Diary Entries in English

Recent diary entries

Introduction

Taking open-source street-level imagery is a productive and fulfilling way to make a lasting contribution to OpenStreetMap. Typically, amateur street-level imagery uploaded to platforms such as Mapillary and Kartaview consists mainly of images scraped from dashcam footage, or from a handheld smartphone. To a lesser degree, some 360 imagery is also taken. Whilst these are valuable, many street-level imagery sequences suffer from various drawbacks including poor resolution and spatial accuracy, motion blur and narrow field of view. Generally the imagery compares poorly to proprietary alternatives that cannot be used for OSM. In this post I propose a fairly low-budget option for 360 street level imagery that has led to satisfying results. The results are comparible to roughly 1st-2nd generation Google Streetview (circa 2010) and is far better than TomTom/Bing Streetside imagery in Australia.

In this post, GPS refers to geopositioning in general through GNSS, rather than the US satellite constellation.

This post is written from Australian perspective using Android/Windows, so results may vary.

By “affordable” I mean <$1000 AUD. My total expenditure on this project was $700-800 AUD, so that may be inaccessible to some.

I am likely to update this post in the near future as the project continues. Please check back here regularly if you are interested, and feel free to reach out on OSM or the OSM World Discord server.

Camera selection

See full entry

Location: Hurstville, St George, Sydney, Georges River Council, New South Wales, 2220, Australia

On this day, I participated in Unique Mappers OSM Nigeria, a monthly Mapathon. It was so exciting to have everyone joining from different part of Nigeria and beyound. I look forward in few weeks ahead when Etsako east would be completely mapped to provide open map and data for humanitarian use.

Today I participated in Unique Mappers OSM Nigeria monthly Mapathon during which I facilitated the mapathon and providing training to newbies in the beginners room. It was so exciting to have everyone joining from diffrerent parts of Nigeria and beyond ,including Germany and Tanzania. We look look forward in the few weeks ahead Etsako east project would be completely mapped to provide open map data to drive humanitarian response and social good project

It was wonderful, if slightly overwhelming and sometimes surreal to finally meet so many fellow mappers again at SOTM Firenze last week, as well as so many new friends that I’d only interacted with online. This was my 4th in person event and it reinforced not only how much Crowd2Map has grown since Brussels 2016 but also how the mapping community has changed.

In 2016 arrived in Brussels late at night, a bit disconcerted to find that I was sharing a bed with a stranger - Miriam from GeoChicas. We quickly got over this surprise and she became a great friend and ally, even visiting the FGM Safe Houses we work with in Tanzania en route to FOSS4G 2018. In Brussels I was a newcomer who knew no one. I tried to navigate the seeming chasm between the brown shirted craft mapper gang and the humanitarian team. In Firenze I was very pleased to note much less of this divide. Arriving felt like coming home after a long journey, meeting so many people from previous events and others for the first time IRL.

Particular highlights for me were talking about the impact of our Digital Champion project, meeting colleagues from Missing Maps HOT and Youthmappers who I’d only interacted with online. Kristen Tonga’s talk on the challenges of mobile mapping in rural Tanzania really resonated with our experiences setting up our Digital Champions program, and we look forwards to working with her going forwards.

Ilya is always enthusiastically working on something interesting and this year was no exception, we’re looking forwards to working with him on Every Door soon. The We’re also looking forward

We were particular proud that Binyam Dele Youthmapper Ambassador from Ethiopia wants to replicate our work fighting FGM there.

Greatly looking forward to next meet up - particularly State of the Map Tanzania in January 2023 and hope to see many of the mapping community there either in person or online!

Posted by radiotrefoil on 28 August 2022 in English. Last updated on 26 June 2025.

The following is an incomplete list of 360 camera sequence examples by model on Mapillary, along with some comments, with respect to the image quality and price of the camera. This will be an ongoing work in progress.

