Bibliography:
Jeremy
Cousins, Multipatch and Thermal:
Noor, N.M., Abdullah, A.A.A., Abdullah, A., Ibrahim, I.,
& Sabeek, S. (2019). 3D city
modeling using multirotor drone for city heritage
conservation. Planning Malaysia,
17(1), 338-349 https://purdue-primo-prod.hosted.exlibrisgroup.com/permalink/f/1c3q7im/TN_scopus2-s2.0-85065715369
The
goal of this article is to emphasise the usage of drones in urban planning and
as a platform for data collection. This type of data is used so city planners
can see how the future building would affect the urban area in a real world
setting. The study attempts to construct a 3D Malay city based on data
collected from a multi-rotor. Kota Bharu is the study area. The area is near a
river and the city was strategically planned by the Sultan during its building
phase. The sultan put the palace in the center of the city with temples,
government buildings, and government officials homes right outside of the
palace to keep the most important assets of the city protected
A DJI
Phantom 3 was used as the UAS platform to carry out the mission. Pix4Dcapture
was used to program waypoints for the Phantom while Agisoft software was used
to process the UAS images. GIS software such as MapInfo and ArcGIS were used in
finalizing the urban form analysis. The UAS was set at an altitude of 150
meters with an 80% frontal overlap and a 65% side overlap. These setting
produced 793 images. The analysis investigated the land use, streets, and
buildings on the heritage site.
This
study was very useful for validating multipatch and it’s capabilities. Although
Pix4D is a very useful software, to process 793 images would take hours on a
high end computer. This is where ArcPro can be very useful. Rather than mapping
the entire city as they did, specs on the buildings could be acquired and far
less pictures could be taken resulting in an even faster turnaround time. This
study also shows how useful UAS capabilities can be to help plan city layouts
and see how new buildings or streets can affect the surrounding areas.
Hinge, L., Gundorph, J., Ujang, U., Azri, S., Anton, F., and
Abdul Rahman, A.:
COMPARATIVE ANALYSIS OF 3D PHOTOGRAMMETRY MODELING
SOFTWARE PACKAGES FOR DRONES SURVEY, Int. Arch.
Photogramm. Remote
Sens. Spatial Inf. Sci., XLII-4/W12, 95-100,
https://doi.org/10.5194/isprs-archives-XLII-4-W12-95-2019, 2019.
The
goal of this article is to compare 3D modeling softwares such as EyesMap3D,
Drone Deploy, Agisoft PhotoScan, and Pix4Dmapper. A golf course in Horsholm,
Denmark was used as the study area to test the capabilities of each software
package. The goal was to create a model of the golf course using tie points. 24
Paper markers were printed out and used as ground control points for tie point
accuracy and GCP accuracy. A Phantom 4 was used as the UAS platform to map the
golf course. Since the study took place in Denmark, strict UAS regulations were
followed to make sure the study was legal.
The
results showed that each software had their own advantages in disadvantages.
Due to a more dense point cloud being produced, Dronedeploy and Pix4D were able
to show the trees the best on the gold course. Dronedeploy and Pix4D also leads
the competition in detecting elevation. Agisoft Photoscan had the most detailed
texture but failed to show any elevation most likely due to the low amount of
tie points produced. Drone Deploy and Pix4D were also able to make out a trash
can on the golf course when Agisoft Photoscan failed to do so. EyesMap3D may
have been the best software for 3D modeling, however, prior knowledge in
photogrammetry is needed to use the software properly.
This
study showed the capabilities of Pix4D. This was reassuring as Pix4D is the
software I am most familiar with. This also showed how each software is
superior in one aspect or the other. In terms of user friendliness and
capabilities, Pix4D wins this competition due to accurate elevation mapping and
the point cloud being superior than other software packages. Pix4D will be the
go to 3D modeling software throughout the capstone project.
Kim, C., Moon, H., & Lee, W. (2016). International
Archives of the Photogrammetry, Remote
Sensing and Spatial Information Sciences - ISPRS
Archives, 41, 31-33
This
purpose of this article is to explain the functionality of UAS platforms in
disaster sites and to develop the use of these technologies. In order to safely
and efficiently gather data on the disaster site, UAS platforms have been an
essential tool. With this information, they can then process and create a 3D
model of the site to better understand dangerous areas or areas to help first.
The UAS platform was equipped with GPS, AHRS, and IMU. The DJI Ronin gimbal was
used to install the stereo-vision camera module.
