US 2020/0050826 A1Published application

Ponding water detection on satellite imagery

AssigneeClimate LLC

InventorsWei GUAN, Pramithus KHADKA

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Abstract

A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland. A class for each pixel is then determined that maximizes the joint probability over the graph.

Claims20

Dependent claims

A method comprising:

a computer system receiving image data of a field comprising a plurality of pixels, precipitation data for the plurality of pixels of the image data of the field indicating one or more amounts of rainfall over one or more regions of the field, elevation data indicating one or more elevations over the one or more regions of the field, and soil property data indicating one or more properties of soil found across the one or more regions of the field;
the computer system running a flow simulation over the plurality of pixels of the image data of the field to identify, using regions of a plurality of regions which still contain water, a set of pixels within the image data that are likely to have ponding water after rainfall;
for each pixel, from the set of pixels within the plurality of pixels:
estimating, using a classifier trained to estimate probabilities that pixels represent ponding water, a probability that a pixel from the set of pixels represents water;
assigning the probability to the pixel;
determining, based on the probability assigned to the pixel and particular precipitation data, from the precipitation data, assigned to the pixel, a class, from one or more classes, to indicate the probability that the pixel represents ponding water after the rainfall;
generating one or more alerts corresponding to the one or more classes determined for the set of pixels.

4 more elements

A non-transitory computer-readable storage medium storing one or more instructions which, when executed by one or more processors, cause the one or more processors to perform steps comprising:

receiving image data of a field comprising a plurality of pixels, precipitation data for the plurality of pixels of the image data of the field indicating one or more amounts of rainfall over one or more regions of the field, elevation data indicating one or more elevations over the one or more regions of the field, and soil property data indicating one or more properties of soil found across the one or more regions of the field;
running a flow simulation over the plurality of pixels of the image data of the field to identify, using regions of a plurality of regions which still contain water, a set of pixels within the image data that are likely to have ponding water after rainfall;
for each pixel, from the set of pixels within the plurality of pixels:
estimating, using a classifier trained to estimate probabilities that pixels represent ponding water, a probability that a pixel from the set of pixels represents water;
assigning the probability to the pixel;
determining, based on the probability assigned to the pixel and particular precipitation data, from the precipitation data, assigned to the pixel, a class, from one or more classes, to indicate the probability that the pixel represents ponding water after the rainfall;
generating one or more alerts corresponding to the one or more classes determined for the set of pixels.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/596,364Filed 8 Oct 2019
Priority: 21 Sep 2015
Published: 13 Feb 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06V 20/188
Terrestrial scenes: vegetation
A01G 7/00
Botany in general
G06T 3/06
Geometric image transformations in the plane of the image: topological mapping of higher dimensional structures onto lower dimensional surfaces
G06T 7/00
Image analysis

Family

Application14/860,247Continuation · filed 21 Sep 2015
Application16/038,006Continuation · filed 17 Jul 2018
Application16/596,364Continuation
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US 2017/0083747 A1Published application
US 2019/0019008 A1Published application
US 2020/0050826 A1This patent

From the US filing history. Foreign family members aren’t listed.