Camera Example Comments
GoPro Fusion Radiotrefoil Image clarity much worse near stitch line between hemispheres but overall quite good
GoPro Max 360ms; ademturkmen Very similar performance to Fusion
NCTECH LTD iSTAR Pulsar zaf3kala Professional quality 11K spherical images, price unknown but assumed to be very high
LG Electronics LG-R105 yoelt Cheap option, offers OK results but a lot of text illegibile
HUAWEI VOG-L29 lehestener Invalid spherical image?
Insta360 One X2 jkingsleya Image quality doesn’t justify price of camera
Ricoh Theta SC adam2  
MADV/Xiaomi Madventure gness  
Garmin VIRB 360 max93600  

Please feel free to help me add to this list and share your insights using the Google sheets link below. https://docs.google.com/spreadsheets/d/1ajTm_0fRKLHiGJS2TW0CNscbW4NItuyjkJxzU_kbLXg/edit?usp=sharing

The Mapillary GraphQL API can access metadata for camera make/model, however it is an undocumented feature and lately I have been getting “access denied” error even when using my API token. If anyone knows a workaround please comment.

Posted by b-unicycling on 26 August 2022 in English.

I was preparing a video tutorial about stiles (online tomorrow morning on my channel). Even though I have mapped quite a few stiles while hiking, I came to the realization that I had mapped a lot of them wrong (mostly using OSMAnd, where I have to remember a lot of tags, bc they’re not presets) after reading the wiki page barrier=stile. Oops. While reading the page, it occurred to me that it was a bit messy, so I tried to tidy it up a bit and tried to find some examples for such cases that are a bit tricky to decide, like the stepover. I had tagged some of those as ladder, because they included more than one step.

I also took a look at the taginfo for the stile values, and boy, was there chaos! I mean, we’re mostly all humans, so we make mistakes and typos which might then be propagated through auto-text in JOSM or copying and pasting, who knows. I actually found one mistake I made myself this way. Some were obvious typos (steover) that I could correct without having visited the site, for others, I contacted the person who had added them (sometimes as far back as 8 years ago, so they couldn’t remember, and just had to delete the stile=* line, unfortunately).

But I also looked at commonly used ones like hipster and added explanations to the wiki page. Two I had to translate into English, and I hope I did it correctly, because they were both in languages I don’t speak, so I used image search to figure out what could be meant. I reduced the list from 4 pages of values to 2.5, so it’s a bit tidier now.

See full entry

Posted by Cristoffs on 24 August 2022 in English.

I’m sure some of you have heard of a map that shows the locations of AEDs in Poland, available at https://aed.openstreetmap.org.pl. Thanks to community activism and a campaign among local government units, more than 3,000 device locations have been introduced. Encouraged by the success of the Polish map, we were then tempted to expand the project’s area of operation to increase community involvement in inputting AED device data into the OpenStreetMap database.

Currently, two members of the OSMP organisation tomczk and starsep are attempting to rewrite the existing version of the website using React technology and implement new functionalities. Their results to date are now available at https://openaedmap.org.

The website will be continuously developing. We would like to prepare websites with statistics broken down by country and make it possible to download data in the same way as in the Polish version of the website. The Colleagues are also working on improving and extending the form to allow not only the addition of device data from the page, but also editing.

Our dream is to expand the functionality with the ability to add photos of devices in order to verify them and make it easier to find them in the field. For which we do not have the technical resources at the moment, but hopefully we can acquire a technology partner to help us with this.

Unfortunately, due to the amount of work this project requires, we need Your help. If you have skills in the following areas please email us at: aed@openstreetmap.pl

We need volunteers to support us with their React.js (front-end) and Python scripting skills, and because of the international character of the project we also need help with translations into languages other than English, with priority for French, Ukrainian, German and Spanish.

The Polish version of this entry is available at: OSMP page

At long last, I’ve done a complete pass over municipal and CDP boundaries in New York State. Barring errors and omissions (I daresay there must be some) every incorporated community and every CDP in the state has had its border checked against NYSGIS Civil Division Boundaries and TIGER/Line 2021 respectively, almost always resolving conflicts in favour of the former. All have place=* nodes representing them, with the node a label member of the boundary relation.

