Abstract: Methods and systems are disclosed for automatically determining solar access values, including a method including calculating a ray between a sun position and a structure vertex at a plurality of time periods; comparing a path of the ray to location of points in object point cloud data representative of the size, shape, and location of one or more objects to determine that the object(s) blocks the ray from reaching the vertex, resulting in a shadow over the vertex for at least one of the time periods; determining effects of the shadow over the vertex on the maximum possible irradiance values based on a determined distance and whether the vertex is within an umbra, penumbra, or antumbra of the shadow at at least one of the time periods; and determining irradiance in Watts per time period over the plurality of time periods in which the shadow is over the vertex.

Abstract: Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.

Abstract: Systems and methods are disclosed, including a non-transitory computer readable medium storing computer executable instructions that when executed by a processor cause the processor to identify a first image, a second image, and a third image, the first image overlapping the second image and the third image, the second image overlapping the third image; determine a first connectivity between the first image and the second image; determine a second connectivity between the first image and the third image; determine a third connectivity between the second image and the third image, the second connectivity being less than the first connectivity, the third connectivity being greater than the second connectivity; assign the first image, the second image, and the third image to a cluster based on the first connectivity and the third connectivity; conduct a bundle adjustment process on the cluster of the first image, the second image, and the third image.

Abstract: Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.

Abstract: Systems and methods are disclosed, including a non-transitory computer readable medium storing computer executable instructions that when executed by a processor cause the processor to identify a first image, a second image, and a third image, the first image overlapping the second image and the third image, the second image overlapping the third image; determine a first connectivity between the first image and the second image; determine a second connectivity between the first image and the third image; determine a third connectivity between the second image and the third image, the second connectivity being less than the first connectivity, the third connectivity being greater than the second connectivity; assign the first image, the second image, and the third image to a cluster based on the first connectivity and the third connectivity; conduct a bundle adjustment process on the cluster of the first image, the second image, and the third image.

Abstract: Systems and methods are disclosed, including a non-transitory computer readable medium storing computer executable instructions that when executed by a processor cause the processor to identify a first image, a second image, and a third image, the first image overlapping the second image and the third image, the second image overlapping the third image; determine a first connectivity between the first image and the second image; determine a second connectivity between the first image and the third image; determine a third connectivity between the second image and the third image, the second connectivity being less than the first connectivity, the third connectivity being greater than the second connectivity; assign the first image, the second image, and the third image to a cluster based on the first connectivity and the third connectivity; conduct a bundle adjustment process on the cluster of the first image, the second image, and the third image.

Abstract: Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.

Abstract: Systems and methods are disclosed, including a non-transitory computer readable medium storing computer executable instructions that when executed by a processor cause the processor to identify a first image, a second image, and a third image, the first image overlapping the second image and the third image, the second image overlapping the third image; determine a first connectivity between the first image and the second image; determine a second connectivity between the first image and the third image; determine a third connectivity between the second image and the third image, the second connectivity being less than the first connectivity, the third connectivity being greater than the second connectivity; assign the first image, the second image, and the third image to a cluster based on the first connectivity and the third connectivity; conduct a bundle adjustment process on the cluster of the first image, the second image, and the third image.

Abstract: Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.