এই ম্যাপিং কার্যক্রমে কাতিলা মণ্ডলপাড়া জামে মসজিদের তথ্য হালনাগাদ করা হয়েছে। মসজিদটি নাগা বাজার থেকে প্রায় ৫০ মিটার দূরে অবস্থিত। নিকটবর্তী হওয়ার কারণে নাগা বাজারের মুসল্লিরা নিয়মিত পাঁচ ওয়াক্ত নামাজ আদায়ের জন্য এই মসজিদটি ব্যবহার করেন। এই আপডেটে মসজিদের অবস্থানগত প্রেক্ষাপট ও আশপাশের এলাকার সাথে সম্পর্ক যথাযথভাবে উপস্থাপন করা হয়েছে।

Đường dây 500kV Quảng Trạch - Thanh Hoá (Tỉnh Thanh Hóa).kml https://drive.google.com/file/d/180kpcgJWk2LIcRH6iny8LMQd8PR_anpr/view?usp=drivesdk

Dự án Đường dây 500kV Vũng Áng – rẽ Hà Tĩnh – Đà Nẵng (Mạch 3,4).kml https://drive.google.com/file/d/18gsBSZ8rCX1n7pbaQCFgwE9beyotjSml/view?usp=drivesdk

Dự án Trạm biến áp 500kV Sơn La 1.kml https://drive.google.com/file/d/146riOWv4KVbzMxUavxT38fb8Tyo6yDdE/view?usp=drivesdk

Všem přeji do nového roku hodně úspěchů, ale hlavně štěstí a zdraví - bez něho bychom nemohli ani mapovat. Nechť se nám stále daří precizně mapovat a nabírat nové, nadšené členy. Jsem rád, že zrovna v tento den vám mohu představit náš nový projekt: https://osmcz.michalschneider.site/ Díky za pozornost

Last weekend I traveled to the west coast of Java, specifically Anyer in Banten. The journey was done by train from Jakarta to Cilegon, followed by a local shared minivan taxi to Anyer.

Throughout the trip, I collected field observations using Sakumap. The result was a raw GeoJSON file containing coordinates and timestamps for each entry.

For observations I considered significant, I wrote a detailed report on the OSM Wiki. Less critical features such as restaurants, fuel stations, farms, and forest areas were added directly to OpenStreetMap by importing the Sakumap GeoJSON into iD Editor or JOSM, without additional documentation on the wiki, as the overhead did not seem justified.

… See full entry

작년 작성 결산을 마저 하지 못해 같이 올립니다.

2024년

◈ 집중작성한거(대략 10개안팎 정도) : 가평, 부산, 성남, 세종, 시흥, 안성, 영주, 천안, 파주, 평택, 포천

◈ 그럭저럭작성(서너개에서 5개안팎 정도) : 공주, 대전, 부산, 제천

◈ 한두개씩 : 사천, 인천, 진주, 창원, 통영

2025년

◈ 집중작성한거(대략 10개안팎 정도) : 익산, 김제, 횡성, 순천, 용인, 완주

◈ 그럭저럭작성(서너개에서 5개안팎 정도) : 군산, 정선, 영월, 강릉, 정읍, 진주, 광주, 서울

◈ 한두개씩 : 김해, 통영, 창원, 부산, 울산, 함양, 평창, 강진, 사천

He intentado hacer unos cambios en el mapa para que nos dirija por un trayecto más corto y sin curvas necesasias, además de excrementos de vacas. Conozco esa carretera. Los Gps gratis que usan open street map dirigen por una zona que no debiera. Si ese mismo trayecto lo indico con el gratis de la marca que no puedo escribir o con el famoso que fué diseñado por una empesa de israel pero ahora pertenece a la gran multinacional que no puedo escribir por normas de osm, dirige por donde es rápido, más directo, sin excrementos de vacas. Y entonces mi pregunta es ¿que cambios se necesitan para que funcione correctamente? es que no es lo único que hacen mal los gps que usan open street map. Tanto que es gratis, que no depende de una empresa pero funciona mal. para que me lleve por unas escaleras, por una zona pantanosa o cualquier zona por la que no se puede ir, prefiero W _ A _ Z - E o M -A - P - S

Alguien me puede responder por qué funciona mal? No me gusta depender de un gps de una multinacional, pero si tengo que elegir la seguiridad en la carretera, lo elijo.

Gracias por la respuesta.

