a.
Experiment name
Establishing vegetation density
by large scale sensors at the tree nursery Zulauf Schinznach Dorf
b. Literature reference
Tempfli et al., 2009
(Principles of remote sensing)
Goodchild,2010 (Scale in
GIS: An overview)
Turner, 2014 (Sensing biodiversity)
www.seos-project.eu
(Science Education through Earth observation for High Schools) Shank, 2008 (Using Remote Sensing to Map Vegetation Density on a Reclaimed Surface Mine)
c.
Output/Results. What aspect
of the water cycle will your measurement/experiment cover?
Computing the density of
the vegetation cover at the selected perimeter helps to calculate the
evapotranspiration of the plants on-site. With the data of the UAV images
(different bands), percentage of vegetation can be estimated by using the NDVI
(vegetation: yes/no) and the tool ‘Raster Calculation’ in ArcGIS. With the
percentage of vegetation density and the collected data from the WS-Team,
effectively downscaling is possible.
d.
Where in the nursery will
you perform your measurements/experiments? Describe the physical situation /
the setting in the nursery where you will perform your measurements/experiments.
The location of the
experiment is the area of the tree nursery Zulauf Schinznach Dorf. The borders
of the system are the areas which are: i) part of the irrigation system, ii) stands
on plastic (not on natural ground), iii) are not covered (green-houses). An on-site
inspection and the flight experience of the tutors (ground control points of previous
year experiments) will set the perimeter exactly. The disqualifying factors and
the fact that the weighted plants of the WS-team must be on the aerial images
will be take into account.
e.
What material will you
require? Describe as precisely as possible what material you will require. Will
there be costs?
To carry out the experiment
following material is needed:
Unmanned Aerial Vehicle
(UAV)
White cardboard
Commercial Photo camera
Car inclusive driver (ZHAW)
Train tickets
f.
Where do you get the
material from? Organize the material (you may coordinate with Luzi and Patrick)
The material is compiled by
the tutor (M.Geilhausen) a week in advance. The participants of the experiment
in week 23 2017 can join this preparation. The temporal agreement is made via E-Mail.
The transport of the fragile parts will be done by car, the participants travel
independently by train.
g.
What is the required timing
of your measurement? Make a schedule that embeds your measurement/experiment in
the week schedule.
The UAV-flight takes place
in week 23, at Tuesday 6th of June. Estimated time required: 4
hours.
h.
Are there any dependences
between measurements/experiments that you must consider (your measurement
depends on another experiment, such that the sequence must be considered)?
If the weather is not
allowing to fly, it’s postponed to Wednesday 7th of June. A second
postpone date does not exist.
i.
Anticipated possible
problems that might occur with your experiment. What is plan B if the
measurements/experiments do not work out as planned?
The flight with the UAV is
accomplished by a trained, experienced and instructed tutor of the ZHAW, as it
is the following data processing. The weather acts as an unpredictable factor
and due to the long data processing not much space is given to postpone the experiment.
If the experiment can’t take place in week 23, the RS-team can use data from
previous years.
j.
Are there measurement data
from alternative sources that could cover a larger time interval then only the
field work week?
k.
How do you integrate the
results of your measurements/experiments with??
The results of the
experiment are integrated into the calculations of the local water cycle by
providing the percentage of the density of the vegetation.
Hey =)
AntwortenLöschenYour Blog entry is very well written and I think you considered every aspect of our experiment. Your plan is scientifically formulated and one notices that you are really interested in the subject and that you are well-informed. As you wrote at Robin's Blog I am also not sure if we can delay the flight because the time to process the data might be too short then. So let's eat up, then we won't have to face this problem ;)
Have a nice week
Hey EnAn_weisst77
AntwortenLöschenThank you for your detailed blog entry about the Experiment: Establishing vegetation density by large scale sensors at the tree nursery Zulauf Schinznach Dorf. It was easy to read and describes detailed and well understandable how we implement the experiment during the project week.
See you in a Week for the project week.
Solid description of the task at hand. One detail: The literature references are incomplete; please adopt more care when referencing scientific sources. Remember, we don't want to be obsessive about referencing styles, but it must be possible to refind a reference, and in the current some references my be difficult to find.
AntwortenLöschenHi Johny
AntwortenLöschenSorry for the delayed comment.
As the others already mentioned your blog is very well written and covers all the requested points of the research plan. Further your text is very detailed and easy to read.
Now the project is already finished, I will add the further steps we have taken in ArcGIS to get the appropriate information about the density of vegetation cover. After, we have calculated the density in percent per square meter, we digitalized the sectors of the two different irrigation types (with the help of editing…). The last step was to calculate the percentage of vegetation cover in each sector by “zonal statistics”. The calculated values were used by the water balance team to calculate the evapotranspiration.