С помощью рабочего процесса UAV Workflow вы планируете, собираете и обрабатываете магниторазведочные данные вашего БПЛА и выполняете все важнейшие этапы по подготовке ваших данных для определения целевых объектов и моделирования.

Вебинар будет посвящен основным преимуществам рабочего процесса UAV Workflow в Oasis montaj и концепциям, которые следует учитывать перед началом работы.

Присоединяйтесь к Джоанне Деммер из Seequent (геофизик проекта) и Марку Лоу (старший геофизик проекта), которые обсудят следующее:

Обзор рабочего процесса UAV Workflow в Oasis montaj и примеры проведения геомагнитной съемки с использованием БПЛА.
Планирование съемки — как спланировать исследования с БПЛА с возможностями съемки в пределах прямой видимости, бесполетных зон и съемки с обтеканием рельефа.
Визуализация и передача результатов георазведки.

Обзор

спикеров

Джоанна Деммер (Joanne Demmer)
Геофизик проекта — Seequent

Марк Лоу (Mark Lowe)
Старший геофизик проекта — Seequent

Продолжительность

35 минут

Смотреть больше видео по запросу

Видео

Узнайте больше об Oasis montaj

Узнать больше

Расшифровка видеозаписи

[00:00:01.750] 
<encoded_tag_open />v Joanne<encoded_tag_closed />Hello everyone<encoded_tag_open />/v<encoded_tag_closed /><!— wpml:html_fragment —>
[00:00:02.710] 
and welcome to this months Technical Tuesday.
[00:00:06.830] 
I’m just going to wait for one minute before starting
[00:00:10.060] 
just to give everyone a chance to get connected
[00:00:12.540] 
and to join the session.
[00:01:01.590] 
Thank you all for joining this months
[00:01:03.380] 
Technical Tuesday session,
[00:01:05.590] 
which is on How To Plan A Drone Magnetic Survey
[00:01:09.290] 
Using The UAV Extension In Oasis Montaj.
[00:01:15.297] 
I’m Joanne Demmer, a project geophysicist
[00:01:18.500] 
at Seequent Australia.
[00:01:25.320] 
In this session,
[00:01:26.390] 
we’ll cover why collect magnetic data with a drone?
[00:01:30.990] 
We’ll go through some case study examples.
[00:01:34.680] 
I’ll give you some tips and tricks on survey planning.
[00:01:39.180] 
We’ll go through a quick outline of the processing workflow.
[00:01:43.790] 
And finally, tips on how to visualize
[00:01:46.440] 
and share your results.
[00:01:50.220] 
So what is a UAV?
[00:01:52.690] 
UAV is short for unmanned aerial vehicle
[00:01:56.550] 
and they’re commonly referred to as drones.
[00:02:00.980] 
In the last decade, they’ve been many advances
[00:02:03.150] 
in the commercialization of UAV systems
[00:02:06.630] 
and developments in sensor technology,
[00:02:09.360] 
which is changing how we investigate the surface
[00:02:12.430] 
and the subsurface of the earth.
[00:02:16.570] 
Drones provide a means to acquire high resolution
[00:02:19.560] 
magnetic data at a fast pace.
[00:02:23.230] 
They are lightweight, powerful
[00:02:25.490] 
and improvements in battery technology
[00:02:27.700] 
have increased flight times, payloads and ranges.
[00:02:32.640] 
Drones can easily and cheaply go where humans can’t
[00:02:36.230] 
and they don’t put people at risk.
[00:02:39.840] 
So when would you consider doing a drone magnetic survey?
[00:02:44.090] 
UAV surveys are not displacing the conventional ground
[00:02:47.480] 
or airborne surveys,
[00:02:49.370] 
rather filling the gap between them.
[00:02:52.910] 
Consider doing a drone survey if you have, for example,
[00:02:56.980] 
an area of steep terrain
[00:02:59.290] 
that is too rugged for a helicopter to draw it adequately.
[00:03:03.800] 
An area too dangerous to access by foot.
[00:03:06.930] 
Perhaps you’ve got marshlands, tailings
[00:03:10.000] 
or danger zones that contain unexploded ordinance.
[00:03:14.850] 
Or a densely populated area or farmland.
[00:03:19.120] 
Drones are quiet so reduce disturbance
[00:03:22.500] 
to residents and livestock.
[00:03:27.730] 
So what types of problems
[00:03:29.120] 
can a drone magnetic survey resolve?
[00:03:33.810] 
They can be used to locate near surface buried objects
