This lab introduces you to the primary tools that are used for collecting spatial data in natural resources research: GPSes, compasses and range finders. Each of these tools has it's advantages and disadvantages and you'll want to be able to select the right tools for a specific data collection task.
Note: if you are remote from HSU or decide not to participate in person, please find an open area with at least 8 features that can be seen from aerial images for this lab.
By the end of this lab, you should be able to:
The GPS hand-held units we will be using are typical Garmin recreational-grade GPSes. The compasses are high quality field compasses and the range finders are relatively new laser units.
By far, the most critical step in using a GPS is to set the datum to WGS 84 and never change it! If you change the datum in the field, you will have data that is in two different datums and the GPS will not know which coordinates were collected with each datum. This makes the data unusable (I have seen this happen twice with field crews).
For this lab, you will need:
We will be computing the uncertainty associated with field data collection so we need a point of reference, or benchmark, that we can see on a high resolution image. Your teacher will provide you with a high resolution image of HSU. Each group will use one of the four light poles along the north edge of the events field. These should be easy to see in the image and will be easy to find on the ground. Make sure you are using the center of the base of your group's light pole.
The instructions below are specifically for the Garmin 64st units. This video is for the Garmin eTrex units that remote students may be using.
Make sure you have the datum set to "WGS 84"!
Using the GPS, record the location of the other light posts around the events field. Also mark the location of at least 3 other features you are interested in. Make sure to return to your bench mark and record at least 3 way points so you can estimate the precision of your data.
GPS handhelds are great when they work. However, they need a clear view of a large area of the sky to get a "fix". Here at HSU, and in many areas around the world, this is hard to come by either because you are in a canyon, have a lot of tree cover, need higher resolution than a GPS can provide or some combination of these factors. In addition, sometimes you may be able to see the features you want to digitize but can't get to them. In these cases, we need to find other solutions to get spatial data that meets our research needs.
YouTube video on using a compass and range finder.
Using the compass and range finder, "shoot" each of the other light poles from your benchmark. Also shoot the other 3 features you are interested in. Then, move to each of your light poles and shoot back to your original light pole. This means that for each coordinate, you will need to record the coordinate you were at (typically by name) and then the direction and distance to the new coordinate. Note that the protocol sheet has another set of columns for you to enter these values.
Note: You can either compensate for declination in the field or back in the lab. I recommend doing this in the lab as you'll have enough to worry about in the field.
Back in the computer lab, follow the steps below. Note that if you are familiar with other ways of brining data into ArcMap from a GPS, you can use them. You just need to make sure you have the data correctly projected to WGS 84, UTM Zone 10 North when done.
The steps below use ArcMap, this video will walk you thought downloading the GPS data to ArcGIS Pro. Then, this video will show you how to prepare the data for analysis.
Note: If you have problems with DNRGPS, try attaching the GPS and dragging and dropping the appropriate "GPX" file into BlueSpray.
Add a higher resolution point using the 3 inch aerial data for Arcata as in this video.
Create an MS-Excel spreadsheet and add your field data and then additional columns until you have columns something like the following. The equations for new values in columns are provided.
This video may help.
To compute RMSE of your benchmark points you'll want to create a new spreadsheet. Add columns for:
Sum the SqrEastingBias and the SqrNorthingBias below their columns. These are Sum of Squares values. In cells below these values compute the RMSE values for the eastings and the northings by dividing the Sum of Squares values by the number of coordinates and then taking the square root.
You can use the MS-Excel function for standard deviation of a population to compute standard deviation.
This video may help.
To bring your coordinates into ArcGIS, you'll need to save them to Comma Separated Value (CSV) file. Also, ArcGIS is very picky about headings, blank rows, etc. I recommend making all headings 10 characters or less without any punctuation and just including the name of the points and the Easting and Northing. If you have problems importing the file into ArcGIS, examine it in NotePad to see if there is anything that might cause a problem. BlueSpray is much more flexible on importing files so you can also try dragging and dropping the file into BlueSpray and then saving the file to a shapefile that you can then bring into ArcGIS. Regardless, remember to define the spatial reference.
You may want to make two shapefiles from your data; one for the GPS coordinates and one for the compass/range finder coordinates. In ArcGIS, create a map that clearly labels the coordinates that were measured with the GPS and those that were measured with the compass/range finder.
How to use map and compass (video)
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