After
the platform gathers the images of the disaster site, a 3D model is then
created. The location of each picture is geotagged. A depth map is created
which is then merged with a point cloud. From here, close to true measurements
can be taken from the 3D model that has been generated.
Although
this article did not specifically explain 3D models in the sense of what our
capstone is focusing on, this is a good proof of concept on other areas this
technology can help with. This could also be used for the reconstruction
process of a disaster site and to plan how the city will be rebuilt. This
technology could also be used during the cleanup phase of a disaster site and
how to efficiently do it. This would not be the best way to perform a search
and rescue operations as it would take a good amount of time to gather the data
and then process all of the images. By the time there is a full 3D model, there
would already have been several casualties.
Oniga, E., Chirilă, C., & Stătescu, F. (2017). ACCURACY
ASSESSMENT OF A COMPLEX
BUILDING 3D MODEL RECONSTRUCTED FROM IMAGES ACQUIRED
WITH A
LOW-COST UAS. The International Archives of
Photogrammetry, Remote Sensing
and Spatial Information Sciences, XLII-2/W3(2), 551-558.
The
goal of this study is to determine if a UAS platform and respective software
packages can create an accurate 3D model of a complex building structure.The
chosen study area was in Iasi, Romania due to its complex structure and a roof
shaped as a paraboloid. Three ground control points were used and four were
used as checkpoints for accuracy assessment. A standard Phantom 3 was used as
the UAS platform. The images were taken at 15 meters above ground with a total
of 63 images being collected. To check the accuracy of the 3D model created,
the coordinates of the checkpoints were measured and compared ones that were
found using GNSS technology.
The
results show the back side and the right side of the building being very
distrurbed. This was due to trees and foliage around those areas blocking the
cameras view of the building. Out of the four checkpoints coordinates, three of
them could not be measured due to trees blocking the view. The conclusions
showed that the software was able to recreate the building structure with close
to exact accuracy. The best software package that they tested ended up being
Drone2Map since it produced a dense point cloud and was the most accurate with
the least amount of error.
This
study was extremely useful. It explains and guarantees that no matter how
complex a building’s architecture may be, the software will be able to recreate
it accurately. Although Pix4D is not a software they tested, it is good to know
that Drone2Map is the next best option to use. It would have been interesting
to see how Pix4D compared to Drone2Map with accuracy and point cloud creation.
Andras Molnar. (2018). 3D Reconstruction of Monuments from
Drone Photographs Based
on The Spatial Reconstruction of The Photogrammetric
Method. Advances in
Science, Technology and Engineering Systems, 3(6), 252-258.
This
study explains using UAS platforms to 3D model and reconstruct historic
monuments. The goal of the study is to create a virtual museum with notable
historic monuments as well as explain other useful ways this technology can be
used. A DJI Inspire 1 was the UAS platform used for this study. In order to
create a 3D model, several pictures of the object must be taken at slightly
different angles with overlap. From there, the exact location of where the
image was taken is needed for the software to be able to stitch it together.
Pictures can even be taken randomly as long as every part of the object is
photographed and each image has a slight overlap. If part of the building is
covered by an object such as a tree, although difficult, it is possible to remove
that object within the software.
For
parts of a building such as a cross on the top of the church, up close photos
are needed to reconstruct it. This proves to be difficult and can sometimes
trick the software. Shadowed sides of structures were also poorly reconstructed
due to not enough light hitting them making it difficult for the software to
create. Follow up filtering of unneeded points and other objects in the model
was necessary. This made the 3D model more accurate and gave it an all around
cleaner look. Only unprocessed images can be used for the 3D model. If the
images are filtered and changed beforehand, it will drastically decrease the
quality of the finished product.
This
study explained many key points when constructing a 3D model. The tips on
weather and what tricks the software was very useful information. It should
also be noted that the information regarding using unprocessed images is also
very useful as it can ruin a 3D model. This study showed the importance of 3D
modeling and how easy it can be in respect to traditional methods. It also
showed the different uses of this technology and where the technology can go
from here.
Evan
Brueggemann
Józków, G., & Toth, C. (2015). EXPERIMENTS WITH UAS
IMAGERY FOR AUTOMATIC MODELING OF POWER LINE 3D GEOMETRY. The
International Archives of Photogrammetry, Remote Sensing and Spatial
Information Sciences, XL-1/W4(1), 403-409.