[00:03:37.410] 
or infrastructure with a magnetic signature.
[00:03:41.100] 
For example, archeological discoveries
[00:03:43.590] 
or detecting buried cables or unexploded ordinance.
[00:03:50.000] 
This first example shows the results from a Mag Arrow survey
[00:03:54.740] 
that was conducted to detect and delineate
[00:03:57.680] 
buried oil and gas pipelines.
[00:04:00.960] 
The pipes can be identified from the TMI grid on the left,
[00:04:05.300] 
which shows high anomalies that have a linear trend.
[00:04:12.320] 
Drone magnetic surveys can also detect hazards
[00:04:15.870] 
such as sink holes or mine shafts.
[00:04:19.790] 
This example, also a Mag Arrow survey,
[00:04:24.080] 
was conducted to identify abandoned oil and gas wells,
[00:04:27.960] 
and the results were compared with legacy data.
[00:04:32.470] 
The TMI highs on the grids on the left
[00:04:36.130] 
highlight well locations.
[00:04:39.030] 
These have been plotted in blue
[00:04:41.550] 
on the Mag heat map on the right
[00:04:44.430] 
and compared with the legacy locations
[00:04:46.430] 
that have been plotted in black.
[00:04:49.560] 
As you can see, the old information was not very accurate.
[00:04:58.030] 
Drone magnetic surveys can also map
[00:05:00.640] 
environmental contamination.
[00:05:04.320] 
The results from this Mag Arrow survey
[00:05:06.800] 
were used to characterize a landfill site
[00:05:10.766] 
and it was used to identify areas with buried steel
[00:05:14.230] 
and isolate areas with buried organic waste
[00:05:18.010] 
to try and assess the volume
[00:05:19.360] 
of potential methane gas emissions.
[00:05:24.080] 
The data from the three examples I’ve shown
[00:05:27.950] 
were provided by Ron Bell of Geometrics,
[00:05:31.340] 
and they’ve been presented at past sequence Lyceum events.
[00:05:36.770] 
Our fourth and final example demonstrates
[00:05:39.830] 
how and why drone magnetics is being used
[00:05:42.660] 
in mineral exploration.
[00:05:45.459] 
A senior project geophysicist, Mark Lowe,
[00:05:48.430] 
talked to Adam Kroll,
[00:05:50.090] 
the principle geophysicist at AirGEOX
[00:05:53.310] 
about their recent Near Mine Project.
[00:05:57.080] 
<encoded_tag_open />v -<encoded_tag_closed />Hi, my name is Adam Kroll.<encoded_tag_open />/v<encoded_tag_closed />
[00:05:58.600] 
I’m the principle geophysicist of AirGEOX
[00:06:01.780] 
a drone magnetometer acquisition company.
[00:06:05.070] 
These are my details down here in the bottom left
[00:06:07.570] 
in case you want to contact me after this presentation,
[00:06:10.930] 
and thanks Mark for inviting me.
[00:06:13.140] 
So these are a couple of the drones that we use.
[00:06:14.517] 
We’ve got to Gasser Heli at the top
[00:06:17.100] 
and a Gasser Electric Hybrid Multirotor
[00:06:20.980] 
down the bottom there.
[00:06:21.960] 
That’s the one we’ve developed ourselves
[00:06:24.310] 
and flies for about an hour and a half up to two hours.
[00:06:28.940] 
This is magnetometer that we’ve developed ourselves.
[00:06:33.640] 
We use a magnetometer that has a sensitivity
[00:06:35.810] 
of one picoTesla per square root Hertz.
[00:06:38.190] 
So about the same as a gem or Cintrix magnetometer.
[00:06:44.140] 
In the nose here, we also have our
[00:06:48.330] 
GPS IMU laser altimeter,
[00:06:50.520] 
data acquisition system,
[00:06:53.060] 
all that good stuff and a battery
[00:06:54.510] 
that gives it two hours flight time,
[00:06:56.600] 
and the best thing, 500 grams weight
[00:06:58.760] 
so great for endurance of a drone.
[00:07:04.230] 
Essentially all of the,
[00:07:07.320] 
everything we’ve done to design this bird has been to
[00:07:11.340] 
develop the highest sensitivity,
[00:07:13.920] 
most accurate magnetometer data possible.
[00:07:17.580] 
So the magnetometers in the tail,
[00:07:19.000] 
whereas all the electronics are in the nose.
[00:07:21.010] 
We also towed the magnetometer bird down here,
[00:07:25.830] 