Hey, this is my first post here and I think it would be fitting if I’d tell all of you why I even created an account here and started making my own edits on OSM.

Background

First, you need to know that I’m a student at Westpomeranian University of Technology in Szczecin in department of computer science. That means that me, and 90% of people there are nerds with interests like: trains, transportation, hacking, programming, opensource and… well… maps.

How it started?

It all started during a normal day at University. We were walking from one building on campus to another when I noticed that my friend has a map open with a lot of pins and some questions on his phone. I asked him what it is and he told me about “Street Complete”. That’s it! I already knew that my ADHD butt found a new hyperfocus for the indefinite amount of time. I installed it and 3 of us started adding the detail information on the map around our campus.

Street Complete era

So… for the next few days I had Street Complete open on my phone during every tram ride and every walk. I wanted to fill every question. This took some time, I answered some question around the Poland in Szczecin, Kielce, and recently in Wałcz.

Taste for more

Right now I’m at my family house in a village where most OSM information where updated several years ago. I went on a walk and - as usual - opened Street Complete. It was great until I came by a few buildings that were demolished few years ago, but were never deleted from the map. I knew that I can’t just leave them there and I couldn’t do this from Street Complete. I went back home and booted my laptop. I opened the OSM editor for the first time and started making edits around the village. Adding houses that were build recently, deleting stuff that no longer existed, updating the zones, etc.

… See full entry

My diary entries are all my own thoughts and do not represent OpenStreetMap, The Humanitarian OpenStreetMap Team (HOT) or any organisation using the HOT systems. Any errors are all my own work.

Back in January 2025 I found myself mapping a HOT project in Kulob, Tajikstan. I had wanted to find a project to gain some experience of mapping water features and this project fit the bill. In support of a local tuberculosis screening programme, Médecins Sans Frontières required the update or addition of roadways, waterways and residential areas. No buildings. This was not a high priority project, so did not get much interest from the general HOT community. Only 11 mappers, with 3 completing tasks. Local mappers would be updating feature and area names. I mapped about 85% of the project, so I have a little stakeholder interest in the data use.

Around the same time I had started attending the Missing Maps London on-line mapathons early in month and mid-month events. As well as getting mapping advice, this put me in touch with the wider HOT mapping community. It turned out that Jorieke, the Kulob project manager, is a regular of the Missing Maps sessions. Along with several of my HOT on-line mapping colleagues, we met at SOTM Europe in Dundee .

Today Jorieke sent me a link to a podcast interview with one of the MSF doctors using the OSM data in Kulob. We rarely get to know about how our mapping supports end users, you can hear it here and discover other mapping related podcasts.

https://www.theguardian.com/world/2025/dec/19/i-cant-think-of-a-place-more-pristine-133000-hectares-of-chilean-patagonia-preserved-after-local-fundraising

Alguien lo está mapeando?

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.

কাতিলা দারুস সালাম ক্বওমী মাদরাসা রাজশাহী জেলার বাগমারা উপজেলার নিচু কাতিলা এলাকায় অবস্থিত একটি পরিচিত ক্বওমী ধর্মীয় শিক্ষা প্রতিষ্ঠান। মাদরাসাটি নাগা বাজারের উত্তর পাশে অবস্থিত এবং নাগা বাজার থেকে আনুমানিক ১২০০ মিটার দূরত্বে অবস্থান করছে, যা স্থানীয় সড়ক ও পায়ে চলাচলের মাধ্যমে সহজেই পৌঁছানো যায়। প্রতিষ্ঠানটি আশপাশের গ্রামগুলোর শিক্ষার্থী ও ধর্মপ্রাণ মানুষের কাছে সুপরিচিত।

এই ডায়েরি এন্ট্রিতে মাঠ পর্যায়ে যাচাই (ground survey) ও স্থানীয় তথ্যের ভিত্তিতে মাদরাসাটির সঠিক অবস্থান, নাম ও প্রাসঙ্গিক ট্যাগ যাচাই করে OpenStreetMap–এ সংযোজন/হালনাগাদ করা হয়েছে। এর মাধ্যমে নিচু কাতিলা, নাগা বাজার ও পার্শ্ববর্তী এলাকার শিক্ষা প্রতিষ্ঠান সংক্রান্ত ভৌগোলিক তথ্য আরও নির্ভুল ও ব্যবহারযোগ্য হবে বলে আশা করা যায়।

