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METHOD AND SYSTEM FOR CROP TYPE IDENTIFICATION USING SATELLITE OBSERVATION AND WEATHER DATA

机译:利用卫星观测和天气数据识别作物类型的方法和系统

摘要

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.
机译:一种使用卫星观测和天气数据识别作物类型的计算机实现方法。该方法包括从目标区域的卫星图像的像素中提取当前和历史数据,基于天气数据生成植被指数的时间序列,将时间序列的每个时间戳转换为与实际作物生长相关的修改后的时间变量,进行训练一个分类器,使用一组针对修改后的时间变量的植被指数的历史时间序列作为训练特征,并使用相应的历史上已知的作物类型作为训练标签,并使用经过训练的分类器和相对于当前作物季节的修改后的时间变量的植被指数的历史时间序列,并通过汇总与作物类型相关的识别像素来估算作物面积值。

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