Philippines - TM Open Buildings

✦ DISCOVERED BY ORIONAIThinking Machines Data ScienceBuildings and infrastructurePhilippines
Map preview of Philippines - TM Open BuildingsPhilippines

About this dataset

Thinking Machines Data Science is releasing TM Open Buildings, a dataset of manually-drawn building outlines covering 12 Philippine cities with detailed annotations on building and roof attributes as seen over satellite imagery. We contribute the buildings in OpenStreetMap and also made available for download in Kaggle. This is made possible with the support from the Lacuna Fund.

Documentation

### Producing the dataset The team has consulted [HOTOSM Asia Pacific](https://www.hotosm.org/where-we-work/philippines/) and community architects from the Philippine Action for Community-led Shelter Initiatives (PACSII) to validate our attributes and to ensure that our contributions are documented properly. We also looked at street-level views to check tags whenever available. We will take into consideration the feedback from local mappers as local knowledge always precedes, and will always provide changeset comments that are in compliance with OSM guidelines. ### Building Definitions and Attributes We define the buildings we mapped, as well as the attributes included, in the table below. Please refer to our [wiki page](https://wiki.openstreetmap.org/wiki/TM_Open_Buildings) for more details. ### Coverage The dataset covers selected 250m x 250m tiles in 12 Philippine cities, namely Dagupan City, Palayan City, City of Navotas, City of Mandaluyong, City of Muntinlupa, Legazpi City, Tacloban City, Iloilo City, Mandaue City, Cagayan de Oro City, Davao City, and Zamboanga City. The tiles are chosen to focus on residential areas that lie on a wide variety of terrains (urban, coastal, riparian, agricultural, etc.). All settlements and non-settlements within each tile are drawn manually. Data on the locations of the tiles are given in the following [table](https://docs.google.com/spreadsheets/d/1jLoGUtnd1qyvqN43uQEtCo0C4x2QR3DkSKolH2ep_uU/). ### Imagery We used [Mapbox Satellite Streets](https://www.mapbox.com/maps/satellite) imagery as of August-September 2023 to trace the building outlines and deduce roof and building attributes. This imagery is a combination of multiple global satellite imagery sources from commercial providers, NASA, and USGS, which have different capture dates. To check if the outlines in the dataset are the most updated ones in an area of interest, you may compare with another imagery source with a known capture date. ### Legal Notices The License granted for TM Open Buildings does not grant rights to use the name, logo, or trademarks of Thinking Machines. Thinking Machines reserve all other rights whether under their respective copyrights, patents, trademarks, or other intellectual property, whether by implication, estoppel or otherwise. You may view more details of our process in our [wiki page](https://wiki.openstreetmap.org/wiki/TM_Open_Buildings). Kindly use our Github [Issues tab](https://github.com/thinkingmachines/ph-open-buildings/issues) to file any specific concerns about the dataset.

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