The purpose of the following study was to test the potential
for using UAS technology for making 3D models for powerline inspection. The
study first begins by describing the most popular current method that includes
using helicopters equipped with platforms and LiDAR systems. Data
collection with this system is fast but is costly when using such expensive
equipment. The UAS approach proposed in this study consists of
commercial-off-the-shelf (COTS) cameras which are very affordable in comparison
to other systems using LiDAR.
The method for data collection in this study was to use high
resolution images of the powerlines to create a dense point cloud that can be
used to stitch the images together. This method is similar to LiDAR
applications that use point clouds to base 3D models off of. The results from
the study vary. It was concluded that in
order to have the most accurate model, one needs to ensure that it includes
high amounts of overlap and sidelap. The accuracy of the model was
approximated at 8 centimeters in the horizontal and 6 centimeters in the
vertical axis.
This study showed that UAS technology has the potential to
replace the much more expensive methods for powerline inspection. The study
also displays how the easily available UAS technology can help with everyday
inspections and commercial work. The data presented in this study helps people
understand that even affordable technology can be utilized to create high
quality imagery.
Grenzdörffer, G. (2014). Crop height determination with UAS
point clouds. The International Archives of Photogrammetry, Remote
Sensing and Spatial Information Sciences, XL-1(1), 135-140.
The goal for this study was to accurately determine the crop
height to help make comparisons with biomass and predicting yield.
Knowing the crop height is important because it helps predict what crop yields
could be and aids with analyzing the land.
There are many methods currently being used for determining crop
height. A popular system used are laser scanners mounted to the tractor
to find the height. Although these systems are accurate their coverage is
limited. There are two methods presented
in this study. One method includes using
a UAS surface model to compare with the digital terrain model. The crop
height is determined by taking the difference between the two models. This is called the “difference method”. The next method includes making a 3D-point
cloud of the vegetation. This method
does not require a digital terrain model for comparison.
The tests for this study were conducted at the University of
Rostock, Germany. Different crops were used in order to check the
accuracy across many species of vegetation. In this study, it emphasizes the
errors that could be associated with the accuracy of crop height. Three
possible sources of error were identified. They include errors in relation to
UAS surveying, data processing, and the crop’s life cycle. These errors can be
mitigated with the proper steps and verifying which method results in the least
amount of errors acceptable.
The study found that the “difference method” was the
recommended approach when determining crop height. The 3D-point cloud
struggled with finding the height for crops due to the always changing
variables. Surveying smaller fields
proved difficult for the 3D-point cloud because it was unable to find many ground
control points in the plot. However, Grenzdörffer’s study on crop height
shows how useful the “difference method” for use in future applications. The “difference method” is easier and faster
when measuring crop height. This method
does not require nearly as much strenuous work that the point cloud requires
for accurate data.
Sullivan-Nightengale, D. (2015). Unmanned Aerial Systems:
Risks & Opportunities in the Workplace. Professional Safety, 60(3),
34-42.
The main purpose behind this article is to outline the
hazards that relate to UAS operations and how to properly apply them to the
workplace. Many workplaces do not understand the proper laws and
regulations that must be followed for legal UAS operations. This means that the majority do not know what
steps to take in order to have safe missions. The article breaks the process
down to four aspects: aircraft, control system, people, and operational
environment.
The article first describes the origin of UAS flights and
what sizes they can range from. Small UAS systems usually consist of
materials made from Styrofoam and different plastics. The larger the UAS means it requires more
sturdy and reliable materials. According to Sullivan-Nightengale, the
military is known for putting less value on UAS systems because they are more
expendable being unmanned.
The next major section covered was communication.
Communication is a key concept in our research for UAS. It is crucial to
have proper links to the aircraft for safe operations. Three components are discussed that can be
affected by link loss. The two radios and the GPS link are sources of possible
failure. Before flights, it is important
for the flight crew to create a flight operations quality assurance (FOQA)
program. By following this system, crews have a better opportunity for a
successful and safe operation.
This article was incredibly helpful for our topic. It
highlights the importance of mitigating risks and how to manage a proper UAS
operation. This article is crucial in helping our group decide how to
conduct our weekly flights and how to prepare for them.
F. Alidoost, & H. Arefi. (2017). COMPARISON OF UAS-BASED
PHOTOGRAMMETRY SOFTWARE FOR 3D POINT CLOUD GENERATION: A SURVEY OVER A
HISTORICAL SITE. ISPRS Annals of the Photogrammetry, Remote Sensing and
Spatial Information Sciences, IV-4-W4(4), 55-61.
