Using LiDAR for Forestry Management

 

    In this week's lab, I used LiDAR data to create a map of an area in Shenandoah National Park. This area specifically is highlighting the Little Hawksbill Creek and the Appalachian National Scenic Trail. I acquired the data from the Virginia LiDAR application. After converting the LAS file, I used several geoprocessing tools to calculate forest height and biomass density. I enjoyed this lab because it exposed me to a lot of new geoprocessing tools for converting and combining data. 

Comments

Post a Comment

Popular posts from this blog

Waypoints and Positions

Image
      In this week's lab, I used different methods to determine the accuracy of data. In part A, I compared precision data. My results are below: Horizontal accuracy: -82.319 Horizontal precision: 22.14 Vertical accuracy: 27.83 Vertical precision: 29.45 My vertical accuracy and precision values are very close to each other, but my horizontal accuracy and precision values are very different.  Horizontal accuracy is measured by comparing a measurement to its known true value, while horizontal precision is measured by measuring the proximity to other values. 
Read more

Data Quality - Standards

Image
      In this week's lab, I determined the accuracy of road networks. I did this by selecting test points of intersections on the ABQ_Stre ets_Sample layer, and then zoomed into each test point to determine the 'true' location of the intersection. I added XY coordinates to both the test points layer, and the reference layer, and calculated the accuracy statistics. The t ested horizontal accuracy of this dataset is +/- 423 meters at 95% confidence level.
Read more

GIS Programming

Image
      This week, I started the GIS Programming course. This course goes over how Python is used in relation to ArcGIS. I have never used Python or any other coding language before, so I expect this course to be challenging, but I look forward to learning. For this week's lab, I got an introduction to IDLE and ArcGIS Notebooks.  Prior to starting this lab, I watched the Module 1 lectures to gain an understanding of IDLE, ArcGIS Notebooks, and creating flowcharts. The first step for this lab was to bring the GISProgramming file from the R drive to the S drive. I then ran the CreateModFolders.py file to create module folders for the entire course. This task gave me the opportunity to open IDLE and use IDLE. I then wrote a Python script in IDLE to convert degrees to radians, and create the corresponding flowchart in Google Slides. I had some trouble starting this lab because I have never used Python before, but I used the lectures to guide me through. It also wasn't obv...
Read more