20 meters under the multirotor by a rope.
[00:07:29.290] 
And that removes it from any of the electromagnetic noise
[00:07:31.730] 
generated from the multirotor.
[00:07:34.870] 
Now this survey that I’m going to talk about
[00:07:36.410] 
is a near mine site exploration for gold
[00:07:42.040] 
hosted in ironstone sediments.
[00:07:44.750] 
So obviously being iron, it’s magnetic,
[00:07:47.510] 
the best technique is using a magnetometer.
[00:07:51.590] 
The problem that the client has is that
[00:07:53.560] 
they’ve flown the area with a plane
[00:07:57.370] 
and they’ve covered a lot of the ground
[00:07:59.267] 
with this ground magnetics.
[00:08:00.830] 
Problem with the ground magnetics is that
[00:08:02.450] 
they hadn’t had a makeymite there
[00:08:04.070] 
and the makeymite produces a lot of really high frequency,
[00:08:07.410] 
high intensity results that obscure the deposits
[00:08:11.469] 
that they’re looking for.
[00:08:13.150] 
And what we found is that that 15 meters altitude
[00:08:17.420] 
were effectively filtering out that makeymite noise,
[00:08:21.360] 
but we’re seeing deposits
[00:08:22.900] 
sort of 15 meters diameter and larger.
[00:08:26.262] 
I’ll you a little video of how assist flies.
[00:08:30.858] 
(drone engine revving)
[00:08:32.316] 
And is the drone up here and the bird down the bottom.
[00:08:37.011] 
(drone engine revving)
[00:08:43.627] 
And as you can see, 15 meters is a really low altitude.
[00:08:46.760] 
It’s not that high above the car.
[00:08:49.090] 
And that’s all good and well when you’ve got flat ground
[00:08:51.480] 
like this with low level traps.
[00:08:54.990] 
But what happens when the client says,
[00:08:57.640] 
can you fly over our pit, our open pit, and our dump.
[00:09:03.220] 
Flying it that at 15 meters is a little bit hairy,
[00:09:05.440] 
but we said, oh, we’ll give it a go.
[00:09:08.580] 
So what we did was
[00:09:12.570] 
we, 
(clearing throat)
[00:09:13.810] 
sorry, and here’s a just at the bottom here is a
[00:09:17.360] 
it shows that we’re sort of at 330 meters altitude there,
[00:09:20.440] 
it drops by 45 meters into the pit, comes out and then the
[00:09:25.680] 
dump is 15 meters high.
[00:09:30.370] 
So we flew along and as we descended it was going okay.
[00:09:35.460] 
And then it went across the pit floor,
[00:09:39.070] 
but the trouble started when we started climbing.
[00:09:42.380] 
So the drone stopped its horizontal movement
[00:09:45.200] 
and then started climbing vertically.
[00:09:47.300] 
But the momentum of the bird kept it moving forward.
[00:09:50.670] 
And essentially the bird just smashed into the pit wall
[00:09:53.820] 
and it dragged off the hole out of the pit wall,
[00:09:58.700] 
which really wasn’t nice to see.
[00:10:01.030] 
And yeah, pretty much storied out bird.
[00:10:03.170] 
So we went to the client and we said,
[00:10:06.350] 
you know, we can’t do this.
[00:10:07.790] 
We can’t descend into the pit.
[00:10:09.690] 
What we’ll do is we’ll just descend say 15 meters
[00:10:12.530] 
and then fly level through the pit.
[00:10:14.940] 
And so to do that, I generated a DEN
[00:10:18.990] 
where if you see here we’ve got the DEN,
[00:10:22.010] 
but then it flat lines
[00:10:23.750] 
after we’ve descended 15 meters into the pit.
[00:10:26.800] 
So that’s what we did.
[00:10:28.370] 
So we flew to that flight profile and here,
[00:10:31.620] 
you know, Y system shows our GPS altitude, the DEN,
[00:10:36.970] 
the drawing essentially flies along, drops at 15 meters,
[00:10:40.710] 
flat lines over the pit, climbs again.
[00:10:43.230] 
And it does a pretty good job of climbing the dump.
[00:10:47.800] 
So everything went well after that little test.
[00:10:53.360] 
So let’s have a look now at
[00:10:56.740] 
whether we achieved what the client wanted to achieve.
[00:10:59.810] 
So this is the plain magnetic data that they had previously
[00:11:06.950] 
and this is at a high resolution drone magnetic data.
