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Showing posts from February, 2020

Lab 5

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Interesting ArcGIS Lessons estimate storage capacity with drone imagery This is a very similar lesson to the things we are doing in the lab currently but uses different processing and modeling software to achieve similar results of finding the volume of a water basin. predict floods with unit hydrographs This lesson was about predicting potential flood areas around rivers. This is interesting to me because floods are a devastating event to infrastructure.  classify land cover to measure shrinking lakes This lesson is about showing the decreasing surface area of lakes which is an important part in the preservation of fresh water. where does healthcare cost the most This lesson is about showing where healthcare costs the most. this is important information for comparing poverty and low-income data with the costs of healthcare. global measures of hunger This lesson shows global statistics for hunger. Get Started with ArcGIS Living Atlas One thing that ma...

Lab 4

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Intro Lab 4's goal was to create a digital surface model or DSM. To do this, we used Pix4D, which is a photogrammetry software. Pix4D is an excellent tool for UAS pilots to use to create maps and orthomosaics as well as different configurations of data. Pix4D is also useful because of its ability to create data reports so you can see the areas that don't have enough data. This allows the pilot to collect more data in those areas. It also allows for different levels of processing that produce different levels of data and speed. Of course the faster you process the data the lower the quality is going to be.  Process  To complete the processing quickly and to show more detail, we only worked with a partial section.  when the data is first imported, it is important to make sure that the coordinate system reference is the same as the coordinates from the data set. It is also important to check that other data is matching as well. to first start processing this data, ...

Lab 3

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It is important to have proper cartographic skills when working with UAS data due to the high demand for UAS collected data used to create useful data structures such as DSMs and DEMs.   Traditionally, mapping an area required a helicopter, plane, or satellite. Those options are all costly and you might only be able to afford a flyover of a mappable area once or twice a year. Today, a few hundred dollars is enough to make anyone a drone owner. And from there, mapping is a matter of simply downloading the right software to the aircraft, and flying a pattern of the desired area, an operation that is much simpler than the traditional alternatives. Spatial patterns are very useful when viewing data sets. They can help the reader answer questions such as: Is there an area that is denser with objects than others? Is there an area that has fewer or no objects than others? Are there clusters of objects? Is there randomness or uniformity to the location of the objects? Does there see...

Lab 2

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Part 1 What makes data geospatial? Data that identifies the geographic location of features and boundaries on Earth, such as natural or constructed features, oceans, and more. Spatial data is usually stored as coordinates and topology, and is data that can be mapped. What makes data in a GIS different than a digital map?  Data in GIS has many different defining features attributed to it contrary to digital maps. In GIS   you can spatially visualize, question, analyze, and interpret all forms of data.  Why is having an understanding of geospatial concepts and geospatial data so fundamental to working with UAS data? It is important because UAS data is much more than just points on a map and with understanding these concepts we can put the data to many more uses. What are some of the key geospatial concepts and fundamentals that this lab addresses?  Some key concepts would be developing highlights of the data y...