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

কাতিলা সরকারি প্রাথমিক বিদ্যালয় রাজশাহী জেলার বাগমারা উপজেলার কাতিলা গ্রামে অবস্থিত একটি সরকার পরিচালিত প্রাথমিক শিক্ষা প্রতিষ্ঠান। বিদ্যালয়টি নাগা বাজারের নিকটবর্তী হওয়ায় এটি শুধু কাতিলা গ্রামের নয়, আশপাশের এলাকার শিশুদের জন্যও একটি গুরুত্বপূর্ণ শিক্ষাকেন্দ্র হিসেবে পরিচিত। স্থানীয় জনগণের দৈনন্দিন যাতায়াত ও বাণিজ্যিক কেন্দ্র নাগা বাজারের কাছাকাছি অবস্থানের কারণে বিদ্যালয়টিতে শিক্ষার্থীদের আসা–যাওয়া তুলনামূলকভাবে সহজ।

এই বিদ্যালয়ে সাধারণত শ্রেণি ১ থেকে ৫ পর্যন্ত পাঠদান কার্যক্রম পরিচালিত হয় এবং বাংলা মাধ্যমের সরকারি প্রাথমিক পাঠ্যক্রম অনুসরণ করা হয়। বিদ্যালয়টি প্রাথমিক শিক্ষা অধিদপ্তরের আওতাভুক্ত এবং সরকার নির্ধারিত নীতিমালা অনুযায়ী শিক্ষাদান ও প্রশাসনিক কার্যক্রম পরিচালনা করে। এখানকার শিক্ষকেরা শিশুদের মৌলিক শিক্ষা, নৈতিক মূল্যবোধ এবং সামাজিক আচরণ গঠনে গুরুত্বপূর্ণ ভূমিকা পালন করে থাকেন।

OpenStreetMap-এ কাতিলা সরকারি প্রাথমিক বিদ্যালয়ের অবস্থান যুক্ত করার মূল উদ্দেশ্য হলো নাগা বাজার এলাকার শিক্ষা অবকাঠামোকে আরও দৃশ্যমান করা এবং মানচিত্র ব্যবহারকারীদের জন্য সঠিক ও হালনাগাদ তথ্য প্রদান করা। এই তথ্য সংযোজনের মাধ্যমে শিক্ষার্থী, অভিভাবক, স্থানীয় বাসিন্দা এবং গবেষকেরা বিদ্যালয়ের অবস্থান সহজে খুঁজে পেতে পারবেন, যা এলাকার শিক্ষা ও সামাজিক অবকাঠামোর ডিজিটাল নথিভুক্তকরণে সহায়ক @NagaBazar/diary/408001/edit

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: @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

随时补充, 同时作为参考.

中国

• 函谷关 (灵宝, 河南)
• 明水古城 (章丘, 山东)
• 淮军公所, 清河道署及周边 (莲池, 河北)
• 冠世榴园 (峄城, 山东)
• 颜神古镇 (博山, 山东)
• 恐龙公园 (诸城, 山东)
• 郭子仪墓 (礼泉, 陕西)
• 松塘村 (南海, 广东)

美国

• FDR 故居 (Hyde Park, NY)
• 玛利诺修会总部 (Ossining, NY)
• 魏尔农场 (Ridgefield, CT)

DBSN (DataBase di Sintesi Nazionale) is a database containing the most significant territorial information in Italy. It is developed by IGM (Istituto Geografico Militare) and is available in ODbL, as stated on its website. For reference, here’s the DBSN page on OSM wiki.

Since municipality borders in Italy were updated last time in 2001 using ISTAT (Istituto Nazionale di Statistica) data, and since these are open data, I think it’s time to update everything in the right way.

With the help of dsantini’s very useful scripts, I will download boundaries data for one province at a time (starting in Abruzzo, my home region), and then I will continue in alphabetic order.

This project will start on Dec 2025/Jan 2026. I really don’t know how much it will take me, there are 7’896 municipalities in Italy.

Here’s how I will work:

1. download boundaries data for the whole province
2. opening them in JOSM
3. in order to preserve history/chronology, I will modify existing boundary lines/ways modifying nodes position and adding nodes when/where needed
4. I will use dsantini’s map with all DBSN municipality borders for reference to where multiple lines are connected
5. I will only touch borders on land, I won’t touch borders between land and sea
6. I will hopefully make one changeset per completed municipality

I will add below the list of provinces I’ve completed, with the number of finished municipalities for each province:

• Chieti (0/104)

Lots of love, damianeue, mapper since 2019