岭头岛红树林保护小区2023年红树林冠幅数据集

在2023年获取的无人机正射影像基础上，执行了多尺度分割处理，以确定最优分割尺度。基于这一尺度，对研究区域进行了精确分割，并从分割结果中提取了冠幅矢量图层。随后，我们筛选出了最适合红树林分类的算法，并应用该算法对研究区的红树林进行了细致分类。通过这一过程，成功获取了红树林的冠幅数据以及相应的树种信息。

Based on the unmanned aerial vehicle (UAV) orthophotos acquired in 2023, multi-scale segmentation processing was conducted to determine the optimal segmentation scale. Using this scale, the study area was precisely segmented, and the canopy vector layer was extracted from the segmentation results. Subsequently, the algorithm most suitable for mangrove classification was selected and applied to perform detailed classification of mangroves in the study area. Through this workflow, the canopy data and corresponding tree species information of mangroves were successfully obtained.

搜集汇总

背景与挑战

背景概述

该数据集基于2023年无人机正射影像，通过多尺度分割和最优分类算法处理，生成了岭头岛红树林保护小区的红树林冠幅矢量图层及树种信息。数据覆盖广东省湛江市雷州市，采用矢量格式，适用于林学研究，并通过协议共享方式提供。