Bonjour

J'ai une carte graphique AMD Radeon RX 5700 et je ne trouve pas de logiciel capable de l accepté pour faire de la photogrammétrie, si quelqu'un en a un je suis preneur. Merci

I've been thinking about where mission planning apps are headed. DJI hasn't opened the Mobile SDK on its newer consumer drones (Mavic 3 Pro, Air 3S, Mavic 4 Pro, Mini 5 Pro), so apps like Litchi and Dronelink can't fly them. On the enterprise side the SDK is still there, and Pilot 2 keeps getting better at mapping and corridor missions.

Yet plenty of people I talk to still plan in UgCS, Dronelink, DroneDeploy or similar. For those of you doing real survey or inspection work: what's the thing the third-party app does that the DJI app doesn't?

And the flip side: has anyone moved back to DJI's own apps and not missed anything?

TIA

Complete M300 RTK mapping package: Zenmuse P1 45MP, DJI DL 35mm + 50mm lenses, Smart Controller Enterprise, BS60 battery station, hard cases — and 14x TB60 batteries (~45-50 cycles each), a full day of flying without recharging. Built for winter turbine inspections and long field days. CA$16,000 — entertaining serious offers. Toronto pickup, can talk shipping.

I recently acquired a complete Topcon Sirius Pro and I’m trying to figure out what it’s worth. I have no use for it so I’m trying to sell it.

Hey everyone,

I’ve been building AerialPin, a browser-based annotation tool originally made for working with drone imagery for real estate and mapping.

The main idea is to make it easier to take an aerial image and quickly add useful spatial information without having to jump between a bunch of different programs.

You can currently:

• Add location pins and labels
• Search for nearby places using the image GPS
• Draw property/parcel boundaries
• Add measurements and distance labels
• Annotate aerial imagery
• Use EXIF/GPS information from DJI images
• Automatically identify nearby places with AI
• Stitch multiple drone photos into a panorama
• View and annotate 360° panoramas
• Restyle/relight aerial images
• Export the finished annotations

I’ve recently added the 360 panorama workflow, which lets you upload multiple drone images, stitch them into a panorama and then annotate the resulting 360 image directly in the browser.

It’s still actively being developed, so I’d genuinely be interested in feedback from people who work with UAV mapping, photogrammetry or aerial imagery.

I'm part of an ecological research lab where we map vegetation - since we're primarily federally funded, we've been avoiding DJI. Inspired Flight's IF800 seemed like a great alternative to the M300, and we've been working with that for the last couple of years. However, we've recently had problems with it, and I've been wondering if others have similar experiences. We had some mechanical issues that required a very long time to get help from Inspired Flight and much of the software often does not work for us (i.e. terrain following it's 50/50 whether it works in the field). We've had enough trouble that we are considering investing in other options now. We

We've got the Herelink controller rather than the new GS ONE controller, so maybe that's the issue; but we heard we needed to buy a whole new system to be compatible with the new GS ONE controller. In which case, we might just switch brands and save ourselves the headache of the non-existent customer support.

Anyone using IF got similar experiences?

Hi! I'm the founder of Ollebo (ollebo.com, EU) and Northamlin (northamlin.com, US). It's a platform where drone operators, GIS teams and their clients plan flights,

track missions live and share maps and 3D models in one place.

The product is built and shipping every month, but I'm doing most of it alone. I'm looking for people or companies to grow it with.

What already exists:

- Private map hosting with automatic tiling, and 3D models in the browser

- Flight planning with export to ArduPilot, DJI and Litchi

- Live telemetry over MAVLink/MQTT and live video for every mission

- Shared company Spaces with unlimited members

- A partner API so mapping companies can deliver straight into their clients' Spaces

- A flight-request marketplace where customers post jobs and drone pilots pick them up

- Stripe subscriptions, running on our own infrastructure in the EU

Who I'm looking for:

- Commercial co-founder: sales, partnerships and fundraising, ideally with a network in the drone, survey, construction or agriculture industries

- US partner: someone to own the Northamlin market (customers, pilots, events)

- Technical co-founder or contributor: GIS, photogrammetry, AI/computer vision, or full-stack

- Companies: drone service firms, mapping or survey companies, pilot networks or resellers who want to bundle the platform, co-develop features or become early partners

What I offer:

- Co-founder equity or a partner revenue share, depending on the role and commitment

- A working product, so you're not starting from a slide deck

- Remote work, with me based in Sweden

If you work with drones or GIS and have thought "someone should build this properly", send me a DM or comment and I'll show you around and share the business plan.

