- Australia Building Footprints🔍
- Key:building🔍
- A planner's guide to acquiring building locations data🔍
- Paved or unpaved? A Deep Learning derived Road Surface Global ...🔍
- Free GIS Datasets🔍
- Cesium OSM Buildings🔍
- The quality of OpenStreetMap food|related point|of|interest data for ...🔍
- Open vector tile schema for OpenStreetMap layers🔍
An OpenStreetMap derived building classification dataset ...
Australia Building Footprints - Kaggle
Will the data be used or made available in larger OpenStreetMap ecosystem? ... Yes. Currently Microsoft Open Buildings dataset is used in ml-enabler for task ...
Key:building - OpenStreetMap Wiki
The most basic use is building = yes , but the value may be used to classify the (architectural) type of building. Note that it may be not the ...
A planner's guide to acquiring building locations data
Machine learning and satellite image-derived population density maps are available through Facebook and Columbia University.2 The Connectivity Lab at. Facebook ...
Paved or unpaved? A Deep Learning derived Road Surface Global ...
We have released an open dataset with global coverage on road surface characteristics (paved or unpaved) derived utilizing 105 million images ...
Dataset - National Housing Data Exchange
OpenStreetMap is a community driven repository of data about buildings, roads, trails, cafés, railway stations, and much more, all over the world. Data ...
Free GIS Datasets - Categorised List
... creating 'anthropogenic biomes'. Gridded data at ... derived from a Freedom of Information request to Royal Mail, plus OpenStreetMap data.
It's derived from OpenStreetMap and contains over 350 million buildings with per-building metadata. This includes basic information like building name and ...
The quality of OpenStreetMap food-related point-of-interest data for ...
Because one of our aims was to test the correlation between exposures commonly used in epidemiological research as derived from OSM data local datasets, we ...
Open vector tile schema for OpenStreetMap layers - OpenMapTiles
Aeroway polygons based of OpenStreetMap aeroways. Airport buildings are ... Class is derived from the value of the highway , construction , railway ...
Earth Engine Data Catalog | Google for Developers
The dataset is a 10m global industrial and smallholder oil palm map for 2019. It covers areas where oil palm plantations were detected. The classified images ...
Map features - OpenStreetMap Wiki
OpenStreetMap represents physical features on the ground (eg, roads or buildings) using tags attached to its basic data structures (its nodes, ways, and ...
OpenStreetMap Foundation - Organizations
Buildings derived from OpenstreetMap, December 2019 ... The dataset is a polygon layer with all types of buildings divided to the main categories. Data was ...
[PDF] Extracting the U.S. building types from OpenStreetMap data
This work proposes and utilize an unsupervised machine learning method to classify building types based on building footprints and available OpenStreetMap ...
ArcGIS Datasets in OpenStreetMap - Esri
LINZ provides recent building outlines extracted from LINZ aerial imagery as open data and was happy to see this data added to OSM. The ...
Extracting the U.S. building types from OpenStreetMap data - 集智斑图
We identified various approaches to improvingthe quality of the classification, such as removing sheds and garages from thedataset. Furthermore, ...
The Ultimate Guide to OpenStreetMap & BigQuery - CARTO
OpenStreetMap - or OSM - is essentially a global crowdsourced effort to map the world. Contributors map everything from administrative boundaries to highways to ...
Downloading OpenStreetMap data using QGIS and QuickOSM
Dr. Sterling Quinn shows how to download OpenStreetMap data using the QuickOSM plugin in QGIS. Central Washington University offers a GIS ...
Automatic Extraction and Filtering of OpenStreetMap Data to ...
The maps obtained with the classification using the several training datasets are then presented in Section 4.2, where some examples of the ...
Accessing OSM Data in Python - PyGIS
OpenStreetMap (OSM) is a global collaborative (crowd-sourced) dataset and project that aims at creating a free editable map of the world containing ...
Assessment and Visualization of OSM Building Footprint Quality
The layered hexagonal binning map derived from the result dataset. The atlas provides more detailed queries for a specific commune, displaying individual ...