[00:11:12.095] 
So from the outset, all of the features is the same.
[00:11:15.670] 
One thing to note is that over the mine site,
[00:11:18.630] 
there was no adverse effects from flying
[00:11:24.780] 
over the pit or over the dump.
[00:11:27.300] 
We can see here, there’s really not much going on there.
[00:11:30.600] 
There is some ironstone here off to the side of the pit,
[00:11:37.014] 
which is a depth.
[00:11:38.820] 
And there’s probably some
[00:11:40.110] 
small amount of dumped ironstone there,
[00:11:42.900] 
but generally everything went well over there.
[00:11:45.570] 
But can we detect the small ironstone deposits
[00:11:48.480] 
that they’ve paid us to detect?
[00:11:51.320] 
If we scroll over here a little bit,
[00:11:53.080] 
we can see there’s a large ironstone deposit
[00:11:55.780] 
and here’s a little anomaly off to the side.
[00:11:58.670] 
So if we zoom into that and we measure it up,
[00:12:03.250] 
we can say that that’s about a 25 meter wide anomaly
[00:12:08.560] 
in both directions.
[00:12:11.530] 
And if we look at the ground,
[00:12:14.320] 
we can sort of see tracks coming off here,
[00:12:16.420] 
perhaps drilling was done over here but
[00:12:20.814] 
for this spot doesn’t look like any drilling
[00:12:23.860] 
has been done there in the past.
[00:12:25.690] 
And so that’s exactly what the client wanted to see.
[00:12:28.960] 
High frequency, normally anomalies is like that.
[00:12:31.020] 
And as we can see, the data’s really smooth.
[00:12:34.420] 
Really nice.
[00:12:36.990] 
We don’t see makeymite
[00:12:39.010] 
so these ironstone deposits stand out.
[00:12:42.101] 
So it’s a good result for the client.
[00:12:43.870] 
We’ve flown now thousands of line kilometers
[00:12:46.010] 
for them over this area and that relationship continues
[00:12:50.300] 
because essentially they’re happy that the drone data
[00:12:54.470] 
is providing them with something that they can’t get
[00:12:56.510] 
from ground mag and they can’t get it
[00:12:58.240] 
from traditional airborne mag methods.
[00:13:01.630] 
Thank you for your time.
[00:13:04.920] 
<encoded_tag_open />v Joanne<encoded_tag_closed />Tips and tricks on how to plan<encoded_tag_open />/v<encoded_tag_closed />
[00:13:06.750] 
a dry and magnetic survey.
[00:13:09.660] 
So I’ve created a new project in Oasis Montaj,
[00:13:14.200] 
and I’ve loaded the UAV extension.
[00:13:18.850] 
The first option is survey planning.
[00:13:23.180] 
So it’s really easy to plan a UAV survey
[00:13:25.820] 
and to create a flight line plan.
[00:13:28.540] 
All you need is a DTM grid
[00:13:31.040] 
and an area of interest polygon file.
[00:13:35.430] 
If you don’t have a DTM or it’s not an adequate resolution,
[00:13:39.830] 
you can use the public tab to download free SRTM data.
[00:13:48.370] 
You can define an area of interest
[00:13:50.260] 
using CAD tools in Oasis Montaj.
[00:13:53.550] 
This area can be inclusive or exclusive
[00:13:57.180] 
if you need to navigate over or around cultural obstacles,
[00:14:02.510] 
such as pylons or property.
[00:14:07.530] 
The area bound by the yellow box
[00:14:11.270] 
is an inclusive area of interest.
[00:14:14.652] 
And I’m going to modify this
[00:14:16.720] 
to incorporate an exclusion zone.
[00:14:21.340] 
To do that, I go to map tools, CAD tools,
[00:14:25.810] 
and I’m going to create a polygon PLY file.
[00:14:33.380] 
My area is going to be exclusive,
[00:14:37.330] 
and I’m going to append this to the current
[00:14:39.930] 
AOI polygon file.
[00:14:44.369] 
I’m going to draw this interactively on the map.
[00:14:50.450] 
So there is a property here which
[00:14:55.160] 
we’re not allowed to fly over.
[00:14:57.860] 
So I’m going to
[00:15:01.760] 
create an exclusion zone over that,
[00:15:08.480] 
and redraw my polygon file.
[00:15:16.870] 
So I’ve now added the exclusion zone to my area.
[00:15:24.320] 
So once I’ve defined my area of interest,
[00:15:27.810] 
