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Jeremy Maurer
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Добавлен 29 авг 2012
Processing InSAR Using ASF HYP3 On-demand processing
In this video Dr. J shows you how to use the on-demand processing available through the Alaska Satellite Facility's on-demand HYP3 processing to access and download interferograms, which can then be processed into time-series.
Link to InSAR lab notebook and Python processing software mentioned in the video: github.com/jlmaurer/GE6146/tree/master/notebooks
How to Install Jupyter notebook on Windows: www.geeksforgeeks.org/install-jupyter-notebook-in-windows/#
ASF Vertex website: search.asf.alaska.edu/#/
HYP3 on-demand processing guide: hyp3-docs.asf.alaska.edu/
Link to InSAR lab notebook and Python processing software mentioned in the video: github.com/jlmaurer/GE6146/tree/master/notebooks
How to Install Jupyter notebook on Windows: www.geeksforgeeks.org/install-jupyter-notebook-in-windows/#
ASF Vertex website: search.asf.alaska.edu/#/
HYP3 on-demand processing guide: hyp3-docs.asf.alaska.edu/
Просмотров: 1 236
Видео
UAV Maintenance - FAA Part 107 Test Prep
Просмотров 1408 месяцев назад
In this video, Dr. J discusses practices recommended by the FAA for UAV maintenance, including keeping a log book of flights and maintenance performed, performing regular inspections, and pre-flight checks.
Flying at Night - FAA Part 107 Test Prep
Просмотров 3048 месяцев назад
In this second of a two-part series, Dr. J introduces physiological factors that impact night flying, which are physical factors and issues that UAV pilots need to be aware of. Pilots must avoid flying under fatigue, stress, alcohol, or mind-altering drugs.
Physiological Factors p.1 - FAA Part 107 Test Prep
Просмотров 1018 месяцев назад
In this first of a two-part series, Dr. J introduces Physiological factors, which are physical factors and issues that UAV pilots need to be aware of. Pilots must avoid flying under fatigue, stress, alcohol, or mind-altering drugs.
Aeronautical Decision Making p.2 - FAA Part 107 Test Prep
Просмотров 1478 месяцев назад
In this second of a two-part series, Dr. J introduces Aeronautical Decision Making for for UAV pilots. ADM involves defining specific processes for making good decisions, preparing for encountering unexpected situations, and determining safe flying conditions. ADM provides a framework for making sure you are ready to fly safely! Part 1 - ruclips.net/video/5ps56aVqsYg/видео.html
Aeronautical Decision Making p.1 - FAA Part 107 Test Prep
Просмотров 2468 месяцев назад
In this first of a two-part series, Dr. J introduces Aeronautical Decision Making for for UAV pilots. ADM involves defining specific processes for making good decisions, preparing for encountering unexpected situations, and determining safe flying conditions. ADM provides a framework for making sure you are ready to fly safely!
Introduction to Weather, Part 4 (Fronts and Storms) - FAA Part 107 Test Prep
Просмотров 3129 месяцев назад
In this video Dr. J introduces wind and convective currents, and how they relate to other weather topics important for UAV pilots. One of a multi-part series on weather and weather services, this video covers pressure, temperature, and humidity, and how to calculate pressure altitude and density altitude. Weather Part 1 - ruclips.net/video/R7ClUfBqnQs/видео.html Weather Part 2 - ruclips.net/vid...
Introduction to Weather, Part 3 (Clouds and Fog) - FAA Part 107 Test Prep
Просмотров 4069 месяцев назад
In this video Dr. J introduces wind and convective currents, and how they relate to other weather topics important for UAV pilots. One of a multi-part series on weather and weather services, this video covers pressure, temperature, and humidity, and how to calculate pressure altitude and density altitude. Weather Part 1 - ruclips.net/video/R7ClUfBqnQs/видео.html Weather Part 2 - ruclips.net/vid...
