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  | [### GEM-15: Near-Global Surface and Terrain Elevation Models (15m) (Experimental) ![](https://developers.google.com/earth-engine/datasets/images/climate-and-sustainability/projects_climate-and-sustainability_assets_gem-15_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_climate-and-sustainability_assets_gem-15_v1) |
  | Google's Near-Global Elevation Models at 15m (GEM-15) is an experimental (under review) near-global elevation dataset at 15m grid spacing derived from sub-meter optical stereo satellite imagery. The dataset is built from optical stereo imagery acquired through 2024 (primarily 2022--2024 30cm Pléiades Neo imagery, supplemented by ... |
  | [climate-and-sustainability](https://developers.google.com/earth-engine/datasets/tags/climate-and-sustainability) [dem](https://developers.google.com/earth-engine/datasets/tags/dem) [elevation](https://developers.google.com/earth-engine/datasets/tags/elevation) [elevation-topography](https://developers.google.com/earth-engine/datasets/tags/elevation-topography) [google](https://developers.google.com/earth-engine/datasets/tags/google) [height](https://developers.google.com/earth-engine/datasets/tags/height) |

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  | [### GHSL: Global building height 2018 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_H) |
  | This spatial raster dataset depicts the global distribution of building heights at a resolution of 100 m, referred to the year 2018. The input data used to predict building heights are the ALOS Global Digital Surface Model (30 m), the NASA Shuttle Radar Topographic Mission ... |
  | [alos](https://developers.google.com/earth-engine/datasets/tags/alos) [building](https://developers.google.com/earth-engine/datasets/tags/building) [built](https://developers.google.com/earth-engine/datasets/tags/built) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) |

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  | [### GHSL: Global settlement characteristics (10 m) 2018 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_C_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_C) |
  | This spatial raster dataset delineates human settlements at 10 m resolution, and describes their inner characteristics in terms of the functional and height-related components of the built environment. More information about the GHSL data products can be found in the GHSL Data Package 2023 report ... |
  | [building](https://developers.google.com/earth-engine/datasets/tags/building) [built](https://developers.google.com/earth-engine/datasets/tags/built) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl) [height](https://developers.google.com/earth-engine/datasets/tags/height) |

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  | [### Open Buildings Temporal V1 ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_Research_open-buildings-temporal_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings-temporal_v1) |
  | 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 ... |
  | [africa](https://developers.google.com/earth-engine/datasets/tags/africa) [annual](https://developers.google.com/earth-engine/datasets/tags/annual) [asia](https://developers.google.com/earth-engine/datasets/tags/asia) [built-up](https://developers.google.com/earth-engine/datasets/tags/built-up) [height](https://developers.google.com/earth-engine/datasets/tags/height) [open-buildings](https://developers.google.com/earth-engine/datasets/tags/open-buildings) |

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  | [### Tallo: A Global Tree Allometry and Crown Architecture Database V1 ![](https://developers.google.com/earth-engine/datasets/images/TALLO/TALLO_TALLO_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TALLO_TALLO_V1) |
  | The Tallo database is a global collection of 498,838 georeferenced and taxonomically standardized individual-tree records compiled across 61,856 sampling sites globally. Spanning 5,163 tree species, 1,453 genera, and 187 plant families, Tallo provides individual-tree measurements of stem diameter (DBH), total tree height, and mean crown ... |
  | [bigquery](https://developers.google.com/earth-engine/datasets/tags/bigquery) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [biomass](https://developers.google.com/earth-engine/datasets/tags/biomass) [canopy](https://developers.google.com/earth-engine/datasets/tags/canopy) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) |