I can go back into the UAV extension and plan a UAV survey.
[00:15:37.950] 
The data that I’m using for this example
[00:15:40.190] 
was a Mike Arrows survey
[00:15:43.430] 
on data was supplied by Ron Bell from Geometrics.
[00:15:50.100] 
So I’m going to give it a survey name.
[00:15:55.673] 
I’m going to define the area of interest polygon file
[00:15:58.220] 
that I’ve just made.
[00:16:03.070] 
It’s automatically detected the coordinate system
[00:16:06.120] 
based on this polygon.
[00:16:10.620] 
So I’m going to plan my UAV survey to a DEM grid
[00:16:13.560] 
and specify the DEM grid here.
[00:16:18.590] 
You can also plan to a constant elevation.
[00:16:25.500] 
A terrain clearance flight line and flight line spacing
[00:16:30.680] 
should all be decided based on your target of interest
[00:16:36.520] 
and the depth of the target and its orientation.
[00:16:42.730] 
Drones can fly really close to the ground
[00:16:45.590] 
so this improves signal strength.
[00:16:49.050] 
I’m going to put a terrain clearance of 35 meters
[00:16:52.490] 
in this example.
[00:16:53.810] 
And my flight lines are going to be east-west.
[00:16:57.270] 
So 90 degrees.
[00:17:03.560] 
And the flight line spacing, I’m going to put 50 meters.
[00:17:08.010] 
You can choose to add tie lines,
[00:17:11.550] 
it’ll automatically calculate the flight line spacing
[00:17:16.490] 
at 10 times the flight line spacing.
[00:17:19.640] 
I would recommend adding the tie lines in a separate
[00:17:24.880] 
flight plan and merge them in later on,
[00:17:29.490] 
this will improve your leveling.
[00:17:34.920] 
You can also display the results in 2D and or 3D.
[00:17:41.570] 
Under the more options,
[00:17:46.560] 
you have further options to
[00:17:51.260] 
change the sample spacing.
[00:17:57.100] 
You can change the line extension
[00:17:59.410] 
beyond the area of interest.
[00:18:01.440] 
I’m going to put 10 meters.
[00:18:06.210] 
This is advisable to accommodate four terms and also
[00:18:12.160] 
push end of line processing artifacts
[00:18:14.990] 
outside of the chargeable kilometers boundary.
[00:18:21.597] 
You can also change the numbering and the number increment.
[00:18:30.580] 
If there is a particular area of interest
[00:18:32.550] 
that you want to force your flight plan over,
[00:18:35.480] 
you can include weigh points
[00:18:37.710] 
and you can locate these interactively on the map.
[00:18:47.590] 
If I want to force my flight plan over this point,
[00:18:52.200] 
I can.
[00:18:59.080] 
So under drape options,
[00:19:00.480] 
you can calculate a drape survey altitude for the drone.
[00:19:06.990] 
So drones can
[00:19:09.830] 
cope with severe changes in elevation really well
[00:19:12.400] 
and they can stick to tightly draped flight plans.
[00:19:16.040] 
So there’s no need to smooth the drape
[00:19:21.036] 
and the climate descent angles can be near vertical.
[00:19:25.130] 
I’m going to put 90 degrees.
[00:19:28.980] 
So the ability to collect data
[00:19:31.180] 
at a consistent height above the ground
[00:19:33.270] 
significantly improves data quality
[00:19:35.840] 
and interpretation later on.
[00:19:41.730] 
So once you’re happy with your settings,
[00:19:46.190] 
you can hit okay.
[00:19:49.880] 
This step produces a survey report,
[00:19:52.070] 
which gives you the line kilometers
[00:19:54.620] 
for each plan survey line,
[00:19:58.400] 
along with the total line kilometers for all of the lines.
[00:20:01.870] 
It gives you the kilometers
[00:20:05.307] 
for all of the area and just the area inside
[00:20:09.040] 
the area of interest.
[00:20:13.000] 
It also produces a flight plan database.
[00:20:19.860] 
All of the flight planned lines are shown.
[00:20:22.340] 
Note how it split the line around the exclusion zone
[00:20:27.160] 
by appending a version one.
[00:20:31.160] 
Each line is defined X, Y, latitude, longitude,
[00:20:35.830] 
DEM and drape value.
[00:20:38.540] 
You can view the flight plan in 3D,