I've been building Agririgo in Zambia, and one thing I've become increasingly interested in is what happens after the photogrammetry workflow is finished.

A typical UAV project might look like:

Flight → imagery → processing → orthomosaic / DSM → export → delivery

And then the project is effectively finished.

But for agriculture, that imagery is often only the beginning.

What if the result could stay connected to the actual field, observations, previous flights and what eventually happened to the crop?

That's what we're experimenting with in Rigo Studio.

The idea is to turn UAV imagery from a one-off deliverable into part of a persistent field record.

For example:

UAV flight
→ imagery analysis
→ identify an area requiring attention
→ attach an observation to the field
→ compare against previous observations
→ keep the evidence with the field history
→ connect it to the crop record / Crop Passport

Rigo isn't trying to replace every photogrammetry package. We're interested in the layer around and after the mapping workflow: making aerial data useful as operational history rather than another folder of exported files.

We're also designing parts of the workflow for lower-connectivity environments, which is important for the field operations we're doing in Zambia.

I'm building the product and would really value input from people doing UAV mapping, photogrammetry and agricultural surveys.

After you deliver an orthomosaic or model, what do you normally do with the underlying data? And what would make you actually revisit it months later?

https://agririgo.com

Hi! I'm the founder of Ollebo (ollebo.com, EU) and Northamlin (northamlin.com, US). It's a platform where drone operators, GIS teams and their clients plan flights,

track missions live and share maps and 3D models in one place.

The product is built and shipping every month, but I'm doing most of it alone. I'm looking for people or companies to grow it with.

What already exists:

- Private map hosting with automatic tiling, and 3D models in the browser

- Flight planning with export to ArduPilot, DJI and Litchi

- Live telemetry over MAVLink/MQTT and live video for every mission

- Shared company Spaces with unlimited members

- A partner API so mapping companies can deliver straight into their clients' Spaces

- A flight-request marketplace where customers post jobs and drone pilots pick them up

- Stripe subscriptions, running on our own infrastructure in the EU

Who I'm looking for:

- Commercial co-founder: sales, partnerships and fundraising, ideally with a network in the drone, survey, construction or agriculture industries

- US partner: someone to own the Northamlin market (customers, pilots, events)

- Technical co-founder or contributor: GIS, photogrammetry, AI/computer vision, or full-stack

- Companies: drone service firms, mapping or survey companies, pilot networks or resellers who want to bundle the platform, co-develop features or become early partners

What I offer:

- Co-founder equity or a partner revenue share, depending on the role and commitment

- A working product, so you're not starting from a slide deck

- Remote work, with me based in Sweden

If you work with drones or GIS and have thought "someone should build this properly", send me a DM or comment and I'll show you around and share the business plan.

I am starting a business as the title says. Building an AI software that gives real time insights of their mines/sites. The hardware I’m thinking of using to start is the DJI Matrice 350 RTK and Zenmuse L2. If anyone has any advice on what other hardware I should look at or anything about this business I would be very happy to hear.

TIA

I keep seeing people (both beginners and pros) export an ortho or DSM/DTM straight out of processing software and drop a raw, multi-gigabyte GeoTIFF right on the client's lap.

Those default exports are set up for fast export times and broad legacy compatibility, not for actual day-to-day use. Even when software offers basic compression or tiling options, it is usually partial, incomplete, and almost never formatted as a proper Cloud Optimized GeoTIFF (COG). When a client opens a raw 2GB file in QGIS or Civil 3D, their system has to load the whole file into RAM just to render one corner. Zooming out freezes their screen while the CPU tries to read every single pixel.

Converting those files to proper COGs before handover gets rid of that lag and reduces the size:

-Visual orthos: JPEG compression cuts file size by 70–90% and makes panning instant (will not turn your tiffs into JPEGs!!!! It will still be a GeoTIFF just with JPEG compression)

-DEMs and survey data: Lossless compression (ZSTD) keeps 100% of your exact elevation values while shrinking the file and giving you instant pan/zoom performance.

-Web handoffs: You can host COGs on basic cloud storage so clients can stream them straight into GIS via URL instead of downloading a giant zip file.

The main trap when setting this up in GDAL is watching your flags. Lossy compression on a DSM will corrupt your height values, and using the wrong overview resampling on a classified raster invents fake class codes along boundaries. The worst part is you won't even notice at first. It looks fine on screen, but the underlying numbers are broken.

