Method and system for crop type identification using satellite observation and weather data
US10586105B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2016 |
| Grant date | Mar 10, 2020 |
| Priority date | — |
| Expiry date | Dec 20, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/68
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.