[00:20:46.941] 
or in 2D.
[00:20:50.497] 
And note how it’s split the lines
[00:20:52.850] 
around the exclusion zone there.
[00:20:54.840] 
You can also export the flight plan as a K and Z
[00:20:57.850] 
and view it in Google Earth.
[00:21:02.280] 
So how do you take into account
[00:21:04.160] 
short fluctuations of drones?
[00:21:07.290] 
So you can generate sorties within the survey area
[00:21:11.000] 
based on the drone’s flight range.
[00:21:13.640] 
And you can do this back in the UAV extension
[00:21:16.780] 
in survey planning to find sortie sub areas.
[00:21:22.560] 
So this allows you to take the master flight plan
[00:21:26.010] 
that we’ve just made and split it up into sub areas.
[00:21:33.640] 
The sortie in length is in meters,
[00:21:37.358] 
and this is calculated from the maximum flight time
[00:21:40.990] 
of the drone in seconds.
[00:21:44.860] 
Each sortie sub area polygon
[00:21:47.930] 
is calculated to cover 90 percent of this value.
[00:21:53.080] 
10 percent is reserved to allow for distance
[00:21:55.550] 
traveled to and from the takeoff location.
[00:22:00.810] 
You can include sub area overlap,
[00:22:04.200] 
and this is recommended to improve leveling.
[00:22:07.550] 
And then reduce this to 20 meters
[00:22:09.930] 
and the lateral sub area overlapped to 10 meters.
[00:22:14.960] 
And then I’m going to hit, okay.
[00:22:19.150] 
This has created eight sub areas,
[00:22:24.150] 
and it’s added a takeoff location within each sortie,
[00:22:29.020] 
just shown by the white dots.
[00:22:31.980] 
And these are automatically set
[00:22:33.840] 
to the highest elevation point within the sub area.
[00:22:39.490] 
If you want to modify the sortie sub areas,
[00:22:44.800] 
you can.
[00:22:45.980] 
You can add areas, delete them,
[00:22:48.590] 
or interactively edit the sub area.
[00:22:53.410] 
And you can also move takeoff locations.
[00:22:57.780] 
To help you adjust the takeoff locations,
[00:23:01.100] 
you can add Azure Map imagery to include roads,
[00:23:07.750] 
and this will help you identify site access areas.
[00:23:15.050] 
So the Azure Roadmap has been loaded.
[00:23:18.320] 
I’m just going to untick my DT, so I can see it,
[00:23:20.740] 
or you can make it transparent.
[00:23:23.610] 
And I’m going to move the takeoff location
[00:23:25.990] 
for sub area 1-1 and position it on this road.
[00:23:31.110] 
So to do that,
[00:23:33.120] 
I go back to my survey planning tools in UAV,
[00:23:36.630] 
and I want to move takeoff location.
[00:23:40.170] 
You can select the sub-area that you want to work in
[00:23:44.070] 
and the map that you want to work on.
[00:23:47.660] 
You can include access point files
[00:23:49.940] 
if you’ve got positions saved in a CSV,
[00:23:53.410] 
otherwise you can interactively locate the new position.
[00:24:10.140] 
Once you happy with your sortie sub areas,
[00:24:14.410] 
your takeoff locations and access points,
[00:24:17.480] 
we need to define the sortie paths.
[00:24:20.350] 
So we go back to the survey planning options
[00:24:23.370] 
to find sortie paths
[00:24:25.140] 
and this calculate separate flight paths
[00:24:27.800] 
for each individual sortie sub area.
[00:24:31.590] 
You can do this for all of the sub areas or individually.
[00:24:40.156] 
I’m just going to select 1-1.
[00:24:42.880] 
I’m going to extend the flight plan lines
[00:24:44.820] 
10 meters beyond the sub areas polygon file.
[00:24:49.290] 
And this again is to accommodate for
[00:24:52.480] 
the drone turning and
[00:24:55.180] 
to remove any edge effects that might creep in
[00:24:58.630] 
around the survey boundary.
[00:25:03.190] 
You can load each sortie
[00:25:07.120] 
flight plan into individual databases,
[00:25:10.240] 
and you can display the results on individual maps.
[00:25:17.750] 
The survey report is appended with the line
[00:25:22.090] 
title line kilometers for the sub area.
[00:25:26.210] 
So stats like these are really useful
[00:25:28.480] 
