Abstract

An aerial and/or satellite imagery-based, optical system and corresponding method for measuring physical impacts to land-based objects (3) by impact measurands (1113) in case of an occurrence of a natural catastrophe event (2), the natural catastrophe event (2) impacting the objects (3) causing a physical damage (32). The method and system comprise the steps of capturing by remote airborne and/or spaceborne sensors (121) digital aerial and/or satellite imagery and/or photography (122) of an area (4) affected by the natural catastrophe event (2), and generating a digital natural catastrophe event footprint (1111) with a topographical map (11111) of the natural catastrophe event (2) based on the captured digital satellite imagery (122). Finally, parametrizing, by an adaptive vulnerability curve structure (1112), impact measurands (1113) for selected objects (3) based on the measured topographical map (11111), and generating an impact measurand (1113) value for each of the land-based objects (3) based on an event intensity (23) measured by the natural catastrophe event footprint (1111) using the vulnerability curve structure (1112). In addition, the present invention leverages computer vision/ deep learning/ artificial intelligence on actual post catastrophe satellite and aerial imagery to detect and measure different types and/or damages of damage on properties/ roofs.

IPC Classes  ?

• G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
• G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
• G06Q 40/08 - Insurance
• G06Q 50/16 - Real estate
• G06T 7/90 - Determination of colour characteristics

Abstract

The invention relates to a forecast system (5) and method for automated location dependent natural disaster impact forecast, whereas natural disaster events are measured by located gauging stations (401,..., 422). Location dependent measurement parameters for specific geotectonic, topographic or meteorological conditions associated with the natural disaster are determined and critical values of the measurement parameters are triggered to generate a dedicated event signal (31/32) for forecasted impacts of the disaster event within an area of interest. In particular, the signal generation is based upon the affected population or object within the area of interest.

IPC Classes  ?

• G08B 21/10 - Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes

Abstract

The invention relates to a method for automated location dependent probabilistic tropical cyclone forecast, whereas a plurality of new data records representative of alternative tracks are generated based of historical tracks by means of a fist MonteCarlo-module, wherein points of the new data records are generated from said points along the historical track by a dependent sampling process, whereas a intensity climatology is generated, based upon the intensity data associated with at least some of the plurality of points along the historical tracks located within a certain grid cell, whereas now intensity data are generated by means of a second MonteCarlo- module, wherein the new intensity data are generated from the intensity data associated with at least some of the plurality of points along the historical tracks by a MonteCarlo sampling process, whereas the distribution of the historical tracks are reproduced by a filtering module within the new or accumulated data records, and whereas a wind field of each data record is generated and a probability is assigned by a interpolationmodule to each point in said grid, giving the probability of the occurrence of a specific wind strength at a given geographical location and time.

IPC Classes  ?

• G01W 1/10 - Devices for predicting weather conditions