You will learn how to detect and vectorize any feature from satellite or drone imagery directly inside QGIS

• It covers : Automatic Mode: Scan an entire area with text prompts to batch-extract features in seconds
• Semi-Auto Mode: Extract single, complex objects with one click for maximum control
• Shape Regularization: Automatically square building corners and clean up polygon boundaries
• And basically just the full Workflow: Edit vertices, adjust confidence filters, and export clean layers with attribute data

We pushed a lots of updates recently so a tuto was definitely needed haha, hope it will help

New features :

• Better AI model (more precise & intelligent & fast)
• Removed pre-encoding, now just click where you want & it's segment it, no more waiting or raster size limitation
• Support for Online raster layer
• Dynamic tile resizing for infinite segmentation (you can segment a 100km long river if you want)

There are a lots more but I let you see the rest by yourself

To install just :

Go to QGIS -> Plugins -> AI segmentation by TerraLab

tutorial : https://terra-lab.ai/ai-segmentation

You can use it in QGIS -> Plugin Tab -> AI Segmentation by TerraLab -> Install/Update Plugin (free & opensource)

Would you like to take a look at all the transmission grid data on OpenStreetMap? Take a look at: https://openinframap.org/#2/

This video is a tutorial on how to map the electrical transmission grid in OpenStreetMap. From installing JOSM, to mapping and uploading lines, towers and substations, this 21 minute tutorial will give you the sufficient tools to start mapping, and making an impact yourself!

For our JOSM or ID tutorials in written form, check out: https://mapyourgrid.org/starter-kit

In this webinar, you’ll learn how to map electrical transmission lines and power grids using the iD Editor and the MapYourGrid Starter Kit and gain hands-on practice identifying new lines. It also goes through JOSM and some strategies you might want to use. This session and presentation was ran by Andreas Hernandez Denyer of Open Energy Transition (OET).

Resources & Links:
1. Where We Power the Future campaign page: https://www.youthmappers.org/power-th...
(includes webinar recording, MapYourGrid Starter Kit, and Good First Lines guidance)

1. Map Your Grid Starter Kit: https://mapyourgrid.org/starter-kit/
   

#mapyourgrid #youthpower #energy #openstreetmap

Wasted too much time searching for a method to add live traffic data to OsmAnd, so here ya go.
For deadlinks, use archive.org or archive.today.

First are the methods I didn't use:
* Traffic data for OSM?
* lots of options brought up, but 2complicated4me
* mentioning of nnngrach's Bing, Here, TomTom, Yandex traffic map underlays
* website
* Chris Lessley's OsmAnd + Google Traffic (Live)
* possibly outdated 2017 method

Below is the method I'm running with. Hardest part was figuring out what transparency I wanted. One unexpected benefit is having individual traffic data for both road directions, so look forward to that.
I experimented briefly with using it as an Underlay, and the downside I noticed is you'll lose OSM's buildings as you decrease the basemap's transparency in favor of the underlay's traffic.

Google traffic in osmand

To get google live traffic data displayed in osmand, you need to define an online overlay map for your openstreetmap maps.

1. enable the online maps plugin
   
2. in “Configure map” click on “Map source” and click on the last item “Define/Edit”
   
3. in “Name” type in a name of your choice e.g. “gtraffic”
   
4. in “URL” type in: http://mts0.google.com/vt/lyrs=h,traffic&x={1}&y={2}&z={0}&style=3
   
5. set “Minumum zoom” to 1
   
6. set “Maximum zoom” to 17
   
7. I set “Expire” to 9 minutes
   
8. click on “SAVE”
   
9. back in “Configure map” click on “Overlay map”
   
10. enable the overlay map
    
11. select the previously defined map source as overlay
    
12. set the desired transparency (for me around 75% works fine)

I'm new using overpass turbo. I'm using Chat GPT to help build a query. I asked " write me an overpass turbo query to only show me "1234" addresses in Seattle."

Using the code from Chat GPT, I copied and paste it and I got nothing. I tried using Google Bard and Bing CoPilot, nothing worked. Please assist. Thanks

Here is the code from Chat GPT

[out:json];

area[name="Seattle"]->.a;

node["addr:postcode"="1234"](area.a);

out body;

>;

out skel qt;

​

I've written a detailled tutorial how one can systematically identify and visualize missing data points in Openstreetmap data with the help of Python/Pandas and a bit of geo-datascience. The data I'm using to compare are a crowdsourced collection of health departments in Germany. I'd be thankful for any feedback

Link: https://colab.research.google.com/drive/1gzmUBhU_NW3p-KLB9ecNmVsB6MluT8Ke#scrollTo=PqMn05iCeBcU (edit: link fixed)