Introduction to Weather, Part 2 (Wind) - FAA Part 107 Test Prep
Просмотров 3019 месяцев назад
In this video Dr. J introduces wind and convective currents, and how they relate to other weather topics important for UAV pilots. One of a multi-part series on weather and weather services, this video covers pressure, temperature, and humidity, and how to calculate pressure altitude and density altitude. Weather Part 1 - ruclips.net/video/R7ClUfBqnQs/видео.html
Introduction to Weather, Part 1 - FAA Part 107 Test Prep
Просмотров 6419 месяцев назад
In this video Dr. J introduces several basic weather concepts and how they impact the performance of UAV flights. The first of a multi-part series on weather and weather services, this video covers pressure, temperature, and humidity, and how to calculate pressure altitude and density altitude.
Introduction to Reading Aeronautical Charts for UAV pilots - Part 1
Просмотров 1 тыс.9 месяцев назад
In this video Dr. J covers how to read aeronautical charts, covering the topics that UAV pilots are likely to see on the FAA Part 107 knowledge test for UAS. Link to part 2 of this video: ruclips.net/video/OTo6imLV6TU/видео.html Helpful resources: PHAK ch. 16: www.faa.gov/regulationspolicies/handbooksmanuals/aviation/phak/chapter-16-navigation FAA Aeronautical Charts User Guide: www.faa.gov/air...
Introduction to Reading Aeronautical Charts for UAV pilots - Part 2
Просмотров 6239 месяцев назад
In this video Dr. J continues how to read aeronautical charts, covering the topics that UAV pilots are likely to see on the FAA Part 107 knowledge test for UAS. Link to Part 1 of this video: ruclips.net/video/IbvYRi4dKdw/видео.html Helpful resources: PHAK ch. 16: www.faa.gov/regulationspolicies/handbooksmanuals/aviation/phak/chapter-16-navigation FAA Aeronautical Charts User Guide: www.faa.gov/...
Introduction to multispectral imaging
Просмотров 1,4 тыс.9 месяцев назад
In this video Dr. J introduces the topic of multispectral imaging. Link to Wikipedia article on vegetative indices: en.wikipedia.org/wiki/Vegetation_index NV5 article on vegetative indices: www.nv5geospatialsoftware.com/docs/VegetationIndices.html
Introduction to thermal mapping with UAVs
Просмотров 6279 месяцев назад
In this video Dr. J introduces the use of thermal imaging in drones, including caveats to be aware of when interpreting thermal images.
Static and PPK Processing with Emlid Reach RS2 and Emlid Studio
Просмотров 1,7 тыс.10 месяцев назад
In this video Dr. J describes how to process GNSS data from the Emlid Reach RS2. Static processing can be done using the Canadian Spatial Reference System processing website: webapp.csrs-scrs.nrcan-rncan.gc.ca/geod/tools-outils/ppp.php The Emlid Reach RS2 is a great affordable GNSS receiver, which is especially good to use with students, as it has a simple user interface (a smartphone app). The...
Radio Communication and NOTAMs for UAV Pilots
Просмотров 14410 месяцев назад
Radio Communication and NOTAMs for UAV Pilots
FAA Part 107 UAV Operations - Miscellaneous Cautions
Просмотров 11810 месяцев назад
FAA Part 107 UAV Operations - Miscellaneous Cautions
Introduction to using Ground Control Points with UAV Missions
Просмотров 25711 месяцев назад
Introduction to using Ground Control Points with UAV Missions
Introduction to Mission Planning for UAVs
Просмотров 46511 месяцев назад
Introduction to Mission Planning for UAVs
FAA Part 107 Regulations - Subpart D, Operations over People
Просмотров 1,1 тыс.11 месяцев назад
FAA Part 107 Regulations - Subpart D, Operations over People
Flying a Drone Recreationally - TRUST and B4UFly
Просмотров 12011 месяцев назад
Flying a Drone Recreationally - TRUST and B4UFly
Mapping with Drones - Introduction to Photogrammetry
Просмотров 98711 месяцев назад
Mapping with Drones - Introduction to Photogrammetry
FAA Part 107 Test Prep - Regulations Part 5
Просмотров 10111 месяцев назад
FAA Part 107 Test Prep - Regulations Part 5
FAA Part 107 Test Prep - Regulations Part 4
Просмотров 9611 месяцев назад
FAA Part 107 Test Prep - Regulations Part 4
Mapping with Drones - Introduction to UAS
Просмотров 264Год назад
Mapping with Drones - Introduction to UAS
Amazing video, thank you!
