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
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.
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!
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.
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. :/
Sorry to bug you.. Please in wenners array.. what do you plot resistivity again.. Like how do you do it.. I'd appreciate if you could plot one in a video
Consider two reflectors between two layers. In the first case, the velocity of the upper layer is 2.75 km/s and the velocity of the lower layer is 5.5 km/s. In the second case, the velocity of the upper layer is 3.50 km/s, while that of the lower layer is 4.85 km/s. If a ray travels downward through the top layer at an angle of incidence of 25o in each case, which of the scenarios will result in a larger angle of refraction?
Consider two reflectors between two layers. In the first case, the velocity of the upper layer is 2.75 km/s and the velocity of the lower layer is 5.5 km/s. In the second case, the velocity of the upper layer is 3.50 km/s, while that of the lower layer is 4.85 km/s. If a ray travels downward through the top layer at an angle of incidence of 25o in each case, which of the scenarios will result in a larger angle of refraction?
ERT can be used to detect groundwater because saturated soil will have a lower resistivity than unsaturated. It is often possible to map out the water table using ERT, if your depth penetration is enough.
Thank you for the demonstration. I have been following the same kind of procedure but I keep getting the same error zero size array. I have followed instructions from the Pykrige page but it does not work. I am not sure what the problem is.
There is an example of ordinary kriging in Python given in a different video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-dcDQCarn6qg.html&lc=Ugwi4RsLuAbbzx422Gp4AaABAg