to estimate how much time is required to conduct the survey,
[00:25:33.130] 
and also helpful to calculate how much it will cost
[00:25:38.370] 
and how much you can charge the client.
[00:25:40.910] 
You can use it as well to prepare project proposals.
[00:25:46.490] 
This step also produces a CSV file,
[00:25:49.760] 
which contains all of your takeoff locations in X,Y,Z.
[00:25:53.690] 
So this is useful to put into a GPS and take with you.
[00:26:00.470] 
It also produces a flight plan map of the sub-area
[00:26:06.320] 
along with a flight plan database of the sub area.
[00:26:13.490] 
For regions where regulations require the UAV
[00:26:16.750] 
to be visible to the controller at all times during flight,
[00:26:21.100] 
we can test the VLOS the visible line of sight
[00:26:26.130] 
from the takeoff location.
[00:26:29.460] 
We can do this in the survey planning menu,
[00:26:32.660] 
the UAV extension test line of sight.
[00:26:38.970] 
So we are working in a sub-area 1-1.
[00:26:45.158] 
And the map we are working from was the
[00:26:46.950] 
flight plan map for area 1-1.
[00:26:51.000] 
We don’t have an access points file,
[00:26:52.690] 
but if you had access point locations save to a CSV,
[00:26:57.880] 
you can load that here.
[00:27:01.100] 
To demonstrate what happens when you lose line of sight,
[00:27:05.720] 
I’m going to put the terrain clearance
[00:27:06.897] 
and the takeoff height to one meter.
[00:27:13.820] 
The terrain clearance should be the
[00:27:17.570] 
terrain clearance that you used in your flight plan.
[00:27:21.430] 
And I’m going to display on map.
[00:27:27.720] 
So a notification pops up
[00:27:29.170] 
telling me that 89.5 percent of the points
[00:27:32.130] 
on the full survey path are visible.
[00:27:35.430] 
If I click okay,
[00:27:38.370] 
and move this box out the way,
[00:27:42.620] 
it’s displayed the area that is not visible
[00:27:45.770] 
from the takeoff location on the map.
[00:27:50.050] 
And you can display, you can see from the color bar,
[00:27:53.340] 
the depth below the line of sight that those points are at.
[00:28:00.380] 
So I can include up to four extra observers
[00:28:06.970] 
and add them to points on the map
[00:28:11.760] 
and see if that improves the visible line of sight.
[00:28:16.410] 
So I can activate an observer
[00:28:21.210] 
and I can locate their position interactively on the map.
[00:28:27.950] 
And I’m going to place that observer on this road.
[00:28:34.810] 
Put an observer height again of one meter
[00:28:38.310] 
and display map.
[00:28:41.260] 
And this time the notification is telling me
[00:28:43.400] 
that a hundred percent of the points
[00:28:45.400] 
on the full survey path are visible.
[00:28:48.100] 
So I now know before heading out into the field
[00:28:50.390] 
to conduct my drone magnetic survey
[00:28:54.290] 
that all the rules and regulations have been adhere to,
[00:28:57.280] 
and that the drone is visible at all times during flight.
[00:29:02.920] 
So once the survey has been flown,
[00:29:05.540] 
data from sorties can be imported individually
[00:29:10.080] 
or in batches.
[00:29:13.030] 
The UAV extension has input templates
[00:29:15.770] 
for single sensor magnetic data
[00:29:18.230] 
from commonly used UAV systems,
[00:29:21.120] 
mainly the Mag Arrow and drone mag.
[00:29:24.780] 
It does also have the ability
[00:29:27.490] 
to utilize other ASCII import templates.
[00:29:33.690] 
There is a full suite of processing tools
[00:29:36.360] 
included in the extension.
[00:29:38.540] 
These are for removing data discontinuities
[00:29:43.450] 
or masking data that is acquired why the UAV is stationary.
[00:29:49.037] 
You can also do base station corrections,
[00:29:51.420] 
Idera for removal
[00:29:53.180] 
and correct for lag and heading.
[00:29:59.310] 
Repetitive tasks could be scripted
[00:30:02.250] 
using the record functions.
[00:30:09.920] 
So from this point,
[00:30:11.550] 