Populations are updated as of the 2020 Census. GNIS, FIPS, NYS SWIS, Wikipedia and Wikidata links are provided.

Most of the remaining work that I’d have to do before I consider the job to be done has to do with the tagging on the place=* nodes. Right now, they’re a hodgepodge. Most of them came in from the TIGER import of 2008 with place=* representing their form of government. This is NOT an indication of the significance of the place. Brentwood, Long Island, a bustling community of over 60,000 souls, is tagged place=hamlet because it does not have home rule. Geneva, a sleepy lakefront village is 3400 inhabitants or so, is tagged place=city because it has a city charter.

For a first stratification, I’d propose simple thresholding on population:

See full entry

Posted by Natfoot on 20 August 2022 in English.

Lights

First encounters

After mapping street lights and poles and then Seamark lights I looked deeper into how to map light mostly light that is made my man and is in a consistent location. The addition of mapping lighting in Street Complete made this question greater with a tag like lit=yes this is great and all but not very descriptive if talking about a street or a way that may have puddles of lights at each street light.

Beyond

This has taken me to the point of looking at adding night lighting to the tops of power poles or rotating beacons on top of airport towers. These sorts of things could be found it mapping seamarks but for the most part is not appropriate for Open Sea Map. This is the line between it exists and there is a standard to make the light show and to add the correct tags to describe its sequence of flashing but it is not a seamark light but there is overlap between. There are power pole or tower lights that do show on nautical charts.

Thoughts and reflection

Are we mapping with enough detail, is it easy for a first time mapper to contribute, and are we mapping for the renderer? Anything I missed below?

Lit:

osm.wiki/Key:lit

Highway:

osm.wiki/Key:flashing_lights osm.wiki/Tag:highway%3Dtraffic_signals osm.wiki/Key:crossing osm.wiki/Tag:highway%3Dstreet_lamp

Railway:

osm.wiki/Tag:railway%3Dlevel_crossing osm.wiki/Tag:railway%3Dsignal

Man_made:

osm.wiki/Tag:man_made%3Dlighthouse

Seamark: osm.wiki/Seamarks/Lights osm.wiki/Seamarks/INT-1_Section_P

Complicated Light mapping. osm.wiki/Seamarks/Sectored_and_Directional_Lights

Aviation: osm.wiki/Proposed_features/Aviation_Obstacle_Light

Posted by Skunkman56 on 17 August 2022 in English.

I have been tracking down some properties owned and managed by the University of Michigan, Michigan State University and Michigan Technological Univeristy. These include university properties managed as farms, forests, nature reserves, and field-based teaching. Many are open to the public, so this allows greater access to recreational opportunities by having these added and available in OSM.

Other efforts have been to map properties owned by the Nature Conservancy and other land trusts that are open to the public. County Forests, parks, and other local owned public properties are important in my view as well. The MapRoulette challenge for Michigan GNIS nodes by user BBMiller has been a useful tool to focus on those features, particularly the emphasis on adding the GNIS:feature_id identifier which will assist with Wikidata and Wikipedia integration.

I was inspired to create my own MapRoulette Challenge for Michigan GNIS stream and canal points to add the GNIS identifer where missing, as well as build in potential for future automated editingn tools to improve connectivity to wikidata, and just plain add in named rivers, streams, and drains that are missing from OSM, incomplete, or need their ways to be collected into relations.

Upcoming, i am thinking of making another MapRoulette challenge for the midpoints of roads on the Ottawa National Forest- most of those seem to be missing so that would be an opportunity to focus on digitizing and adding those in a high quality level from USGS 3DEP/aerial imagery rather than directly importing.

Just been a lot of fun working on Michigan things and figuring out some routes to improve OSM. See you in the changesets!

Posted by Jmapper007 on 16 August 2022 in English.