The
purpose for this study was mainly to compare the differences between software
such as 3DSurvey, Agisoft Photoscan, Pix4Dmapper Pro, and SURE when creating
3D-point clouds. The digital surface models created will also be used to
further compare the software. The
location used for the data in the study is the historical site of Harireh
located in Kish Island, Iran.
The
differences found between the software was interesting. The Agisoft
Photoscan software created the most final dense points while the Pix4Dmapper
had the highest number of extracted points per individual image. However,
it was found that the final quality of the 3D model did not differ greatly from
each other due to their own individual errors.
Each rendering experienced problems with gaping near trees and other
hidden areas.
This
study was incredibly useful for determining which software we should use for
the completion of our research project. The study did a great job of
laying out which aspects of the data collection are more time consuming with
certain software. With our topic we will most likely be sticking to Pix4D
to process our data since the study found this software to be very efficient.
Jazayeri, Rajabifard, & Kalantari. (2014). A geometric
and semantic evaluation of 3D data sourcing methods for land and property
information. Land Use Policy, 36, 219-230.
The article discusses the challenges that are encountered
with working with 2D models and property information. The purpose of the
article is to display the benefits of using 3D building information to help
transition away from current 2D models. With the increasing complexity
with modern buildings, 2D models become even more challenging to use making
them near obsolete.
Different
forms for gathering the 3D models are discussed, but the one I would like to
focus on in the article is the use of UAS to collect images. The article
points out specific limitations that a UAS possesses and which aspects it
excels at. There is a large emphasis on
the variety of equipment and sensors that can be mounted on the UAS. The
cameras our research directly deals with is the rgb and thermal camera. The article highlights previous applications
of UAS being used around the world. One
example was seen in Alaska, the UAS was excellent for reaching remote areas
where surveyors have difficulties collecting accurate data.
Key
elements of this article included relevant applications of UAS and the
different approaches to implementing them. I will be able to use this
source as a guide to which route I will take to process the collected
data. This article does a great job of
showing the importance of 3D building information and what the future looks
like for it.
James
Borders
Paor,
D. G. D., & Whitmeyer, S. J. (2011). Geological and geophysical modeling on
virtual globes using KML, COLLADA, and Javascript. Computers
& Geosciences, 37(1), 100–110. doi: 10.1016/j.cageo.2010.05.003
This article is written to show how virtual globes could be
advanced from the current resolution. It uses NASA’s WindWorld and Google Earth
as its two biggest examples. Right now, they are able to create these virtual
globes using KML or Keyhole Markup Language. KML does create these 3D models,
but it takes a lot of additional editing and blending, and even then it creates
patches where the terrain is poorly rendered and causes poor response time when
manipulating the model.
Previously, Data Pyramids had to be created by hand for all
of the terrain and every 3D feature that would be created on the virtual globe.
This took excessive man hours and once the object was moved or edited, it had
problems realigning perfectly again. Due to this, an alternate way to portrait
3D models needed to be used. COLLADA, Collaborative Design Activity files, are
now up and coming and looking like an amazing solution.with COLLADA files, image
pyramids are created a lot easier and allowed for extra definition like strikes
and dips in the Earth’s terrain without causing the responsiveness of the
application to falter.
The extra
definition and efficiency that COLLADA files bring to the table allow for new
data to be shown and compared. For example, this article writes about raising
the island of Hawaii and creating a surface bump out, where the elevation was
raised and the dip of the subduction zone of tectonic plates were easily
compared. From the figures shown, it looks to be the same process as
multipatch, which leads me to think that more things may be done with
Multipatch than we previously believed. Another thing that is done using
COLLADA files is that they are lowered onto the terrain and used to
create geologic and geophysical data of different time periods of Earth’s
continental crust, allowing for a time-based comparison to be easily
illustrated using a slider.
Xu, H.,
Badawi, R., Fan, X., Ren, J., & Zhang, Z. (2009). Research for 3D
visualization of Digital City based on SketchUp and ArcGIS. International
Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining. doi: 10.1117/12.838558
This
article has two main sections. In its first section, it compares five different
#d model formats and shows pros and cons on them. The ones that are relevant to
my research include looking at AutoCAD, ArcGIS, and Google SketchUp. While it
does have a valid con of ArcGIS, the data structure and platform making the
creation of 3D models as a standalone software is quite difficult, it also goes
on to show how AutoCAD and Google SketchUp can be used in collaboration with
ArcGIS to create a top of the line 3D model.
