![GOOGLE/Research/open-buildings-temporal/v1](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_Research_open-buildings-temporal_v1_sample.png) Dataset Availability : 2016-06-30T07:00:00Z--2023-06-30T07:00:00Z Dataset Producer : [Google Research - Open Buildings](https://sites.research.google/gr/open-buildings/temporal/) Tags : [africa](https://developers.google.com/earth-engine/datasets/tags/africa.md.txt) [annual](https://developers.google.com/earth-engine/datasets/tags/annual.md.txt) [asia](https://developers.google.com/earth-engine/datasets/tags/asia.md.txt) [built-up](https://developers.google.com/earth-engine/datasets/tags/built-up.md.txt) [height](https://developers.google.com/earth-engine/datasets/tags/height.md.txt) [open-buildings](https://developers.google.com/earth-engine/datasets/tags/open-buildings.md.txt) [population](https://developers.google.com/earth-engine/datasets/tags/population.md.txt) [south-asia](https://developers.google.com/earth-engine/datasets/tags/south-asia.md.txt) [southeast-asia](https://developers.google.com/earth-engine/datasets/tags/southeast-asia.md.txt) building-height high-resolution #### Description The Open Buildings 2.5D Temporal Dataset contains data about building presence, fractional building counts, and building heights at an effective^1^ spatial resolution of 4m (rasters are provided at 0.5m resolution) at an annual cadence from 2016-2023. It is produced from open-source, low-resolution imagery from the [Sentinel-2](https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-2) collection. The dataset is available across Africa, South Asia, South-East Asia, Latin America and the Caribbean. The goal of this data is to support organizations (e.g., governmental, non-profits, commercial) focusing on a range of applications for social good. Explore the data interactively with the demo Earth Engine [app](https://goo.gle/open-buildings-temporal-demo-app). (In case you encounter performance issues with the Earth Engine app please try [this](https://goo.gle/open-buildings-temporal-demo) Earth Engine script instead.) Alternatively, if you are not an Earth Engine user, you can download the data directly from Google Cloud Storage using [this notebook](https://colab.research.google.com/github/google-research/google-research/blob/master/building_detection/open_buildings_temporal_download_region_geotiffs.ipynb). For more details on the project and FAQs about the data checkout the project [website](https://sites.research.google/gr/open-buildings/temporal/). Example scripts: - `How to compute building count for a given AOI` - `How to compute built-up area for a given AOI` - `How to see two years side-by-side and compare` ^1^equivalent to what could be achieved by a high-resolution model using a single frame of 4 m resolution imagery. ### Bands **Bands** Pixel size: 0.5 meters (all bands) | Name | Units | Min | Max | Pixel Size | Description | |---|---|---|---|---|---| | `building_fractional_count` | | 0 | 0.0216 | 0.5 meters | Source data for deriving building counts for a given AOI. Please see accompanying example scripts. | | `building_height` | m | 0 | 100 | 0.5 meters | Building height relative to the terrain in range \[0m, 100m\]. | | `building_presence` | | 0 | 1 | 0.5 meters | Model confidence values (i.e. how confident a model is that the pixel is part of a building) in range \[0.0, 1.0\]. Note that model confidence values are uncalibrated, meaning, if model confidence for a certain pixel is 0.8, it doesn't mean the actual likelihood of building presence is 80%. As such, confidence values can only be used for relative ranking (eg. thresholding) of pixels. Also, the model confidence can vary across location and time based on a number of factors such as cloud cover, imagery misalignment, etc. | ### Image Properties **Image Properties** | Name | Type | Description | |---|---|---| | imagery_start_time_epoch_s | DOUBLE | Oldest possible date for source Sentinel-2 imagery used to produce these rasters. | | imagery_end_time_epoch_s | DOUBLE | Newest possible date for source Sentinel-2 imagery used to produce these rasters. | | inference_time_epoch_s | DOUBLE | Time the rasters are supposed to predict the state of the world for, in seconds since epoch. | | s2cell_token | STRING | Token of the S2 cell this tile belongs to. Due to UTM zone boundaries, a single S2 cell that spans multiple zones may have multiple corresponding tiles in different projection zones. See . | ### Terms of Use **Terms of Use** The data is shared under the Creative Commons Attribution ([CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)) license and the Open Data Commons Open Database License (ODbL) v1.0 license. As the user, you can pick which of the two licenses you prefer and use the data under the terms of that license. Leverages the Copernicus Sentinel-2 data (2015-present). See the [Sentinel Data Legal Notice](https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice) ### Citations Citations: - Wojciech Sirko, Emmanuel Asiedu Brempong, Juliana T. C. Marcos, Abigail Annkah, Abel Korme, Mohammed Alewi Hassen, Krishna Sapkota, Tomer Shekel, Abdoulaye Diack, Sella Nevo, Jason Hickey, John Quinn. [High-Resolution Building and Road Detection from Sentinel-2](https://arxiv.org/abs/2310.11622), 2023. ### Explore with Earth Engine > [!NOTE] > **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine) ### Code Editor (JavaScript) ```javascript var geometry = ee.Geometry.Point( [31.549876545106667, 30.011531513347673]); // New Cairo, Egypt var col = ee.ImageCollection('GOOGLE/Research/open-buildings-temporal/v1'); /** * Adds building presence and height layers for a given timestamp. * @param {number} millis Timestamp in milliseconds. */ function addLayers(millis) { // Create a mosaic of tiles with the same timestamp. var mosaic = col.filter(ee.Filter.eq('system:time_start', millis)).mosaic(); var year = new Date(millis).getFullYear(); Map.addLayer( mosaic.select('building_presence'), {max: 1}, 'building_presence_conf_' + year); Map.addLayer( mosaic.select('building_height'), {max: 100}, 'building_height_m_' + year, /*shown=*/ false); }; // Get latest 2 years var ts = col.filterBounds(geometry) .aggregate_array('system:time_start') .distinct() .sort() .getInfo() .slice(-2); ts.forEach(addLayers); Map.centerObject(geometry, 14); ``` [Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/GOOGLE/GOOGLE_Research_open-buildings-temporal_v1) [Open Buildings Temporal V1](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings-temporal_v1.md.txt) The Open Buildings 2.5D Temporal Dataset contains data about building presence, fractional building counts, and building heights at an effective1 spatial resolution of 4m (rasters are provided at 0.5m resolution) at an annual cadence from 2016-2023. It is produced from open-source, low-resolution imagery from the Sentinel-2 collection. The dataset is ... GOOGLE/Research/open-buildings-temporal/v1, africa,annual,asia,built-up,height,open-buildings,population,south-asia,southeast-asia 2016-06-30T07:00:00Z/2023-06-30T07:00:00Z -90 -180 90 180 Google Earth Engine https://developers.google.com/earth-engine/datasets - [](https://doi.org/https://sites.research.google/gr/open-buildings/temporal/) - [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings-temporal_v1)