Abstract: Methods and systems for generating three-dimensional vector maps representing three-dimensional features are provided. An example method involves accessing multiview imagery that depicts a three-dimensional feature, applying a machine learning model to the multiview imagery to generate a representation of the three-dimensional feature, and outputting the representation.

Abstract: Methods and systems for generating geometric models of buildings from multiview imagery are provided. An example method involves displaying at least a first image and a second image that depict the building from different points of view, providing functionality for a user to annotate, with reference to at least the first image and the second image, a three-dimensional structure of a first building section of the building having a polygonal outline of a first substantially horizontal roof structure situated at a first height, and a three-dimensional structure of a second building section of the building having a polygonal outline of a second substantially horizontal roof structure situated at a second height lower than the first height. The polygonal outline of the second substantially horizontal roof structure is annotated by selecting a point located directly on one of the side walls of the first building section.

Abstract: Methods and systems for generating geometric models of buildings with complex roof geometry from multiview imagery are provided. An example method involves establishing a three-dimensional coordinate space for the multiview imagery, and displaying, through an annotation platform, first and second images of the multiview imagery depicting the pitched roof from different points of view. The method further involves receiving, through the annotation platform, user input annotating the first and second images with a plurality of roof elements defining a three-dimensional structure of the pitched roof, and reconstructing, based on the user input received through the annotation platform, a geometric model representing the three-dimensional structure of the pitched roof situated in the three-dimensional coordinate space.

Abstract: Methods and systems for determining the height of structures based on imagery of the structures and associated two-dimensional vector data are provided. An example method involves projecting two-dimensional vector data outlining a roof of a structure into images of the structure captured from different perspectives and feature matching the vector data across the imagery to determine a best-matching three-dimensional position for the roof situated at the height of the structure.

Abstract: Example systems and methods for data augmentation for occlusion handling in feature extraction are provided. An example method involves accessing a tree cover source image that depicts one or more areas of tree cover, extracting a tree cover map from the tree cover source image that labels areas of the tree cover source image as either areas covered by tree cover or not covered by tree cover, selecting a contiguous area of tree cover from the tree cover map to use as simulated tree cover, accessing a geospatial image depicting a building, placing the simulated tree cover in the geospatial image to generate a tree cover-augmented geospatial image, wherein the simulated tree cover partially occludes a rooftop of the building as depicted in the geospatial image, and training a machine learning model, using the tree cover-augmented geospatial image, to extract building rooftop polygons outlining buildings as depicted in geospatial imagery.

Abstract: Methods and systems for generating vector maps representing features depicted in imagery are provided. An example method involves obtaining remote imagery that depicts a feature, applying a machine learning model to the remote imagery to extract a geometric model of the feature encoded as a tokenized representation of a sequence of annotation operations, and interpreting the tokenized representation as a vector map representing the geometric model of the feature.

Abstract: Methods and systems for determining the height of structures based on imagery of the structures and associated two-dimensional vector data are provided. An example method involves projecting two-dimensional vector data outlining a roof of a structure into images of the structure captured from different perspectives and feature matching the vector data across the imagery to determine a best-matching three-dimensional position for the roof situated at the height of the structure.

Abstract: Methods and systems for generating artificial parcel data are provided. An example method involves accessing geospatial imagery that depicts at least one building and its surrounding area, applying at least one machine learning model to the geospatial imagery to generate artificial parcel data that represents a shape and location of a legal land parcel occupied by the building, accessing building footprint data comprising at least one polygon that represents a shape and location of the building, storing the artificial parcel data and the building footprint data in association with address data that represents an address of the building, receiving a query, the query comprising an address of the building or geospatial coordinates situated within the building footprint or artificial parcel data corresponding to the building, and providing, in response to the query, the building footprint data and the artificial parcel data corresponding to the building.

Abstract: Methods and systems for generating geometric models of pitched roofs of buildings based on multiview imagery are provided. An example method involves establishing a three-dimensional coordinate space for the multiview imagery, displaying, through an annotation platform, multiview imagery depicting the pitched roof from different points of view, and providing, through the annotation platform, functionality for a user to define a perimeter of the pitched roof, define a ridge line of the pitched roof, and define at least part of a roof facet of the pitched roof by connecting the ridge line of the pitched roof to the perimeter of the pitched roof.

Abstract: Methods and systems for enhancing elevation models with landcover feature data are provided.