This
article was written recently enough to go into depth on MultiPatch, a new
featureclass in ArcGIS. It goes into downsides of Multipatch, saying that
debugging is a difficulty because the two interfaces ‘IconstructMultiPatch’ and
‘IgeneralMultiPatchCreater’ are in fact interfaces and cause some bugs to be
created in the use of them. Along with that, setting textures and material
parameters can be quite difficult but gets easier once you are used to the
program.
While the
paper goes on for awhile stating the upsides of SketchUp, eventually it starts
to show the collaboration between ArcGIS and SketchUp. ArcGIS requires a
coordinate system to be integrated at all times or the data cannot be exported
into the Multipatch format to allow for easy modeling. The MultiPatch file can
be created from either Google SketchUp or the Multipatch function from ArcPro.
Then once the photos of the building are patched on using either software, they
recommend creating it in ArcGlobe or ArcScene, where multiple Multipatch files
or COLLADA files can be brought in at once, easily creating a 3D model of a
city.
Erenoglu, R. C., Akcay, O.,
& Erenoglu, O. (2017). An UAS-assisted multi-sensor approach for 3D
modeling and reconstruction of cultural heritage site. Journal of Cultural
Heritage, 26, 79–90. doi: 10.1016/j.culher.2017.02.007
This
article goes in depth on why 3D modeling cultural heritage sites is important,
and the ways that modeling takes place. In their example data, they talked
about archaeology ruins in Hungary, Germany, and Italy. The first use of a
copter UAS was in Italy when it was taking an orthomosaic of a Roman
Villa. They flew missions in RGB, Thermal, and Multispectral imaging to
gather data that they could not previously obtain. This type of Non-destructive
testing allows for reconstruction and protection of the cultural sites in the
case of any damage or aging.
Different
outfits of unmanned systems are used for different functions in the
reconstruction of these sites. A fixed wing system is recommended for
orthomosaics and gathering mainly 2D data, but it can easily cover more range
than rotor systems. Rotor systems are more maneuverable and allow for the
camera angle to be changed, giving different angles for a 3D model. Now the
payload is also changible, the use of an IMU allows for interior sites to be
mapped, where no GPS signal could be obtained.
The use
of 3D modeling and UAS have brought new light to archaeology. It allows for
data to be gathered easier and looked at differently. Archaeologists are now
commonly using unmanned systems in the field and are looking at UAS specialists
to hire and create the data now available.
Remondino,
F., Barazzetti, L., Nex, F., Scaioni, M., & Sarazzi, D. (2012). Uav
Photogrammetry For Mapping And 3D Modeling – Current Status And Future
Perspectives. ISPRS - International Archives of the Photogrammetry,
Remote Sensing and Spatial Information Sciences, XXXVIII-1/C22,
25–31. doi: 10.5194/isprsarchives-xxxviii-1-c22-25-2011
This article shows Unmanned Systems as if the reader was
completely new to them. This is not necessarily a bad thing, but most of this
paper has to be skimmed as it goes into basics that we have been covering for a
couple of years, like what modes it can fly in, or how it gathers data. Once
that data is parsed through, there is some interesting topics about 3D modeling
and careers that UAS can be used for.
3D modeling can be used in a variety of careers. These
include Forestry and Agriculture, Archaeology, Environmental Surveying, and
traffic monitoring. Forestry and agriculture use 3D modeling get accurate data
on what they are observing. For farmers, this is called precision farming and
can be used for things like feed efficiency or for forestry it can be used for
things like assessment of woodlots.
Archaeology uses UAS to document and save 3D maps of the
sites so new data can be collected. Traffic Monitoring is using UAS to simulate
travel time estimation and efficiency. Applications of all the 3D
modeling in UAS include seeing an aerial view from a closer perspective than
what was previously available. This article showed me that 3D modeling can be
used for far more things than I previously imagined.
Muliady,
Sartika, E. M., Lesmana, C., & Elizabeth. (2019). UAV photogrammetry for
generating 3D campus model. doi: 10.1063/1.5098281
This article shows how 3D modeling a college campus could be
viable. While it just used the basics that many UAS majors would know how to
do, it gave good information on what to do with 3D models that are created. It
just uses simple integrated software to process the orthophoto and meshing that
allows for a 3D model to be easily created.
Doing a base orthomosaic of the building allowed them to
create a basemap, but instead of using an angled camera, you could gather the
fronts of the buildings and create a MultiPatch, which would allow for greater
efficiency while processing that data. Instead of having problems putting the orthomosaics
together, which they did, you could export them into a COLLADA file then import
it into ArcScene or another 3D model view software, allowing for better
creation of the model.