It has been the 435 days since the start of my OSM days, don’t remember why I started, I just did. It started small with adding minor businesses and fixing road names, then I mapped out large chunks of landuse at a time around my hometown. eventually, this evolved into an ongoing (though slowly moving) project across the Central-Eastern part of Connecticut. Then recently I got involved with the OSM Discord server for guidance. Also recently I began #NoteFreeCT like #CloseTheNotes but we (I) focus on Connecticut as a whole, also started a little micro mapping as well, hopefully all this doesn’t get too out of control.

Until next time, Jmapper007

P.S. next time most likely won’t be any time soon.

Location: South Windham, Windham, Southeastern Connecticut Planning Region, Connecticut, 06266, United States

The Problem

In order to do beautiful micro-mapping it is necessary to map ways with a lot of nodes. However, it is painful for other mappers to connect their own adjacent ways to these nodes.

Possible Solutions

  1. Some mappers have suggested using multi-polygons to cut those ways and attach multi-polygons. But I have a personal problem with this which stems from the fact that a lot of beginners have a hard time understanding the concept of multi-polygons and how to use them.

  2. Another solution is to remove the way entirely. However, this also removes the history of that item, which I’m averse to.

The Main Culprit

The #ADT Apple Data Team has been multiplying nodes on coastlines and waterways all over Central America. Here are some examples:

Changeset in Belize by DaleOfAire

Changeset in Belize by Ometepe

Changeset in Belize by Ometepe

Location: Bahía Puesta del Sol, Caye Caulker Village, Belize

The State of the Map 2022 (SotM) international conference will start in a few days. It will be the first in-person conference after the Covid19 pandemic started and thanks to the SotM volunteers, it will be a hybrid event.

While participating in SotM can be exciting for community members, it can also be stressful for introverts or people who plan to attend but want to minimise their social interactions due to Covid. Additionally, there are people who would like to approach others to talk to them, but may feel apprehensive doing so.

Trying to help with the above, this year I will bring some coloured communication pin-back buttons that community members can get and wear during the conference. The aim is to facilitate participants’ communication by making it easier to show if you want other people to talk to you at a given time or not.

What coloured communication pin-back buttons you can get at State of the Map 2022

The idea is that participants can wear a different button based on their communication preferences at the time. Showing a

  • green pin-back button: the person is actively seeking communication and wants to be approached by people interested in talking.
  • yellow pin-back button: the person wants to be approached by people they had discussions before. The person may approach other people to talk (if they wear an appropriate button or none at all), and that is ok.
  • red pin-back button: the person probably does not want to talk to anyone or just to selected people. The person may approach other people to talk (if they wear an appropriate button or none at all), and that is ok.

If someone talks to you even if your button indicates that they shouldn’t, please keep in mind that they might not know about these buttons.

See full entry

Since I started https://opencampingmap.org I do a lot of campsite-mapping.

Doing that I quickly realized, that just using capacity is ambiguous when used for campsites. Thus I just ignore it on my map and show it as a bug if used.

While there is often a limit on persons in backcountry campsites, tourist sites tend to have a limit regarding the number of tents or caravans!

So how to map? Well this is what I suggest to do:

  • If the number of people allowed to use the site is limited tag capacity:persons appropriately.
  • If the number of tents or caravans/RV is restricted use capacity:tents or capacity:caravans
  • If the site has a fixed number of pitches and does not distinguish between using them with a tent or caravan/RV use capacity:pitches instead.

Open Camping Map (GitHub) is a useful little tool developed by @giggls that provides camp site information for when you want to travel.

We recently added integration with Mangrove Reviews. When selecting a camp site, the Mangrove API is queried to get reviews based on the geo: link. Checkout this pull request for a behind-the-scenes look on the code.

And here’s how it looks:

Screenshot of a review

➡️ What do you think - is this useful? How do you feel about reviews in general? And: Which (FOSS) apps/websites do you use for camping?