Abstract: Disclosed is a system for monitoring a power line. The system includes a ground unit and one or more airborne measurement devices for measuring distances between the power line and objects spatially located in proximities of the power line. Each of the one or more airborne measurement devices includes a computing hardware, one or more cameras for capturing images and a data memory for storing pattern-recognition software. The pattern-recognition software is executed on the computing hardware to process the images to identify a unique identifier attached to the ground unit. Each of the one or more airborne measurement devices maintains a line-of-sight with the ground unit during flight by tracking with computer vision the unique identifier attached to the ground unit.

Abstract: Disclosed is a system for monitoring a power line. The system includes a ground unit and one or more airborne measurement devices for measuring distances between the power line and objects spatially located in proximities of the power line. Each of the one or more airborne measurement devices includes a computing hardware, one or more cameras for capturing images and a data memory for storing a pattern-recognition software that. The pattern-recognition software that is executed on the computing hardware to process the images to identify a unique identifier attached to the ground unit. The each of the one or more airborne measurement devices maintains a line-of-sight with the ground unit during flight by tracking with computer vision the unique identifier attached to the ground unit.

Abstract: Disclosed is a system for updating probability data of target object property. The system comprises a database for storing probability data, a property object data of a first target object, a property object data of a second target object, a list of actions and a cost of actions. The system also includes a processor having an executable code configured to define a first probability of accuracy of a property object data of a first target object, define a second probability of the first target object having a negative effect on a second target object, calculate a combined probability from the first probability and the second probability and use the combined probability to select to which at least one of the target objects to allocate resources, and update the first probability and the second probability in the database based on the action performed with the allocated resource.

Abstract: Disclosed is a system for reporting changes to a network in case of an event. The system includes a survey unit adapted to be located at a site of the network using data from a positioning sensor of the survey unit. The survey unit is configured to request from a control unit an augmented view related to the location of the site of the network and displays the augmented view in a display of the survey unit on top of a current view of the site. The survey unit is adapted to capture a photograph on the display and to communicate the photograph to the control unit. The control unit is configured to determine changes in the network by comparing the current view as shown in the photograph with the augmented view, and to create an event report including a catalog of the changes to the network.

Abstract: Disclosed is a system for reserving at least one work order using a mobile device with a map view. The system includes a receiving module, a processing module and a verification module. The receiving module is adapted to receive a request from the mobile device, the request satisfying at least one pre-defined criterion. The processing module is adapted to process the request satisfying the at least one pre-defined criterion by filtering a second set of work orders from a first set of work orders and enable the reservation of each selected work order from the second set of work orders for a pre-defined time period. The verification module is adapted to verify inspection of each site pertaining to the reserved work orders.

Abstract: The method is for forest inventory and for determination of stand attributes. Stand information of trees, sample plots, stands and larger forest areas can be determined by measuring or deriving the most important attributes for individual trees. The method uses a laser scanner and overlapping images. A densification of the laser point clouds is performed and the achieved denser point clouds are used to identify individual trees and groups of trees. A computer program is used for performing the method.

Abstract: The invention is concerned with a method for forest inventory and for determination of stand attributes. Stand information of trees, sample plots, stands and larger forest areas can be determined by measuring or deriving the most important attributes for individual trees. The method uses a laser scanner and overlapping images. A densification of the laser point clouds is performed and the achieved denser point clouds are used to identify individual trees and groups of trees. The invention is also concerned with a computer program for performing the method.

Abstract: The present invention relates to a method of determining the growth of trees based on first and second measurement data obtained at different moments of time by utilizing a laser scanner located above the measured trees. In order to determine the growth of a large number of trees as fast and as easy as possible, said method comprises: processing said first measurement data in order to determine the location of tree locations (A), processing said second measurement data in order to determine the location of tree locations (B), determining the locations which are tree locations according to the results of both said first and second processing (C), and calculating the growth of trees at said determined locations by determining the difference in the size indicated by the second measurement data as compared to the size indicated by said first measurement data (D).

Abstract: The present invention relates to a method of determining the growth of trees based on first and second measurement data obtained at different moments of time by utilizing a laser scanner located above the measured trees. In order to determine the growth of a large number of trees as fast and as easy as possible, said method comprises: processing said first measurement data in order to determine the location of tree locations (A), processing said second measurement data in order to determine the location of tree locations (B), determining the locations which are tree locations according to the results of both said first and second processing (C), and calculating the growth of trees at said determined locations by determining the difference in the size indicated by the second measurement data as compared to the size indicated by said first measurement data (D).

Abstract: The invention relates to a method for the determination of stand attributes with an instrument above the stand. In the method, three-dimensional information is collected from the stands by using such a number of sample hits, that individual trees or groups of trees can be distinguished. A three-dimensional tree height model is produced from collected information. Stand attributes—which are characteristics of individual trees or groups of trees and/or characteristics derived using these information for larger areas—are determined from the tree height model. The invention also relates to a computer program which can be used to carry out the second and third step of the method.