Posts

Summer internship in SAMSUNG

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I finally passed the final interview of SAMSUNG global internship. I prepared a lot for this internship at the end of this semester, so I'm so glad I got this result. I'm going to apply what I've learned so far in UAS class to projects in SAMSUNG and I will upload the projects that I will work on during SAMSUNG internship in summer.

Final project(UAS data mapping mission)

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Required for the mission:         Mobile device with supporting mission planning software          A UAS Platform/Sensor of your choice I was asked to fly an assigned mission plot at PWA with this parameter. Altitude: 122m Lateral and Frontal Overlap: 80% Use the search function to find and open the Add Z Information (3D Analyst Tools) tool. This tool calculates properties of 3D shapes and appends the result to the attribute table of the input feature class. In this step, you will calculate the length of each sight line. Set the following parameters: Input Features: LOS_Lines Output Property: 3-Dimensional Length      The purpose of this project is to conduct a UAV mission to collect aerial imagery and data for a specific area at PWA(Purdue wildlife Area). The mission area has been assigned and the goal was to fly the assigned mission area while ensuring that the flight boundaries are slightly larger than the assigned area to ensure complete coverage. The Pilot(Jinwook paek) and my v

Performing Line of Sight Analysis by Esri

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Performing Line of Sight Analysis by Esri Use the search function to find and open the Construct Sight Lines (3D Analyst Tools) tool. In the Geoprocessing pane, set the following parameters: Observer Points: Observers Target Features: ParadeRoute Output: ..\EsriTraining\ProLineSight\MyData\MyData.gdb\ SightLines Observer Height Field: SHAPE.Z Target Height Field: SHAPE.Z Sampling Distance:  30 Use the search function to find and open the Line Of Sight (3D Analyst Tools) tool. Set the following parameters: Input Surface: Elevation Input Line Features: SightLines Input Features: Buildings_subset Output Feature Class: ..\EsriTraining\ProLineSight\MyData\MyData.gdb\ LOS_Lines Use the search function to find and open the Add Z Information (3D Analyst Tools) tool. This tool calculates properties of 3D shapes and appends the result to the attribute table of the input feature class. In this step, you will calculate the length of each sight line.  Set the following parameters: Input Features: L

Performing Viewshed Analysis in ArcGIS Pro

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Performing Viewshed Analysis in ArcGIS Pro  A dd the project data to a new map document. In the Catalog pane, browse to Databases, and then expand the VSPro geodatabase. On the Map tab,  chose Streets to change the basemap.  In the Format Polygon Symbol pane, click Properties, and then specify the following parameters: Color: No Color Outline Color: Mars Red (row 3, column 2) Outline Width: 2 pt The fields view opens, and the Fields tab opens on the ribbon. The fields view shows the content and format for each field in the LightLocations attribute table. For Field Name, type   OFFSETA . The OFFSETA field will affect the height from which the viewshed will be created. It is a vertical distance in surface units to be added to the elevation of the observation point. Add the following additional fields to the fields view: AZIMUTH1 AZIMUTH2 RADIUS2 In the Geoprocessing pane, in the search field, type  viewshed ., Click Viewshed (3D Analyst Tools), and then specify the following parameters:

Object Based Classification

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  Extract spectral bands The multiband imagery of the Louisville neighborhood currently uses the natural color band combination to display the imagery the way the human eye would see it. I needed to change the band combination to better distinguish urban features such as concrete from natural features such as vegetation. The bands I extracted include Near Infrared (Band 4), which emphasizes vegetation; Red (Band 1), which emphasizes human-made objects and vegetation; and Blue (Band 3), which emphasizes water bodies. Configure the Classification Wizard I needed to open the Classification Wizard and configure its default parameters. The Classification Wizard walked me through the steps for image segmentation and classification. Segment the image For  Spectral detail , replace the default value with 8. For  Spatial detail , replace the default value with 2. For  Minimum segment size in pixels , confirm that the value is  20 . Classify the imagery 1. modify the default schema to contai

Volumetric analysis with UAS Data

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In a previous lab, I completed some ESRI tutorials regarding raster data analysis. This time, I engaged in raster data analysis using UAS data gathered over the course of a mine dredging operation. I needed to draw upon what I've learned in the ESRI tutorials so far. ·        Extract by mask This tool extracts the cells of a raster that correspond to the areas defined by a mask. The mask is typically a raster dataset where cells with a certain value represent the areas I want to extract. ·          Resample Resampling is the process of changing the resolution of a raster dataset. ·          Surface volume The Surface Volume tool calculates the volume between two surfaces. I began on the 4 th of July to where the mine operation tells of the dredging to take place, and for me to establish a base dataset to know how much material was added. They are also concerned about slope failure and low lying flat areas where water will collect. Because the area flown is pretty large,