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US 12,725,411 B2Granted
Method for quantifying the extent and recurrence of natural events
AssigneeLuxembourg Institute of Science and Technology (List)
InventorsRenaud Hostache, Marco Chini, Patrick Matgen, Marina Zingaro
Life of this patent
Estimating the term…
Abstract
A method for quantifying the extent and recurrence of a predetermined natural event, such as a flooding event, in a geographical area, in particular in spite of the absence of reliable data from sensors on the ground where the natural event develops. The method relies on remote sensing data, such as satellite imagery, and data processing, and reaps the benefits of computational models based on accurate remote sensing of the area under consideration.
Claims12
A computer-implemented method for obtaining measurement data indicative of an extent and recurrence of a predetermined natural event in a geographical area, the method comprising the steps of:
- providing, in a first memory element, a first probability data set associated with a plurality of locations in said geographical area, indicating probabilities of each of the plurality of locations being affected by said predetermined event based on remote sensing data, comprising:
- obtaining remote sensing data representing said geographical area;
- using image processing means, detecting representations of said predetermined natural event in said remote sensing data;
- and
- associating a probability of detection of a representation of said predetermined natural event to the locations represented by said remote sensing data;
- providing, in a second memory element, a plurality of second probability data sets associated with the plurality of locations, wherein each of the second probability data sets is further associated with a recurrence period or frequency of said predetermined natural event, and wherein each of the plurality of second probability data sets indicates probabilities of each of the plurality of locations being affected at a corresponding recurrence by said predetermined event based on computer simulation results;
- using computing means, computing for each of said plurality of locations a set of weights, wherein each of the weights indicates a similarity between the probability associated with said location in the first probability data set, and in one of the second probability data sets, respectively;
- using computing means, computing, for each of said locations and using the corresponding set of weights, a weighted combination of the probability data associated with the location in each of said second probability data sets, a weighted combination of the corresponding recurrence periods or frequencies, and storing results in a third memory element, thereby generating data indicative of the extent and recurrence of said predetermined natural event for each of the plurality of locations in said geographical area;
- and
- combining, using image processing means, the remote sensing data for each location in said geographical area with the generated data indicative of the extent and recurrence of said predetermined natural event for each location in said geographical area, to generate a map.
7 more elements
A non-transitory computer readable storage medium storing instructions that when executed by a computer, which includes a data processing means performs a method, the method comprising:
- providing, in a first memory element, a first probability data set associated with a plurality of locations in said geographical area, indicating probabilities of each location being affected by said predetermined event based on remote sensing data, comprising:
- obtaining remote sensing data representing said geographical area;
- using image processing means, detecting representations of said predetermined natural event in said remote sensing data;
- and
- associating a probability of detection of a representation of said predetermined natural event to the locations represented by said remote sensing data;
- providing, in a second memory element, a plurality of second probability data sets associated with the plurality of locations, wherein each of the second probability data sets is further associated with a recurrence period or frequency of said predetermined natural event, and wherein each of the plurality of second probability data sets indicates probabilities of each of the plurality of locations being affected at a corresponding recurrence by said predetermined event based on computer simulation results;
- computing for each of said plurality of locations a set of weights, wherein each of the weights indicates a similarity between the probability associated with said location in the first probability data set, and in one of the second probability data sets, respectively;
- computing, for each of said locations and using the corresponding set of weights, a weighted combination of the probability data associated with the location in each of said second probability data sets, a weighted combination of the corresponding recurrence periods or frequencies, and storing the results in a third memory element, thereby generating data indicative of the extent and recurrence of said predetermined natural event for each location in said geographical area;
- and
- combining, using image processing means, the remote sensing data for each location in said geographical area with the generated data indicative of the extent and recurrence of said predetermined natural event for each location in said geographical area, to generate a map.
7 more elements
Dependencies are inferred from the claim text.