Vicmap Vegetation Tree Extent REST API

Vicmap Vegetation Tree Extent was derived from a machine learning output. The dataset was created by assigning each pixel in the aerial photography into two classes: tree or not tree. The data was created using a machine learning method called semantic segmentation. In semantic segmentation, the machine learning model is trained on aerial images, learning from a corresponding raster mask that indicates which pixels represent trees.

Vicmap植被树木覆盖范围（Vicmap Vegetation Tree Extent）源自机器学习生成的结果。该数据集通过将航空摄影影像中的每个像素划分为两类——树木与非树木——构建而成。其构建采用了名为语义分割（semantic segmentation）的机器学习方法。在语义分割任务中，机器学习模型以航空影像为训练数据，并通过对应的栅格掩码（raster mask）完成学习，该掩码用于标记代表树木的像素。