclear disaster. I created a buffer layer to show the affected populations at different distances from the reactor as well as inset maps showing the areas affected by tsunami, an enhancement inset of the nuclear site, and a locator inset to show the area in proximity to the country boundaries. This week's lab was challenging and I learned a lot about mapping in disaster relief. Thanks for reading and have a great week. 

Tuesday, June 6, 2017

Lahar Hazards Lab

This week in Applications in GIS we studied different types of environmental hazards focusing on lahar hazards for the lab assignment. Lahar poses a major threat to areas surrounding volcanoes and volcanic activity. To identify the most vulnerable areas using GIS we used many spatial analyst tools to create the streams feature. Next, I created a buffer zone around the stream feature and used a selection tool to select all block groups containing the buffer zone and used a lot of different layers to create a map to show the lahar hazard zones and identify affected cities and schools. This week's lab was a little more challenging than expected but overall I enjoyed the assignment because unlike a lot of my previous work, it didn't involve as much step by step instruction, and allowed me to think critically and use my GIS skills more independently. I also learned a lot about time management as I found this assignment to be a lot more time consuming to get some of the tools to run. Thanks for reading ad have a great week.

Monday, April 24, 2017

Earth Imagery ArcGis Pro

Earth Imagery and ArcGis Pro- Module 12
This week we used the ESRI exrecise to enhance our knowledge of the capabilities of ArcGis Pro. This assignment was to use the imagery to detect burn scars from forest fires in Austrailia. I really enjoyed working with Arcpro, I felt that the layout was very intuitive, and I liked that it was in a similar format to Microsoft office, which makes it more familiar to a novice GIS user whereas Arcmap has very different layout and functions. I had a little trouble navigating the contents pane. It was too easy to select the incorrect layer and not realize you are editing a layer other than the one that is on the map viewer.
I feel that Arcpro has a lot of potential in remote sensing and especially in introducing remote sensing to new users. I also didn’t notice as many errors and issues as I often encounter working with raster images in Arcmap, although it often took longer than expected to load the images and occasionally did not load them at all (I just unselected a layer and reselected it to let it reload). Some of the functions that I used in the lab did not appear the same as the lab guide or would appear to be in much lower resolution and after a while the resolution would improve. Overall I feel that Arcpro has a lot of potential and I look forward to exploring it in greater detail.

Monday, April 17, 2017

Ground Truthing

This week we used our LULC see maps to conduct a ground truthing exercise. First we added points to the LULC map to test the accuracy of our classifications. I chose to use random points. Next we used Google Earth and street view to determine the accuracy of the points and determined the accuracy percentage. My accuracy percentage was 70 percent. This was mostly due to incorrectly classifying many wetland areas as forested wetlands from the original image. However, upon closer inspection almost none of the points contained forested wetlands. Last we created the map layout with percent accuracy and essential map elements. Thanks for reading and have a great week. 

Friday, April 14, 2017


Land Use Land Cover Map

This week we learned how to create an LULC map from an aerial photograph. We used Arcmap to insert polygons around second level land use categories to create a map over the aerial photo. We then created a legend of the land use categories with their codes and added essential map elements. When working with the data, I found it easiest to create the polygons from one corner of the map to the other, first outlining the smaller more noticeable categories (forested, lakes, commercial) and then filling in the larger areas such as water bodies and residential areas. These maps are useful for identifying areas of urban growth and assessing losses in natural resources and agricultural lands. Thanks for reading and have a great week. 

Monday, April 3, 2017

Supervised Classification

This week we learned about supervised classification methods to create a land use map. We used the signature editor to locate AOIs from created polygons and also using the seed method from the inquire tool at assigned coordinates. We then viewed the histogram plots to see where different layers are spectrally confused. We also created a distance file to show what areas might be in the wrong classification and added it as a subset map in our final map image. Thanks for reading and have a great week.