They used this to compare the phases of construction of a
building, but many more things could be completed based off the data that was
collected since they gathered multiple buildings. They could use this to create
a 3D model of the entire campus, where you can gather hotspots of when it is
the busiest and how to relieve those spots. It could be used to estimate walk
times from place to place, along with many more things.
Austin
Sullins
Liang,
Xinlian, et al. “The Use of a Hand-Held Camera for Individual Tree 3D Mapping
in Forest Sample Plots.” MDPI,
Multidisciplinary Digital Publishing Institute, 18 July 2014, https://www.mdpi.com/2072-4292/6/7/6587/htm.
Simply being able to scan a building is something that would
make my life a lot easier in this project because then I could just use that
file in the muti-patch software and be able to have the entire building
perfectly 3D mapped in a matter of minutes compared to hours that it takes now.
Unfortunately for me that technology won’t be around and free by the time that
this project is due, however what this is saying is that it is on its way
soon! The ability to take whatever smart phone you have and be able to aim it
at a tree or building and have the dimensions of it is coming quickly.
This means that I should in theory be able to go and
personally measure a few buildings such as the beef unit with a simple
rangefinder. This is critical because I am specifically trying to find which
process is going to be the fastest to get the 3D modeling done no matter how
you do it. I want to look outside the box when thinking about how to get this
data because I believe we don’t grow thinking on the box.
I now have one more way to time my process and ad one more
sample into the data. Also it allows me to be able to see into the future a
little on where the industry and this technology is going. If we can put this
technology toward the 3D mapping then there is no saying you can't take a scan
of a house for sale and 5 photos and have a perfect 3D image in the matter of 3
minutes.
I have never taken a single day of a CAD class in my life
and with the way it is looking is I am going to have to be able to teach people
the basics of how to use a CAD system such as Catia. SoI need to have a general
basis of how to make a simple step by step process inorder to assure that the
subjects in our sample with be spending the time making the 3D model instead of
blankly staring at the screen.
I wasn’t able to learn much straightforward knowledge from
the article, but I was able to learn a lot of valuable information on how to
present the steps. This article was not clean on how to do things and was
written as if I was just a bad teacher with failing students that I couldn’t
communicate with. Instead what I really needed was an article that showed me
how to do the steps and told me why I’m doing these steps and this is something
that I am going to include in my report, I want someone off the streets to be
able to walk in sit down and do the work and not feel like they need a
doctorate just to even work with the data.
I realize that CAD is a very helpful tool that is being used
in all sorts of real world applications I just feel like there has to be an
easier way to do it than what is being said in this article. I should be able
to just input numbers and have it start working it out I shouldn’t have to do
all this work to get one straight line. Thankfully I learned a few tips and
shortcuts, but I am still hesitant.
There is one section in this article that just confirmed all
of the things I have been reading about how to make a model and how to do it
fast and efficient! Now in the article they are doing modeling on a smaller
scale but they are using the same process to make the models. It goes into
detail about using scan-to-CAD and Scan-to-BIM to make accurate models. However
I did confirm one of my fears and that is that I will be very hard to find some
sort of perfect digital copies to make these diagrams.
This article I believe will be my single most important
piece I will be working with this entire semester because I shows how they were
troubleshooting all of their problems and how they worked through them and
where they went for all of their data. This is critical for me because I will
be able to use their techniques while making and perfecting my own to teach to
the sample students we are going to time for our research.
Prior to this article I thought there was only one website
for cities and towns to find information on the land plots and now I have three
that I will be able to cross match and find exact measurements and be able to
get the data uploaded asap and be very efficient.
This
article is all about the steps and process that was followed to be able to
create the ability to 3D map a cell cite. This entire article isn’t necessarily
useful however the way that it is set up and how the metadata is laid out and
is easy to follow is very useful. You can follow every step of his process
without any mishaps or confusion which is one thing I struggled with this
summer being able to get right. Being able to have a visual of a paper that has
a different style then I’ve seen before has already given me new ideas on how
to lay out my information for this project that will be able to catch the users
eye, but still remain useful and professional.
I know
that I only used this article for a certain amount of information however
I believe it showed me more than just what we can see on the surface because I
didn’t know how many people were even looking into real world application of
fast 3D modeling and to see that it is not only being chased after by larger
companies but it is being pursued by somewhat everyday people really set a new
spark inside of me to know that we can do something great with this project.
