Community Challenge: Dare to map bigger with Pix4Dmatic!

It would only let me embed one image one the first post because I’m a new forum user but this image is good as well to show elevations and image coverage:

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@mohammadgull.cs sorry that your camera is not supported yet, we’re working on improvements to support more cameras that have geolocation and IMU data in their EXIF/Xmp tags. This should land in Pix4Dmatic before the end of the year, but it will not be available in time for this contest.

Increasing winter storm intensity with rising sea level have been eroding shorelines and damaging properties. The overall aerial monitoring project requires biannual flights over 6+ years to support a shoreline repair and restoration plan and incremental permitting involving many government and private stakeholders in and near the damaged area. The submitted orthomosaic is from one of three large, overlapping Pix4D Projects covering a total of 125 acres, much of which is under seawater during higher tide levels. Near the North end, note the inlet/outlet channel of the tidal lagoon (next to the long rock groin) which is advancing toward shoreline homes. Most of the monitored area does not enable optimally-distributed, durable ground control targets or stable terrain point features. The 1773 images are from a Klau Geomatics P4Pro V2, recorded in five consecutive flights during an incoming low tide. Images were georeferenced with KlauPPK software and data from the nearest Continuously Operating Reference Station (CORS). No GCPs were used during Pix4Dmatic processing. Earlier work with Pix4Dmapper and surveyed ground check points have exceeded the overall project’s accuracy requirements.

(Project Log file too large to upload. Will try to reply with the file.)

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Project Log file too large to upload.

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Project log wouldn’t upload.

Section of a Ring Road project. 31 kilometres of six- and eight-lane divided highway, 14 interchanges, 47 bridges, one road flyover, one railway crossing (flyover), one culvert set, one tunnel, as well as three river crossings.
Was flying this site monthly for quantity verification and earthworks planning. Takes about 2 days to collect the data, using 9 base setups for PPK and 12 flights in total.

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Saludos a todos.

Se envía el orto mosaico y nube de puntos de un vuelo que ejecutamos en Lima-Perú para este concurso. El área tiene todos los elementos que un cartógrafo desearía (rio, línea férrea, viviendas, zoológico, conjuntos habitacionales, vías, vías en construcción y un cerro con viviendas). El proyecto, constó de 1229 imágenes o cámaras a un AGL de 146, el numero del proyecto es el siguiente: Project_2020-11-03-10-38*. La ortofoto, presenta una resolución de 3.34 cm/pixel.

El procesarlo con Pix4DMatic, fue fabuloso, ¡super rápido! Aunque la interfaz, no ayuda para mejorar el trabajo (¿qué sucede si deseo clasificar los puntos para obtener las curvas de nivel al nivel del suelo?). Asimismo, no se pudo definir las líneas de energía eléctrica (aéreo), seria muy bueno publicar un tutorial con todas las bondades del Matic así como el manual.

En conclusión, Matic, procesa muy rápido, aunque se debería implementar mayores herramientas o ver si lo exportamos a otro producto para mejorar el trabajo.

Comentario: Trabaje el mismo conjunto de imágenes aéreas en Metashape, pero este software rechazo muchas imágenes, y no se pudo concretar el proceso. Sin embargo, en Matic si se pudo trabajar este objetivo.

Un abrazo a todos.

Edgardo.

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Cool . Pix4D very very good

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Link to the Project Log file.

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This project is part of a long term drone monitoring program taking place on the Tonto National Forest outside of Phoenix, Arizona. The imagery collected is used to monitor vegetative response to management actions within an ongoing riparian restoration project known as the Lower Salt River Restoration Project. In addition to providing this crucial information, this dataset is used to supplement our educational outreach program known as Green Drone AZ. This program teaches high school students how technologies such as Unmanned Aerial Vehicles (UAV) and Geographic Information Systems (GIS) are utilized in natural resource management. Together these projects represent an over $1 million investment from local corporations and have united partners such as the USDA Forest Service, Northern Arizona University, Arizona State University, National Forest Foundation, Audubon Southwest, Arizona Department of Forestry and Fire Management, Boeing and Intel. This dataset is comprised of 9,939 images captured across approximately 400 acres. The flight was flown at 250 AGL with a Phantom 4 Pro and yielded a GSD of approximately 2.25 cm. In addition to this dataset, imagery will also be collected across the site using the Phantom 4 Multispectral. Last spring, our team defied the laws of Pix4Dmapper reality by processing a multispectral imagery set comprised of 78,588 images. Since the spring, we have doubled the size of our project site. Needless to say, we look forward to seeing if Pix4Dmatic is up to the challenge!
Final Log.zip (2.0 MB)

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Hi Proffessional colleaques, I went out and left my system processing my data but after sometimes the system screen went blank but the keyboards light is on, I tried to touching the touch pad severally but the screen refused to respond,
So I pressed the power button to restart it.
After restarting the system i opened the pix4DMapper to continue with the process. So the above is the result that appears on the my screen please next can i do please?

