Disclosed herein are systems, media, and methods for identifying and assessing topographical features such as vegetation density and surface water using satellite data, comprising: a digital processing device; a database of digital maps, each indicative of grazing area(s); and a computer program to create an application comprising: a software module receiving a first set of satellite data indicative of a first topographical feature of the land; a software module calculating a normalized index array of the first topographic feature for the time period using the first set of satellite data; a software module generating a custom map indicative of density of the first topographical feature; a software module combining the custom map with one of the digital maps to generate a combined map indicative of the density of the first topographical feature within the grazing areas; and a software module allowing a user to visualize or print the combined map.

A system for preparing a mission from a digital mapping, includes a mission editor generating mission elements that can change over the course of several determined temporal phases, including on a network a mission server, a mapping server, a server for sharing at least one centre of the map and a plurality of augmented reality headsets, at least one of the augmented reality headsets, called master headset, being able to generate at least one command for modifying the centre, each headset being able to receive at least two sets of elevation and terrain tiles from the mapping server, the mission server interfacing with the headsets to share and update the mission elements and to change them over time.

Methods, systems, and computer programs are presented for a flood-recovery analysis tool. One method includes operations for accessing weather information for a geographical region divided into cells and for generating runoff data based on the weather information. The runoff data includes a predicted amount of free-running water on a surface of each cell of the region. Further, the method includes operations for generating a prediction of inflow and outflow of water between cells, and for calculating, for a plurality of sub-cells of each cell in the geographical region, a predicted water depth in each sub-cell based on the prediction of the inflow and outflow between cells and a hydraulic model. Additionally, the method includes operations for generating a flood inundation map showing the predicted water depth at each sub-cell in the geographical region, and for causing presentation of the flood inundation map in a user interface of a display device.

A data processing apparatus is provided, which includes processing circuitry. The processing circuitry is configured to acquire a data set from target detected by a detection apparatus, perform rendering of the data set, and generate a plurality of views arranged on a screen. Each view of the plurality of views includes a plurality of pixels. Each pixel included in the plurality of views is associated with a plurality of pieces of information including a first information displayed on the screen and a second information that indicates a view among the plurality of views to which the pixel belongs.

An augmented reality device may communicate with a map server via an API interface to provide mapping data that may be implemented into a canonical map, and may also receive map data from the map server. A visualization of map quality, including quality indicators for multiple cells of the environment, may be provided to the user as an overlay to the current real-world environment seen through the AR device. These visualizations may include, for example, a map quality minimap and/or a map quality overlay. The visualizations provide guidance to the user that allows more efficient updates to the map, thereby improving map quality and localization of users into the map.

A map generation device that detects a pre-specified target object based on image information obtained by imaging from each of a plurality of vehicles; estimates position information that is an absolute position of the detected target object, the position information being estimated based on a relative position of the detected target object and each vehicle imaging the image information in which the target object is detected, and position information that is an absolute position of each vehicle at a time of imaging the target object; and integrates matching target objects included in a plurality of estimated target objects, the matching target objects being integrated based on the position information of the respective target objects and the image information of the images in which the respective target objects are included, and a number and positions of the target objects being specified.

A data processing apparatus is provided, which includes processing circuitry. The processing circuitry is configured to acquire a data set from target detected by a detection apparatus, perform rendering of the data set, and generate a plurality of views arranged on a screen. Each view of the plurality of views includes a plurality of pixels. Each pixel included in the plurality of views is associated with a plurality of pieces of information including a first information displayed on the screen and a second information that indicates a view among the plurality of views to which the pixel belongs.

Systems and methods for reducing latency on a collaborative platform are provided. The collaborative platform involves a display, a moderator device, one or more member devices, and a receiver in communication with the display, the moderator device, and the one or more member devices. To reduce latency of the collaborative platform, the receiver generates an overlay image based on user input received from the display, as well as user type of the user input, generates an overlaid image based on the overlay image, and transmits the overlaid image for display, while a collaboration application generates new real image(s) based on the user input for display. The overlaid image generated may be indicative of actual user input as well as predicted user input using extrapolation and/or machine learning.

A travel road determination apparatus includes a vehicle position acquisition unit and a travel road determination unit. The vehicle position acquisition unit acquires position information of a vehicle. In first determination processing, the travel road determination unit determines whether or not the vehicle that is determined to be traveling on a first-type road based on first position information of the vehicle has started traveling on a second-type road, based on second position information of the vehicle and first map data. In second determination processing, the travel road determination unit determines whether or not the vehicle that is determined to be traveling on the second-type road based on third position information of the vehicle has started traveling on the first-type road, based on fourth position information of the vehicle and the second map data.

A computer-implemented method including receiving a first representation of a geographical polygon defining a parcel of land, which first representation includes latitude and longitude coordinates that represent at least the corners of the geographical polygon; based on the first representation, determining various features of the geographical polygon; and preparing a second representation of the geographical polygon, which second representation includes the geometric centre of geographical polygon, first two alphanumeric characters, second two alphanumeric characters, a fifth alphanumeric character, and a sixth alphanumeric character.