Hainan Province 2023 Rubber Forest Sample Plot Survey Data

Rubber trees are the primary source of natural rubber and are extensively planted in tropical regions. Hainan Province is one of China's main rubber-planting areas. The rubber planting industry is multifunctional and multi-beneficial. It is not only a pillar of Hainan's agriculture but also a significant source of income for farmers. The benefits and impacts of its ecosystem services are substantial. In September 2023, we conducted a survey of 102 rubber forest plots in Hainan Province. We recorded the coordinates of each plot and performed three-dimensional LiDAR scanning and biomass sampling, obtaining three-dimensional point cloud information and biomass data for each plot. After collecting the plot survey data, we used high-resolution Google satellite imagery with a resolution of 0.59m, combined with the Res-Unet deep learning algorithm, to develop a rubber forest recognition model and obtained the distribution of rubber forests in Hainan Province for 2023. Additionally, here is the description of our data folder files:1.The folders 'Classification of Rubber Forest' and 'Figures' contain the results of our identified rubber forest distribution in Hainan Province for 2023 and the distribution of sampling points from the plot survey.2. The folder 'Rubber Forest Sample Plot Survey Data' contains our three-dimensional LiDAR scanning measurements and biomass data of the rubber forest plots.

橡胶树是天然橡胶的主要来源，在热带地区被广泛种植。海南省是中国主要的橡胶种植区域之一。橡胶种植业兼具多功能与多效益属性，既是海南农业的支柱产业，亦是农户收入的重要来源，其生态系统服务的效益与影响极为显著。
2023年9月，我们针对海南省的102个橡胶林样地开展了野外调查，记录了每个样地的空间坐标，并完成了三维激光雷达（LiDAR）扫描与生物量采样工作，获取了每个样地的三维点云信息与生物量实测数据。
在完成样地调查数据的收集后，我们结合分辨率为0.59米的高分辨率谷歌（Google）卫星影像，采用Res-Unet深度学习算法构建了橡胶林识别模型，并得到了2023年海南省橡胶林的空间分布结果。
此外，本数据集的文件夹文件说明如下：
1. 「橡胶林分类（Classification of Rubber Forest）」与「Figures」文件夹包含2023年海南省橡胶林识别分布结果，以及样地调查的采样点分布信息；
2. 「橡胶林样地调查数据」文件夹包含本次研究获取的橡胶林样地三维激光雷达扫描测量数据与生物量实测数据。

搜集汇总

背景与挑战

背景概述

该数据集包含2023年海南省102个橡胶林样地的三维LiDAR扫描和生物量数据，以及通过高分辨率卫星图像和Res-Unet深度学习算法开发的橡胶林识别模型结果。数据涵盖了橡胶林的三维点云信息、生物量数据和分布图，适用于林业管理和环境评估研究。