Abstract: Methods and systems for extracting and reviewing landcover feature data are provided. An example method involves accessing geospatial imagery covering a geographic area and landcover feature data extracted from the geospatial imagery, subdividing the geospatial imagery into a grid of image tiles, assigning landcover feature data review technicians to review the image tiles and associated landcover feature data through a landcover feature data review platform, and receiving revised landcover feature data that modifies the landcover feature data.

Abstract: Methods and systems for extracting and reviewing landcover feature data are provided. An example method involves accessing geospatial imagery covering a geographic area and landcover feature data extracted from the geospatial imagery, subdividing the geospatial imagery into a grid of image tiles, assigning landcover feature data review technicians to review the image tiles and associated landcover feature data through a landcover feature data review platform, and receiving revised landcover feature data that modifies the landcover feature data.

Abstract: Methods and systems for generating geometric models of buildings with from multiview imagery are provided. An example method involves establishing a three-dimensional coordinate space for the multiview imagery, displaying, through an annotation platform, first and second images of the multiview imagery depicting the building from different points of view, providing, through the annotation platform, functionality for a user to provide user input comprising instructions that annotate the first and second images with at least two adjacent building sections of the building having roofs at different heights, and reconstructing, based on the user input received through the annotation platform, a geometric model comprising at least the two adjacent building sections.

Abstract: Methods and systems for enhancing elevation models with landcover feature data are provided. An example method involves accessing imagery covering an area of interest that contains an above-ground feature, generating, a digital surface model of the area of interest, extracting three-dimensional landcover feature data representing the above-ground feature that contains one or more actual ground-level points at the base of the above-ground feature, and generating a digital terrain model from the digital surface model at least in part by removing the above-ground feature from the digital surface model and filling at least some of the removed area with one or more of the actual ground-level points from the three-dimensional landcover feature data.

Abstract: Methods and systems for determining the height of structures based on imagery of the structures and associated two-dimensional vector data are provided. An example method involves projecting two-dimensional vector data outlining a roof of a structure into images of the structure captured from different perspectives and feature matching the vector data across the imagery to determine a best-matching three-dimensional position for the roof situated at the height of the structure.

Abstract: Methods and systems for generating geometric models of buildings with from multiview imagery are provided. An example method involves establishing a three-dimensional coordinate space for the multiview imagery, displaying, through an annotation platform, first and second images of the multiview imagery depicting the building from different points of view, providing, through the annotation platform, functionality for a user to provide user input comprising instructions that annotate the first and second images with at least two adjacent building sections of the building having roofs at different heights, and reconstructing, based on the user input received through the annotation platform, a geometric model comprising at least the two adjacent building sections.

Abstract: Methods and systems for extracting and reviewing landcover feature data are provided. An example method involves accessing geospatial imagery covering a geographic area and landcover feature data extracted from the geospatial imagery, subdividing the geospatial imagery into a grid of image tiles, assigning landcover feature data review technicians to review the image tiles and associated landcover feature data through a landcover feature data review platform, and receiving revised landcover feature data that modifies the landcover feature data.

Abstract: Methods and systems for enhancing elevation models with landcover feature data are provided. An example method involves accessing imagery covering an area of interest that contains an above-ground feature, generating, a digital surface model of the area of interest, extracting three-dimensional landcover feature data representing the above-ground feature that contains one or more actual ground-level points at the base of the above-ground feature, and generating a digital terrain model from the digital surface model at least in part by removing the above-ground feature from the digital surface model and filling at least some of the removed area with one or more of the actual ground-level points from the three-dimensional landcover feature data.

Abstract: Methods and systems for generating geometric models of buildings with complex roof geometry from multiview imagery are provided. An example method involves establishing a three-dimensional coordinate space for the multiview imagery, and displaying, through an annotation platform, first and second images of the multiview imagery depicting the pitched roof from different points of view. The method further involves receiving, through the annotation platform, user input annotating the first and second images with a plurality of roof elements defining a three-dimensional structure of the pitched roof, and reconstructing, based on the user input received through the annotation platform, a geometric model representing the three-dimensional structure of the pitched roof situated in the three-dimensional coordinate space.

Abstract: Methods and systems for generating artificial parcel data are provided. An example method involves accessing geospatial imagery depicting one or more buildings and surrounding areas, applying a machine learning model to the geospatial imagery to generate artificial parcel data in a form of a distance-transform raster map that represents a legal land parcel for each of the one or more buildings, and converting the distance-transform raster map into a vector map containing one or more polygons that represent the boundaries of each of the legal land parcels.