you can easily merge data from individual sorties
[00:30:16.930] 
into one master database,
[00:30:21.220] 
and then apply leveling
[00:30:24.780] 
and grit the total magnetic intensity.
[00:30:30.620] 
So this near real-time processing means
[00:30:33.080] 
you can QA QC really quickly,
[00:30:35.310] 
and you can adjust survey parameters
[00:30:37.060] 
whilst you’re out in the field.
[00:30:42.760] 
Once I’ve merged each individual sortie
[00:30:45.770] 
into one master database,
[00:30:48.450] 
printed the TMI and leveled the data,
[00:30:55.550] 
what tools are available in Oasis Montaj
[00:30:58.400] 
to improve the subsurface understanding?
[00:31:03.440] 
So under grid and image, there are a couple of options.
[00:31:07.620] 
We can locate and plot the grid peaks.
[00:31:12.640] 
So this is a target picking tool.
[00:31:15.360] 
It uses Blake Cliff’s method to find peaks in a grid.
[00:31:20.860] 
So I’m going to find peaks in my level TMI grid.
[00:31:29.900] 
I’m not going to apply a smoothing filter.
[00:31:33.050] 
This applies a hunting filter
[00:31:35.640] 
to remove low amplitude high frequency noise.
[00:31:39.130] 
Increasing this number reduces the number of peaks found.
[00:31:44.410] 
I’m going to leave the level of peak detection to normal.
[00:31:49.430] 
So the surrounding grid values in
[00:31:52.590] 
all directions must be a lower value
[00:31:55.550] 
for it to choose that point as a peak.
[00:32:00.450] 
And I’m going to save the results as an extra line D 10
[00:32:04.860] 
in my merged database.
[00:32:10.360] 
This adds an extra column called grid value
[00:32:14.250] 
and makes an extra line in my merged database.
[00:32:19.010] 
I’m now going to plot these grid value points
[00:32:21.080] 
on my level TMI grid.
[00:32:41.620] 
So this is now highlighted all of the peaks
[00:32:44.960] 
in my level TMI grid.
[00:32:49.250] 
Another option is to calculate
[00:32:50.810] 
and display the analytical signal.
[00:32:55.980] 
This is done in the grid and image filters option.
[00:32:59.300] 
So the analytical signal is useful for locating the
[00:33:03.010] 
edges of magnetic bodies,
[00:33:05.890] 
particularly why a remanence
[00:33:07.800] 
and or low magnetic latitude complicates interpretation.
[00:33:13.390] 
So I’m going to use my leveled TMI,
[00:33:16.130] 
it’s my input.
[00:33:18.460] 
You can choose to use the fast forward transform
[00:33:21.360] 
or the convolutional methods.
[00:33:30.150] 
This traits and analytical signal grid,
[00:33:33.770] 
which you can close and then display the grid on your map.
[00:33:49.580] 
Once you are happy with your results,
[00:33:51.710] 
you can share your findings with your team members
[00:33:55.240] 
by connecting to essential server.
[00:33:59.610] 
You can see which server you’re connected to
[00:34:01.100] 
in the top right of your Oasis Montaj window.
[00:34:06.770] 
And then you can use the data services to upload to central.
[00:34:13.160] 
We have a wealth of information
[00:34:14.670] 
available online at seequent.com,
[00:34:18.130] 
where you can find out more about Seequent Solutions,
[00:34:20.750] 
including case studies and blogs.
[00:34:24.670] 
You can find self-learning content
[00:34:26.650] 
at myseequent.com/learning.
[00:34:31.730] 
You can also see what webinars and workshops are coming up
[00:34:35.230] 
by going to sequent.com/community/events
<wpml_invalid_tag original=»PHA+» />[00:34:40.370] 
or by contacting a member of your local Seequent team.

Планирование магниторазведки при помощи БПЛА с использованием рабочего процесса UAV Workflow в Oasis montaj

Обзор

Смотреть больше видео по запросу

Узнайте больше об Oasis montaj

Расшифровка видеозаписи

Related

Планирование магниторазведки при помощи БПЛА с использованием рабочего процесса UAV Workflow в Oasis montaj

Обзор

Смотреть больше видео по запросу

Узнайте больше об Oasis&nbsp;montaj

Расшифровка видеозаписи

Related

Узнайте больше об Oasis montaj