Introduction
Why are proper cartographic skills essential in working with UAS data?
Without
proper cartographic skills, UAS data will be useless. If you do not include
things like north arrows or scale bars, the data will not make sense to the
reader. The data needs to contain sources and your name so people know the
creator of the map
What are the fundamentals of turning either a drawing or an
aerial image into a map?
This
includes properly scaling and locating your map. A locator map will help
orientate the reader. A north arrow and scale bar are also essential to produce
a good map.
What can spatial patterns of data tell the reader about UAS
data? Provide several examples.
Spatial
patterns can help a reader determine manmade objects from natural objects. They
can help determine agricultural patterns and determining quality of the crop and
how to improve the yield. You can use it geology to distinguish elevation
changes and where potential geologic units are. You could use spatial patterns
to determine deforestation rates in logging areas.
What are the objectives of the lab?
The
goal of the lab is to learn how to use UAS data to make cartographically
correct maps in GIS. The map must be correctly labeled and scaled so the data
makes sense. The lab will show us how to transfer the UAS data into Arcmap and
how to correctly process it.
Methods
What is the difference between a DSM and DEM? What is the difference between georeferenced mosaic and an orthorectified mosaic?
DSM
(digital surface model) will show elevation for any surface feature located in
the mapping area. This includes trees, vegetation, cars, people, roads, etc…
DEM (digital elevation model) only shows the elevation of the ground feature
and will not include trees or buildings. http://gis.stackexchange.com/questions/5701/what-is-the-difference-between-dem-dsm-and-dtm
Georeferenced
mosaics are more accurate then orthorectified mosaics. Georeferenced mosaics
reference set ground control points. These GCPs have been placed accurately and
are recorded. The orthorectified points from the UAS itself. These points have
greater vertical and horizontal inaccuracies.
What are the statistics? Why use them?
The statistics
give you the maximum and minimum and average elevations which is useful because
it will give perspective and a better reference.
How did you hillshade the DSM? Delineate regions of the DSM,
thinking of each region in terms of topography, relating that to the
vegetation.
You
need to search for the hillshade tool and make sure you have spatial analysis
on. You then select the input raster and give a name and location for the
output raster. You can also set the azimuth and altitude of the sun. You then
let the tool process the data and get a map like this. You can delineate areas
where there is a tree line running alongside the track.
Results
What types of patterns do you notice on the orthomosaics.
There
is a distinct tree line on the west side of the track. You can clearly see the manmade
features, road and track.
What patterns are noted on the DSM? How do these patterns
align with the DSM descriptive statistics? How do the DSM patterns align with
patterns with the orthomosaic?
You can
clearly see the elevation but can’t see the tree line as distinctly until you
use the hillshade tool. The statistics allow you to tell the elevation range
and give you a better perspective. Together they both give a good picture of
the area. You can tell the elevation is increasing to the northeast so if you
were running on the track heading north, you be moving up hill.
Describe the regions you created by combining differences in
topography and vegetation.
I
created areas for vegetation where the tree line lies. I also created a north
and south section to distinguish the difference in elevation.
Errors in Data
The
elevation said 22 meters and the elevation in Eau Claire is about 240 meters. There
are also parts of the map that are cut off that could be useful data.
Best Data
The
best data seems to fall in the middle and the poor quality data seems to be at
the edges where there are abrupt cut offs.
Conclusion
UAS data is useful because you can take imagery quicker and more efficient with higher quality resolution dependent on sensors. The data can be easy to transfer over to GIS. UAS data also high accuracy when used correctly. If one use a UAS with many GCPS you can created a very accurate map. If the GCPs were not accurately set the data could be inaccurate. The user must know which sensors are being used and how the pilot collected the data to make sure it is accurate. A UAS is limited by weather and light conditions and on board sensors. A user could combine UAS data with survey data to make accurate maps. They could combine both the ground and aerial views.