Invention Grant
- Patent Title: Method and system for crop type identification using satellite observation and weather data
-
Application No.: US15395613Application Date: 2016-12-30
-
Publication No.: US10586105B2Publication Date: 2020-03-10
- Inventor: Marcus O. Freitag , Hendrik F. Hamann , Levente Klein , Siyuan Lu
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Vazken Alexanian
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; A01G22/00 ; G06N20/00 ; G06T7/00

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.
Public/Granted literature
- US20180189564A1 METHOD AND SYSTEM FOR CROP TYPE IDENTIFICATION USING SATELLITE OBSERVATION AND WEATHER DATA Public/Granted day:2018-07-05
Information query