Abstract: The present disclosure relates to a computer implemented method for use in building a transport network map. The method includes accessing a plurality of co-registered satellite images covering a transport network part and identifying, by a computing device, an object in the plurality of co-registered satellite images, based on known visual characteristics specific to the object. The method also includes identifying, by the computing device, a transport route from the plurality of co-registered satellite images, where the transport route includes the transport network part. The method then further includes determining, by the computing device, the transport network part based on time difference(s) between ones of the plurality of co-registered images including the object along the identified transport route.

Abstract: The present disclosure relates to a computer implemented method (100) for attribution of Land Use/Land Cover, LULC, said method comprising the steps of: providing (S1) a plurality of images covering a transport network part, identifying (S2) objects in at least a subset of said plurality of images, identifying (S4) transport routes at least in said at least one satellite image of the plurality of images, and determining (S5) characteristics of said transport network part based on the identified objects at said identified (S4) transport routes.

Abstract: Forestry timber volume estimations may be provided. In a three-dimensional Digital Surface Model (DSM), a plurality of image data associated with a respective plurality of trees may be identified. Then, from the plurality of image data, species data associated with each of the plurality of trees may be determined. A height above ground may then be determined for each of the plurality of trees by subtracting a height of ground associated with each of the plurality of trees determined from a three-dimensional Digital Terrain Model (DTM) from a height of tree associated with each of the plurality of trees determined from the three-dimensional DSM. A volume associated with each of the plurality of trees may be determined based on the height of tree associated with each of the plurality of trees and the species data associated with each of the plurality of trees.

Abstract: The present disclosure relates to a computer implemented method (100) for attribution of Land Use/Land Cover, LULC, said method comprising the steps of: providing (S1) a plurality of images covering a transport network part, identifying (S2) objects in at least a subset of said plurality of images, identifying (S4) transport routes at least in said at least one satellite image of the plurality of images, and determining (S5) characteristics of said transport network part based on the identified objects at said identified (S4) transport routes.

Abstract: A method for resolution enhancement of images is described comprising the steps of providing (101) at least a first two dimensional (2D) test image, providing (102) a high-resolution 3D map, providing (103) a Machine Learning Network (MLN), extracting (104), from the high-resolution 3D map, a 2D submap, comprising geocoded 2D coordinate data and texture information, extracting (105) a 2D subimage from the 2D test image, which 2D subimage is an image of the same area as the 2D submap, and training the MLN, using the high-resolution 2D submap and the 2D subimage.

Abstract: A method for resolution enhancement of images is described comprising the steps of providing (101) at least a first two dimensional (2D) test image, providing (102) a high-resolution 3D map, providing (103) a Machine Learning Network (MLN), extracting (104), from the high-resolution 3D map, a 2D submap, comprising geocoded 2D coordinate data and texture information, extracting (105) a 2D subimage from the 2D test image, which 2D subimage is an image of the same area as the 2D submap, and training the MLN, using the high-resolution 2D submap and the 2D subimage.