I was visiting Sa Pa, Vietnam, and navigating with Organic Maps. I was looking for a street that would bring me back to the city center. I could not see any on OSM or Google Maps. I walked for a while and was able to see a street that led in the right direction. It turns out that it connected to another street that brought me where I wanted to go. This made me realize how much of the useful information in maps depends on people walking, running, or commuting through those streets. You cannot see these kinds of streets from satellite images. You can only know them, but knowing them, you may not use GPS tracking to record them. I think this leaves only runners and anyone who likes walking to discover most of the streets that are not currently on the map.

Klick hier für Deutsch

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Dear OSM Community

The OSM Apps Catalog presents existing apps based on OSM data.

I have plans to redesign the OSM Apps Catalog. In particular, I want to make the landing page and the detailed view of the apps more accessible to a wider audience.

To understand what this needs, I have created a survey. Please fill it out and share your perspective with me. I would be very grateful if you could forward the survey to people who are not particularly interested in technology. This perspective is especially important to me.

Click here for the survey.

Best regards

Markus aka ToastHawaii

dataset column i: A0025A

rel62578,r2613711,r2613712,r2613713,r2613714,r2613715,r2613716,r2613717,r2613718,r2613719,r2613720,r2613721,r2613722,r2613723,r2613724,r2613725,r2613726,r2613727,r2613728,r2613729,r2613730,r2613731,r2613732,r2613733,r2613734,r2613735,r2613736,r2613737,r2613738,r2613739,r2613740,r2613741,r2613742,r2613743,r2613744,r2613745,r2613746,r2613747,r2613748,r2613749,r2613750,r2613751,r2613752,r2613753,r2613754,r2613755,r2613756,r2613757,r2613758,r2613759,r2613760,r2613761,r2613762,r2613763,r2613764,r2613765,r2613766,r2613767,r2613768,r2613769,r2613770,r2613771,r2613772,r2613773,r2613774,r2613775,r2613776,r2613777,r2613778,r2613779,r2613780,r2613781,r2613782,r2613783,r2613784,r2613785,r2613786,r2613787,r2613788,r2613789,r2613790,r2613791,r2613792,r2613793,r2613794,r2613795,r2613796,r2613797,r2613798,r2613800,r2613801,r2613802,r2613803,r2613804,r2613805,r2776569

[out:xml][timeout:25];{{geocodeArea:Köln}}->.searchArea;rel["admin_level"~"6|9|10"](area.searchArea);out meta;

… See full entry

Panama Canal Authority–Supported Open Data Initiative

Background and Context

The Los Chorros de Ciri basin, located west of Panama City, is a hydrologically and socially important watershed that supports rural communities while contributing to regional water security. In recognition of this dual importance, the Panama Canal Authority (ACP) funded a high-resolution mapping project focused on community-oriented outcomes and long-term public benefit.

This project represents a shift away from closed, single-purpose GIS deliverables toward open geospatial data that can support community planning, environmental stewardship, and collaborative mapping initiatives.

Project Objectives

The mapping effort was designed around the following goals:

• Generate high-accuracy base mapping of the Los Chorros de Ciri basin using drone photogrammetry
• Identify and document community presence within the watershed
• Release derived GIS products for public and open-source use

Data Acquisition and Processing

Drone Photogrammetry Surveys

Multiple drone missions were conducted in early September 2025, covering discrete but adjacent blocks within the basin. The surveys achieved consistent, high-resolution coverage suitable for both environmental and community-scale mapping.

Key characteristics of the datasets include:

• Area coverage exceeding 9 square kilometers across all survey blocks
• Ground sampling distance between 4 and 5 centimeters
• Full image reconstruction for all flights
• Dense point clouds exceeding hundreds of millions of points per block

These datasets were processed using WebODM Lightning and generated orthophotos, digital surface models, and digital terrain models suitable for GIS analysis and mapping.

Accuracy and Quality Control

Survey accuracy was evaluated using GPS and 3D error metrics derived during processing. Reported results indicate:

… See full entry

I am proposing a major initiative to “ratify” and enhance the military fortification data on OpenStreetMap. This project actually began with a very specific personal goal: identifying and submitting newly discovered nodes for the UKBOTA (UK Bunkers On The Air) scheme.

UKBOTA is a fantastic amateur radio award program that encourages the “activation” of historical bunkers and pillboxes. While searching for sites to submit to their database, I realized that while many valid sites exist in specialized archaeological records, our coverage on OSM is often incomplete, misplaced, or lacks the specific metadata (like precise coordinates and typology) required for schemes like UKBOTA. This led me to a broader vision: cross-referencing our map with high-quality datasets—specifically the Extended Defence of Britain (eDoB) database.

The Vision

I have been in discussion with Matt Aldred, the lead developer of the eDoB Online viewer, about bridging his extensive research with our global map. The eDoB database is an evolution of the original Defence of Britain project, offering corrected coordinates, Lidar verification, and specific structural classifications.

By aligning these datasets, we don’t just help the radio community; we create a professional-grade, ratified record of these historical assets for everyone. With tens of thousands of potential nodes to process, doing this entirely by hand would be a nightmare. Therefore, I am proposing a structured bulk import and data enrichment project, conducted in full compliance with the OSM Import Guidelines.