Will this tool work with .laz files too?
Tidal forces (variable according to time of year, month, and day) continiously influence and change the shape of the geoid to a greater magnitude than earthquakes and volcanic activities.
Title should be corrected, this discusses Class B not Class A. Also, click the "Miami TAC" to see the Terminal Area Chart for MIA. It greatly declutters the airspace. Cheers!
As for Mining, is there a way to get >400 ft of depth penetration in narrow spaces?
Thanks, Dr. J - this has been the most clear, concise, and best explanation of this technology I've been able to find on the RUclips. I'll keep watching your stuff, appreciate the thoughtful presentation and the deep understanding you are communicating.
fml
Hang on, at 17:45, shouldn't it be Class E airspace starting at 700 ft AGL because of the magenta shading?? You said it's 1,200 AGL because there's no other indication... but thers that shaded magenta (which I understand overrides the default start of Class E at 1,200 AGL down to 700 AGL) Admittedly, for the UAS pilot, 1,200 and 700 only makes a difference if we're looking at a structure higher than 300 ft, but we might be. Can you clarify?
Great explanation for engineers with different backgrounds
Great channel you curated here, will you do a video on the GPS survey of GCPs and how it works in practice? (you speak about it in the end of the video...) I have a drone mini 3 and GCPs plates from amazon but I dont know how to get the GCPs coordinates, a lot of people saying I have to have a base and then a RTK module? is it right? Thanks mate and keep the great channel!
how long would you say it takes to run? I am working with a .las file from the New York State lidar collection and it seems to be taking a very long time.
I see that the concept of parabola is used to explain the typical reflection signature in GPR data, but it surprises me a lot as it is a hyperbola.
Thanks for your explanation.. I was wondering about how we get variogram model ? Best
I struggled with stable and unstable air. The easiest way for me to remember it (if it makes sense for anyone else) is this: stable air is cool weather. the air is stable with fog because fog is commonly associated with cool air, continuous participation because that keeps thr air cool while showery participation gives the air the ability to warm up, smooth air (obvious why), and then poor visibility because poor visibility is again commonly associated with cool air. Unstable air is all things that gives the air the ability to warm up, thus making a UAS work harder. Not sure if any of this made sense to you guys but that's the way I remember stable vs. unstable air.
Is a bare earth DEM a DSM?
Thanks great stuff…
Hi Jeremy, i tried to use your code example with my DataFrame, but in the Ordinary Kriging, my curve didnt ajust. what can be the problem?
Hi! I'm joining a high-school level quizbee on geodesy and geomatics organized by the geodetic engineering program of our university. Can you please give some pointers on what to focus on studying as the competition is for highschoolers. Also, some suggestions on what to expect on question types and such. Thank you so much sir❤
Hi
Thanks alot Best tutorial for insar data i have seen so far. May i please have your email address In case i need professional help.
You didn't quite explain the purpose of PPP and how the new lat/long information is used. Should it not be entered into Emlid Studio at all?
Agreed - unless I missed it he didn't enter the corrected base coordinates into Emlid Studio, so the "estimated - a priori" adjustments showed at 6:20 in the pdf will not be passed on to the "corrected" rover locations.
Thank you for the interesting lecture!This might sound like a very basic question. But how does one calculate displacement in mm/year? I noticed that absolute displacement between the reference image and secondary image is obtained initially. And as time go by, and more and more images are obtained, the absolute displacement will still be relative to the reference image. Would that mean that the rate of displacement should be (displacement)/(time since reference image)? This way of calculating rate would result in a decreasing rate of displacement as time go by, given time will always be increasing. Another method is to find the change in displacement between 2 images, and extrapolate it to a year. E.g. [(displacement between 1jan and 1feb)/(31)]*365 -> however, this tends to make displacement values extremely large. Too large and it is alarming. Wondering are there any industrial norms to calculate rate of displacement in mm/year? Thank you!
how did you get the xyz of those GCPs? thank you! great video!