Warning w0032
What can i do please?

Hi @giskopala,

You seem to have processed the first step already, but not steps 2 and 3. The screenshot doesn’t show it, but I have the impression you did not unselect step 1. That’s triggering the warning you see, which says that you’re basically running the step you already did again (which would remove the previous results). In this case, I would click on cancel, then unselect step 1 and proceed with steps 2 and 3. If you marked MTPs, GCPs or Checkpoints after step 1, you can run Process > Reoptimize to include them, before proceeding with steps 2 and 3.

That said, you seem to be using Pix4Dmapper, whereas this community contest is about Pix4Dmatic. If you’d like to participate, please download and install Pix4Dmatic preview 1.5.0 and start your project there once more: https://www.pix4d.com/download/pix4dmatic

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Thanks sir, though i have canceled it restarts afresh upto certain %. Can I cancel and uncheck step then start processing from 2 and 3?

Thank you

IBRAHIM SALEH /

CHAIRMAN/CEO

I. S Surveying & Geoinformatics Limited

Plot 1227 Ahmadu Bello way
Victoria Island Lagos

No Bau07 Gombe Local Govt.
Modern Shopping Complex
Tudun Hatsi Gombe

No 4 Opposite Bwari Area Council Secretariat Gate,
Bwari Abuja

Cell:+234(0)8036493006+234(0)8059373299
Tel: +234(0)8025715727
Email: giskopala@yahoo.com
giskopala@gmail.com

giskopala@outlook.com
Website: www.issgeoinformaticslt

@giskopala can I ask you to please create a new thread in the Pix4Dmapper section of the community? We’ll be able to help you there: PIX4Dmapper Questions/Troubleshooting - Pix4D Community. Thank you for your understanding and cooperation.

This was my first large scale project. It consists of 3 different locations this one being one of them and the largest. It took 2 days to complete the job.

First day was used to mark the GCP’s on the ground and taking some aerial video of the locations. Second day was the photogrammetry part. Drone took off at 7:00 am and finally came down at 11:00 pm. It was a long day. Bear in mind that in Northern Finland at the summertime the sun doesn’t come down at all. So in the end of June it possible to fly 24/7.

I had a generator with me so I could charge the batteries while the drone was in the air. I had 8 batteries and a fast charger + the DJI original charger. This way I managed to keep the drone in the air all the time except the duration of the battery changes off course. It took 10 liters of gasoline 2 liters of water and a bag full of snacks to get the job done. Late in the evening I had used all the gasoline and all of my batteries were empty and when the drone came finally down there was 1/4th of the charge left in the last battery.

If I remember correctly it took almost 3 days to process this part with my old system (Ryzen 2800x, 32Gb ram, 1080Ti). Now it took 6h 20mins with Pix4Dmatic (TR 3970X, 128Gb ram, 2080Ti)
Oh the memories…

2020-11-05_19-56-33.zip (677.6 KB)

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My Entry

Atlantic City Beach Erosion Project
Atlantic City’s beaches are an important part of what Atlantic City is. They are visited by countless residents and visitors alike and offer a free family attraction to compliment its casino industry. Every year the beaches are battered by strong storms locally called “n’oreasters” that add to the natural processes of beach erosion. In an effort to protect these beaches, the Army Corp of Engineers and NJ DEP built beach dunes with vegetation to control this beach erosion. These dunes not only protect the beach itself, but also Atlantic City’s World famous Boardwalk which hosts casinos and tourism establishments. This project of using drones to create ortho photographs, DSM and point clouds will allow all stakeholders to get a rate of erosion of the beaches and dunes to better plan for repairing the dunes and beach replenishment projects. The end goal is to be able to better schedule beach replenishment before critical failures of the dunes and to get a better understanding of how fast this process happens.

Summary: To quantify the rate of erosion of the protective beach dunes in the North Inlet section of the city. An Orthophoto and DSM are created and then compared to datasets collected in the future. This allows for the measuring and rate of gain/loss of the beach and its protective dunes.

Data Set: 2300+ images obtained with DJI Phantom 4 Pro V2 flying at 100’ AGL in a nadir single grid pattern.

Processed with Pix4Dmatic in under 7 hours!

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Montreal-Dorion, Quebec Canada (train depot re-purposing and zoning)

This project of using drones to create ortho photographs, DEM and point clouds that will allow all stakeholders to get a digital twin data that is used for the CAD processing and outputting topo survey and future design drafting. Site survey for the future site re-development. Point cloud and contours were delivered that were used for the topo survey CAD work.

Data Set: 1052 images obtained with ebee + RTK flown at 250’ AGL in a nadir single grid pattern diagonally due to the strong xwind.

Processed with Pix4Dmatic in under 4 hours.

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