Integration with Wikidata

… See full entry

Normal

So it is almost the end of the year, I thought what if I created a summary blog of what I did.

In Hungary: I’m only doing small edits in my neighborhood if some changes happen

Outside of Hungary: Had a small “let’s map Europe” thing, and added forest/farmland land cover/land uses to several countries (Lithuania, Greece, Switzerland, Finland, Germany, Austria, Republic of Cyprus) And also mapped in some U.S. states, main focus on West Virginia (finally finished it after almost 5 years of mapping: June 2020 till Feb 2025 - read diary entry here: osm.org/user/ottwiz/diary/406073) and Pennsylvania, where I clean up the huge multipolygon mess after some users not taking enough care broke a huge 1k sq km big multipolygon.

So this led me to start fixing up. Of course my goal is to map the forest cover of Pennsylvania as much as possible but it’s a way harder task than West Virginia was. Quality-wise, I try to make the quality of it better than it was, so more accurate and more aligns to the imagery than it’s just a roughly drawn something. (Of course if the terrain is rough, i compare the imagery with other services’ available for OSM)

Other than that, I mapped other states a bit as well like Washington, Alaska, Virginia, Texas just to name a few, but not all of them.

I wish you all a Mappy New Year! - Ottwiz

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I worked on Norse and Orchard in Golden Colorado. The area could use some mapping love.

Info from:

https://gis.jeffco.us/webmaps/pzpublic/index.html

I am going to make some improvements to the Walla Walla Washington area over the next week. I’ve just found the Rapid editor uses the Microsoft Building Footprint data to suggest features. That’s excellent. Speeds things up significantly.

I worked on Lloy street today in Portage MI. It could use some mapping love. Streets are there but not much else.

Porage GIS: https://mi-portage.civicplus.com/177/GIS-City-Maps

Today while looking at the hand drawn parcel maps that the county provides I learned the creek that runs through my neighborhood has changed it’s name. On the maps it’s called Sulphur Spring Creek. On all the other maps I’ve seen, road signs, and from what we locals call it, it’s just Sulphur Creek. There’s even a nature center / animal rescue that is named for the creek. They don’t use the spring in their name either.

OK… after getting the comment re sulfurous springs, I did some digging. I haven’t found any historic proof of the claim in this article from last year, but …

“Nestled in the Hayward hills, the Sulphur Creek Nature Center is home to dozens of birds, amphibians, reptiles and mammals, including a coyote and a fox. The site straddles a small section of Sulphur Creek, named after the sulphur water bubbling up from nearby springs. In 1970, H.A.R.D. acquired the property, then a wellness retreat, and transformed it into the animal sanctuary it is today.”

The “spring” part of the creek is shown to be at the current location of the nature center. The other creeks that feed into it have been conflated into all being “Sulphur Creek” I suppose.

https://tricityvoice.com/sulphur-creek-nature-center-completes-renovation/

The Belgian OSM community is importing buildings from governmental data into OSM for some years now. In December I was supposed to present a analysis about this process regarding the import of buildings data from the PICC, the source of data for the Walloon region.

Unfortunately I got sick and I could not present. Anyway, here are some key numbers about this process not only for Wallonia but for Belgium.

The big picture

In Belgium, there are 3 different sources of government data for buildings, each one for the 3 regions of Belgium: Flanders, Wallonia, Brussels. All these sources are integrated in what we call the “building import tool”: the web application buildings.osm.be. People who want to use this tool are encouraged to learn about the import process and to conflate (merge) with existing buildings. In many places indeed, there are already buildings in OSM and integration of every single imported building with existing ones is the preferred way, rather than “delete and replace”. We also ask to not blindly trust official data and to always look if current data in OSM does not bring interesting added value in terms of accuracy and/or local knowledge. After all, it is one of the key force of OpenStreetMap.

What are the lessons

Having imported thousands of buildings myself in the past 3 years using this tool, I found some weird situations in the government data: oddities in house numbering, strange shapes of buildings compared to aerial imagery, etc. Honestly, these are very rare situations, but still it might be interesting to report it to the administration. What is more frequent are update of buildings compared to official data: during the import, by comparing with the aerial imagery or local knowledge, one can find some new buildings, or demolished ones, or some changes in the building outline.

For other opinions, see this thread: https://community.openstreetmap.org/t/feedback-about-the-buildings-import-process-for-the-picc/138241

… See full entry

In regards that the tool https://wiki.openstreetmap.orgdata.link works best with smaller administerey areas I will break it down on the municipality level(Kommun in Swedish) we have 290 in Sweden.