Thanks for this video! Weather was my last hurdle to clear, and this helped me immensely during test prep.
ok, this is the best explanation of autocorrelation, covariance, semivariance, and variograms I have ever seen. will definitely be sending this to people who are new to geostatistics and spatial/temporal interpolation.
thanks, this is very helpful
Sir, how semi variogram is computed?
Once you have generated the random array you can copy and paste values so it doesn't recalculate every time you change a worksheet cell.
You are the first one that made the perfect explenation ... I have now my docker and wsl running on the cpu`s and mem and swap i want. Thank you.
thanks, super helpful!
Thank you so much. That was so useful.
is this processing for observations made in Canada or anywhere else
Can be anywhere!
Thank you !
You're welcome!
Thank you for providing this lecture. It helps me to understand GNSS products.
Glad to hear that
thanks for the video!!!
😍🥰
Thanks man
The fact that the FAA is intentionally ambiguous about terminology and exact circumstances pertaining to the issue of flyingnover people shows they either 1) don't want anyone flying over people 2) are intentionally gate keeping 3) Are attempting to make money or influence the industry through compliance waivers 4) Are an inefficient bureaucratic entity - these conclusions aren't mutually exclusive though. They haven't approved any drones for cat 2 or 4 and have only 1 for cat 3 which is fixed wing and costs a gazillion dollars
Excellent introduction, would you mind if I use for a Computer Science class? We teach algorithms for solving equations in class.
So if I don't have a known point, could I use static observations and ppk to get a known point. Then, setup the base station on that known point I created, then configure the base and rover to rtk, and then use the rover to place gcps, and then use emlid studio to correct the gcps and then use that data to create accurate maps and models?
Yes indeed! You can actually do it all in one step by simply post-processing the static observations as the PPK base station. You can do that by sending the RINEX file to the CSRS for static processing and then inputting those coordinates into Emlid Studio.
Really cool presentation :)
Thank you very much!
great video, wish you did the substitution of lambda back into the formula
Jeremy, Thanks for the help. Your channel was the only thing I could find with regards to risk management and detailed weather explanations. Took my 107 today and got an 88. Thanks again!
Great to hear!
Hello doctor, I urgently need your help on a very important matter. Can you help me and teach me? No one is helping me, please..
amazing video, good luck, im physicist too, student
Good summary. Wish you would’ve left the cold front diagram up a little bit longer.
Very helpful and explained well thank you
Anyone needing to do coordinate system conversions you can do so here geodesy.noaa.gov/NCAT/ if you have a file with many entries you can choose the Multipoint option and upload a comma separate file. Tab sep prob works too.
Is it possible to use projected coordinates at all?
Hi @mikariekki5708, I believe that WebODM will always use the closest UTM CRS to georeference a dataset, and the GCP file is also internally projected to UTM during computation. See community.opendronemap.org/t/coordinate-reference-system-and-gcp/4486
@@jeremymaurer9554 Thx, didn't know what proj string etc meant and EPSG: 3879 didn't work. Found out later that I could get the correct coordinate definition in the old string format from ie. QGIS, and that worked. I wish the plugin would filter relevant photos by gps. Only used WebODM and GCP's in one mapping mission so far now. Before that I used Recap Photo for other projects where a surveyor took the GCP's. That was a more streamlined experience, but but both need the coordinates given in a precisely correct format. Ie. Recap Photo doesn't accept commas and uses points since its US based, and WebODM the other way around, also need to flip the X and Y coordinates for both programs. And WebODM doesn't accept tabs, but uses space instead. :/
Olá tudo bem? Sou iniciante, voçe sugere alguma literatura?