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

This remote sensing image dataset includes orthomosaics and Spartina alterniflora spatial data, derived from drone-based RGB photos over Zhangjiang Estuary, Fujian Province from 2013 to 2022. The drone photos were collected via automatic flight planning mainly during daytime low-tide periods. Based on the structure-from-motion three-dimension reconstruction technique, for each campaign the drone photos can be mosaiced into a digital orthophoto map, which is then used for extracting the spatial distribution of Spartina alterniflora.        The dataset contains 2 folders including 10 orthomosaics and 10 Spartina alterniflora data, respectively. The file sizes are 1.7GB and 10.7MB for the orthomosaics and Spartina alterniflora data, respectively. All the data are in TIF format, and you can use GIS or remote sensing softwares like ArcGIS and ENVI to open them. The orthomosaics are named as "date-DOM" or the datasets with network RTK positioning service are named as "date-DOM-RTK". For example, the orthmosaic in June, 2022 is named as "202206-DOM-RTK.tif". Spartina alterniflora datasets are named "date-classified". The resolution of all data is 20 cm and the coordinate system is WGS84/UTM zone 50N. The drones used are different for these flights, and there is a slight deviation in positioning accuracy.

本遥感影像数据集包含正射影像镶嵌图（orthomosaics）与互花米草（Spartina alterniflora）空间数据，其源数据为2013至2022年间于福建省漳江河口采集的无人机载RGB航拍影像。影像采集采用自动飞行规划方案，主要于日间低潮时段进行。基于运动恢复结构三维重建技术（structure-from-motion three-dimension reconstruction），每次航拍任务采集的无人机影像均可拼接生成数字正射影像图（digital orthophoto map），随后以此为基础提取互花米草的空间分布信息。
本数据集共设2个存储文件夹，分别包含10幅正射影像镶嵌图与10份互花米草空间数据。两类数据的文件大小分别为1.7GB与10.7MB，全部采用TIF格式，可通过地理信息系统（Geographic Information System，GIS）及ArcGIS、ENVI等遥感专业软件打开浏览。
正射影像镶嵌图的命名格式为"date-DOM"，若为采用网络RTK定位服务的数据集，则命名为"date-DOM-RTK"。例如2022年6月的正射影像镶嵌图命名为"202206-DOM-RTK.tif"。互花米草数据集的命名格式为"date-classified"。
所有数据的空间分辨率均为20厘米，坐标系采用WGS84/UTM 50N分带。本次航拍任务使用了多款不同型号的无人机，因此各数据集的定位精度存在小幅偏差。