2013-2022年福建漳江口互花米草分布无人机遥感数据集

A dataset of the UAV remote sensing spatial distribution of Spartina alterniflora in the Zhangjiang Estuary of Fujian Province from 2013 to 2022

外来植物互花米草(Spartina alterniflora)入侵中国滨海湿地,威胁着生物多样性和生态系统功能,监测互花米草的时空分布对滨海湿地保护修复与科学管理具有重要意义。本数据集由无人机正射影像和互花米草空间分布数据组成。采用无人机搭载可见光相机,选择白天低潮时段,获取福建漳江口湿地2013–2022年期间的航拍影像,然后利用动态结构摄影三维重构技术将采集的航拍影像拼接成覆盖研究区的数字正射影像,每年一景,共十景,并基于正射影像的分类数据提取出连续十年的互花米草空间分布数据。本数据集的无人机影像质量满足要求,不存在漏拍情况,影像色彩均衡。研究区位于漳江口红树林国家级自然保护区,主要分布着乡土红树植物、互花米草等滨海湿地植被,是我国典型的红树林-盐沼交错区。作为红树林-盐沼交错区的长时序(连续十年)高分辨率(20 cm)无人机遥感数据集,本数据集在滨海湿地植被演替、红树林保护修复、互花米草入侵等研究领域具有应用价值。

The invasion of exotic Spartina alterniflora into Chinese coastal wetlands poses a threat to biodiversity and ecosystem functions.Thus monitoring the spatio-temporal distribution of the invasion is important for the conservation/restoration and scientific management of coastal wetlands.This dataset includes S.alterniflora spatial data,derived from UAV-based RGB photos over Zhangjiang Estuary,Fujian Province from 2013 to 2022.Using a drone equipped with a visible light camera,we selected low-tide periods during the day,we captured the aerial images in the Zhangjiang Estuary wetland in Fujian Province from 2013 to 2022.Subsequently,we employed the dynamic structure-from-motion(SFM)techniques to reconstruct a three-dimensional model by mosaicking the collected aerial images to obtain a digital orthophoto image covering the study area.This process was repeated annually,resulting in a total of ten orthophoto images.Based on the classified data derived from these orthophoto images,the spatial distribution data of S.alterniflora over ten consecutive years were extracted.The high-quality UAV photos in this dataset are comprehensive and uniformly color-balanced.Located within the Zhangjiang Estuary Mangrove National Nature Reserve with coastal wetland vegetations such as mangroves and S.alterniflora,the study area is one of the most typical mangrove-S.alterniflora ecotones in China.This long-term(over ten consecutive years)and high-resolution(20 cm)image dataset for mangrove-S.alterniflora ecotone can be used in many studies including monitoring coastal wetland vegetation succession,mangrove conservation and restoration,and S.alterniflora invasion.