Goal:

To be served a table which have the following data:

municipality(kommun)	Amount of linked lakes	Total amount of lakes	Precentage
Total amount of municipality(kommun)	Total amount of linked lakes	Total amount of lakes	Total Precentage

Main category of all lakes in Sweden on sv.wikipedia.org:

• Kategori:Insjöar i Sverige

The catgory I will use to get total amount of lakes in each municipality(kommun)

Kategori:Insjöar i Sverige efter kommun

Approach

I will then query each municipality(kommun) using Sophox in the SPARQL language on each municipality(kommun) (by name). I will then get a list of QID of all the wikidata lakes that I then can use to ask Sophox if any element has that wikidata QID. If anyone has that

Acknowledged drawbacks/limitations of this strategy:

1. This database query will not detect cases which multiple elements in OSM has the same QID. The tool https://wiki.openstreetmap.orgdata.link will make you aware of this but not i a table which can give you an overview. For that it is best to update the code at that project, see issue #680 I created in it´s repostory.

Where does the data off the lakes come from in wikidata?

They are inported some time the last 10 years from the national database of lakes and bodies of water called VISS Bots created the articles on Swedish wikipedia from this database and this is the reason we now can link the data from OSM to the wikipedia articles through the wikidata QID on the water=lake polygons(enclosed ways/areas and multipolygons).

Why didn´t I just use the Overpass Turbo API?

… See full entry

Merry Christmas!

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Part 1

Hi! I’m @likeToTravel, and I suck at writing, so I’m gonna go straight to the point:

THE LIST

Pascal Neis Stuff:

• OSMviz. I use this to visualize my changes because I am so dumb, I don’t understand OSMCha (hence, you won’t find OSMCha on my list). To see a changeset, go to the link and add the changeset number after ?c= in the link. Or, just go to…
• Find Suspicious OpenStreetMap Changesets. This is very useful to find changesets that asked for help. You can also have a link directly to that changeset’s OSMviz or Achavi page.
• How did you contribute to OpenStreetMap? (aka hdyc). Cool because you can visualize any user’s stats.
• OSMstats. It’s cool because it has a lot of stats, for lack of a better word.
• OSMfight. Funny :)

Overpass & other:

• Overpass Turbo. I use this to create challenges on MapRoulette, which is cool, but it also has some other interesting uses.
• Achavi. Better version of OSMviz! Basically the same, even the link thing I was talking about with the changeset number.
• OSM Buildings. It’s just cool.
• OSM Lane Visualizer. This helps me a lot with understanding any tag that starts with turn, especially turn:lanes=*& turn:lanes:*=*.
• Go Map!!. OSM Editor for iOS and iPadOS! I don’t use Android, so this is my best option. The UI is weird, and you really need to know your tags if you want to map here, but apart from that, it can also do GPS Traces, which works insanely well with Shortcuts (it is an app).

Honorable Mention

To my hikers, OSM Destination Signs.

I´m trying to start a project to learn SPARQL to be able to get on how many of the 63 00 lakes which are in swedish wikipedia/wikidata has their wikidata tag on the OSM element. If the OSM element contains the wikidata tag we can show the proper zoomed polygon in the template sidebar on the articles in all their glory, instead of just a coordinate from wikidata. Mall:Insjöfakta Sverige is the template which makes this possible, please share it for other purposes to use the maplinked feature on other WMF Wikipedias than sv.wikipedia.org!

Why is it so good with mapframes/maplink maps in wikipedia infoboxes?

https://en.wikipedia.org/wiki/Wikipedia:Why_mapframe_maps%3F

Part 2

Honestly, I have been reading everybody’s diary entries and diving in and looking at all the different areas and detail and I forgot how I even got here! NO idea but I am very intrigued I do not know how much I will have to contribute but I’m determined to figure this all out! I’m fresh meat here amd have never heard of openstreetmap until I landed in the middle of Nigeria very far from home…safe travels and Merry Christmas from Michigan 🇺🇸💋

Love and Light Aphrodite888

I was doing some Unmapped Small Town USA work this evening, and realized that I had tagged a bunch of probable grain silos in other areas as buildings, specifically in Arbela, MO, and Granger, MO, so I’ve gone back in and corrected those to more accurately reflect their purpose. Apologies to Arbela and Granger!

Otherwise, Dover, KY showed up on Unmapped Small Town USA. There’s some great progress already, but still more to do, so I’m taking advantage of some holiday downtime to fill in more buildings.

Otherwise, I hope you have a lovely Christmas Eve, if that is your custom, and a lovely Christmas Day, if that is your custom. If not, I hope you have a very Merry Thursday. :)

It is both weird and cool to see the map of my community change in apps I use regularly. Before I started actively updating things in OSM I didn’t recognize all the places OSM is used.

Last November, I [Re]Introduced Ultra v3 which introduced a bunch of new features. Today, I’m happy to share what’s changed in Ultra over the past year.

Since my last update, I’ve implemented the following features in Ultra:

• Many new styling features enabled by continued MapLibre updates
• Sprite support updates
• A new Overpass/OSM XML&JSON-to-GeoJSON conversion library
• More basemap styles & style previews
• More export options
• Transforms
• More providers
• An “Open with Ultra” bookmarklet

🌍 MapLibre updates

In January of 2025, Ultra updated to the freshly released MapLibre v5, introducing globe support! View Example

Since then, further MapLibre changes have enabled a host of new styling features including:

• color-relief styling from raster DEM sources
• Data-driven line-dasharray support
• Improved font support
• New hillshade methods

📍 Sprites

I’ve added two sprite-related features to facilitate map styling:

SVG Support

… See full entry