Classification of crop types in central California from 2005 - 2020

This dataset is support materials for the publication "Crop type classification, trends, and patterns of central California agricultural fields from 2005 – 2020". This data release is comprised of two child datasets. The first dataset, 'Labeled_CropType_Points', is a shapefile that consists of randomly selected point locations in which crop types were verified using high resolution imagery for each examined year across the study period (2005 - 2020). The second dataset, 'Central_CA_Classified_Croplands', is also a shapefile, but contains polygons of 9 classified crop types derived from a random forest machine learning classifier for central California for each examined year across the study period (2005 - 2020).

本数据集为论文《2005-2020年加利福尼亚中部农田作物类型分类、趋势与格局》的配套支撑材料。本次数据发布包含两个子数据集。第一个子数据集名为Labeled_CropType_Points，为形状文件（shapefile），包含研究周期（2005-2020年）内各考察年份中，经高分辨率影像验证作物类型的随机选取点位置。第二个子数据集名为Central_CA_Classified_Croplands，同样为形状文件，包含研究周期（2005-2020年）内各考察年份中，针对加利福尼亚中部区域，通过随机森林机器学习分类器提取的9类已分类作物类型的多边形矢量数据。