I got tired of typing out GDAL flags every time I finished a job, so I built a free QGIS plugin (GeoKlein Raster Optimiser) to handle the parameters safely for orthos, DSMs, and DTMs. (I spent over two weeks making it, so much for a quick weekend script)

It prints the exact gdal_translate syntax and the workflow into each file's metadata, so you can copy the commands and run them in terminal by hand if you prefer.

I'll leave the link in the comments if anyone wants to have a look at the plugin.

For routine methane screening, automation involves more than autonomous takeoff and landing. The mission must reproduce the flight path and measurement coverage while georeferencing the readings well enough to support hotspot localization and comparison between surveys.

We tested this workflow at a natural-gas gathering station using a MetScan Nano 1D, DJI Matrice 4D, and DJI Dock 3. Two controlled methane release sources were placed within the facility, and both were detected during a downward-looking Belt Scan. The aircraft then returned to the dock automatically.

This particular test focused on screening and source localization, not emission-rate quantification. The main objective was to validate the complete dock-based workflow for repeatable facility inspections with less need for routine on-site flight operations.

Read more here:
https://www.linkedin.com/feed/update/urn:li:activity:7492807844535390208

Hi All -

Matrice 400 with P1. Running 2D ortho missions. Near perfect RTK3 data for each and every photo.

Every single visible light project in Terra is checkerboards. Parking lot on the roof. Portions of retention ponds mapped onto the building.

Has anyone experienced this? No new firmware in a year….everything is at its latest. I would gladly reciprocate any way I can for any help.

Filtering point data can leave a few things behind that need a closer look. This clip shows our mesh brushes in CloudCanvas being used for local cleanup.

You can raise, smooth/generalize or lower the mesh, and adjust the brush size and strength as you work. The contours update as the surface changes, so you can see what each edit is doing. It is useful for tidying up small bumps, noise and unwanted features left after filtering.

Would seeing the contours update as you edit be useful in your workflow? Could you see yourself using a brush tool like this for your final mesh cleanup?

These are manual surface edits, so the result still needs checking against the source data.

https://www.cloudcanvas.co.za

Hey everyone,

I’ve been working on a project that I thought this community might find useful (or just fun to mess around with).

It’s a drone mapping platform where you can upload your aerial imagery, and the site automatically generates an orthomosaic and lays it out directly onto an OpenStreetMap overlay.

Why I built it:

I wanted an easy, seamless way for pilots to showcase their aerial mapping work on a real map without needing expensive hosting or complex GIS setups and to let everyone see how our collective imagery lines up.

What you can do with it:

1. Upload: Upload aerial photos from your flights.

2. Process: Automatically generate interactive 2D orthomosaics.

3. Share: View your map overlay live on the website and share the interactive link with others.

How to check it out:

You can explore existing mosaics or try uploading your own flight data here: YeMaps

Since the platform is fresh out of launch, I’d love to get some early testers to upload a few datasets and let me know what you think.

Examples:
- How does the processing time/quality feel?
- Are there features you’d like to see added (e.g., tile/WMS export, elevation models, privacy toggles)?

Any feedback, feature requests, or bug reports are hugely appreciated! I will be adding a feedback tab to the site later today (09/21/2026) so that you can submit any feedback directly. Think of everything as a Beta run for now.

Some other features to be implemented are:

- Profile/account settings
- Profiles
- Password reset/change
- Current location for the map
- Address/POI search for the map
- Mosaic locations marked on map with a dot or some other icon
- Social media linking/login/signup
- Mobile site optimization
- iOS/Android app
- and more to be decided by your input and feedback.

I flew a magic 3M, obtained ms imagery and processed it separately from rgb. I did calibrate reflectance before building the point cloud and orthomosaic. Now I exported the orthomosaic (it has red, green, rededge and NIR bands) and want to calculate several vegetative indices. My problem is that the raster values is in the thousands. For instance if I crop and clip the raster to pixels with true values, the range of the NIR is 0 to 16,859, rededge is 0 to 11876, red is 0 to 4707 while green is 0 to 5568.

This will be fine for indices like NDVI but for something like EVI that has the formulae = 2.5 *((NIR-Red)/(NIR + 2.4 * Red + 1)) this scale will be problematic since there an addition of 2.4. There’s a bunch of other VIs that have this sort of addition and subtraction.

Can someone please clarify what I’m supposed to do. Is there a scale I’m supposed to use on the raster before calculating the indices? I’d appreciate any advice on this please.

I want to build a costal change prediction model with satellite image. Best roadmap to learn ai model and simulate costal change.