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Esri introduces ready-to-use geospatial deep learning models through ArcGIS Online

Press Release 13 Oct - 21:18 SAST

Esri introduces ready-to-use geospatial deep learning models through ArcGIS Online

Press Release 13 Oct - 21:18 SAST

by Vinay Viswambharan and Rohit Singh, Esri

Esri has announced the release of ready-to-use geospatial artificial intelligence (AI) models on the ArcGIS Living Atlas. The company has added three models: building footprint extraction and land cover classification from satellite imagery, and another model to classify points representing trees in point cloud datasets.

Existing ArcGIS capabilities allows users to train a dozen deep learning models on geospatial datasets and derive information products using the ArcGIS API for Python or ArcGIS Pro, and scale up processing using ArcGIS Image Server.

These newly released models have been pre-trained by Esri on large volumes of data and can be readily used (without training) to automate digitising and extracting geographical features from satellite imagery and point cloud datasets. These deep learning models are accessible for anyone with an ArcGIS Online subscription at no additional cost.

The models are available as deep learning packages (DLPKs) that can be used with ArcGIS Pro, Image Server and ArcGIS API for Python:

  • The Building Footprint Extraction model is used to extract building footprints from high resolution satellite imagery. While its designed for the contiguous United States, it performs fairly well in other parts of the globe.
  • The Landcover Classification model is used to create a land cover product using Landsat 8 imagery. The classified land cover will have the same classes as the National Land Cover Database. The resulting land cover maps are useful for urban planning, resource management, change detection and agriculture.
  • Tree Point Classification model can be used to classify points representing trees in point cloud datasets. Classifying tree points is useful for creating high quality 3D basemaps, urban planning and forestry workflows.

Users can expect to soon be able to consume the models directly in ArcGIS Online Imagery and run it against their own uploaded imagery, all without an ArcGIS Enterprise deployment. The 3D Basemaps solution is also being enhanced to use the tree point classification model and create realistic 3D tree models from raw point clouds.