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High resolution drone imagery and supporting underwater photos of coral reefs in Moʻorea

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Zenodo2025-09-19 更新2026-05-26 收录
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Summary The data in this Box folder (linked below) represent drone imagery captured of the Northern Lagoons of the island of Moʻorea from April 17-25, 2023, as well as underwater photos of the Northern Lagoons region. Methods In-water photos were collected using a Sony a6700 with a 16-50mm lens. This camera has an APS-C sensor at 24.2 megapixels and the photos were captured in JPG extra-fine format. The camera was housed in a Ikelite underwater housing connected to floating platform via a camera hot shoe adapter and 15-inch cable. All electronics were housed in a pelican case that contained an Emlid Reach M2 multi-band GNSS module. Every time the snorkeler triggered the shutter, a coordinate position was marked that was later PPK-corrected using a base station file from an Emlid Reach RS2+ GNN receiver. All geotag coordinates attained a ‘fix" solution that indicates the rover has successfully resolved integer ambiguities, resulting in centimeter-level accuracy. Drone imagery was collected at 70m flying height (1cm pixel) with a mean shutter speed of 1/2500 using a WingtraOne Gen I platform with a Sony RX1R II full frame camera with CMOS sensor at 42.2 megapixels. JPG photos were PPK-corrected using a base station file from an Emlid Reach RS2+ GNN receiver to survey-grade fixed solution. Adobe Lightroom was used to spectrally boost the colors in each photo before being uploaded and processed into orthomosaics using the cloud-based DroneDeploy photogrammetry engine resulting in an average RMSE of +/- 15cm. Terms of Use The Nature Conservancy (TNC) collected these data. TNC makes no guarantee of accuracy or completeness. Data are for informational purposes and are not suitable for legal, engineering, or surveying purposes. TNC is not obligated to update/maintain the data to reflect changing conditions. Commercial use is not allowed. Sharing the data (sublicensing) is not allowed. Users must obtain a direct license by downloading the data themselves. TNC should be credited as the data source in derivative works. Users are advised to pay attention to the contents of this metadata document. Read TNC’s full, legal, Standard Terms of Use for Geospatial Data (no sublicensing) here. Datasets As of this release, the specific files included in the Box folders are: Mo'orea Underwater Photos - Public = in-water photos of coral reef collected in the Northern Lagoons region. Folder names refer to the name of the coral reef captured in the imagery. Mo’orea Coral Reef Drone Orthomosaics - Public = drone imagery of coral reefs in the Northern Lagoons region that has been georeferenced, color-corrected, and mosaicked. File names refer to the name of the coral reef captured in the imagery. Acknowledgements Coral Gardeners (https://coralgardeners.org/) Community members who helped to prioritize sites

## 数据集摘要 本Box文件夹(链接见下文)包含2023年4月17日至25日拍摄的莫雷阿岛(Moʻorea)北潟湖无人机影像,以及该区域的水下摄影照片。 ## 数据采集方法 ### 水下摄影 水下照片采用搭载16-50mm镜头的索尼(Sony)a6700相机拍摄,该相机配备2420万像素APS-C画幅传感器,照片以JPG超精细格式存储。相机安装于Ikelite水下防水壳中,并通过相机热靴适配器与15英寸线缆连接至浮动平台。所有电子设备收纳于派力肯(Pelican)安全箱内,箱内搭载Emlid Reach M2多波段全球导航卫星系统(GNSS)模块。每当浮潜者按下快门时,系统会记录当前坐标位置,后续通过Emlid Reach RS2+ GNSS接收机生成的基准站文件,采用后处理运动学(PPK)校正方法对坐标进行解算。所有地理标记坐标均获得固定解(fix solution),表明流动站接收机已成功解算整周模糊度,最终坐标精度可达厘米级。 ### 无人机影像采集 无人机影像采用WingtraOne Gen I飞行平台搭载索尼(Sony)RX1R II全画幅CMOS相机拍摄,飞行高度为70米,像素分辨率为1厘米,平均快门速度为1/2500秒,相机配备4220万像素传感器。影像通过Emlid Reach RS2+ GNSS接收机生成的基准站文件进行PPK校正,获得测绘级固定解。后续使用Adobe Lightroom对每张照片进行色彩光谱增强,再通过云端DroneDeploy摄影测量引擎处理生成正射影像镶嵌图,整体平均均方根误差(RMSE)为±15厘米。 ## 使用条款 本数据集由大自然保护协会(The Nature Conservancy, TNC)采集。TNC不对数据的准确性与完整性作出任何保证,数据仅用于信息参考,不适用于法律、工程或测绘用途。TNC无义务更新或维护数据以反映环境变化。禁止商业使用,禁止数据分享(转授权)。用户需自行下载数据以获取直接使用许可。在衍生作品中需注明TNC为数据集来源。请用户仔细阅读本元数据文档,并可点击此处查看TNC发布的完整地理空间数据标准使用条款(禁止转授权)。 ## 数据集内容 截至本版本发布,Box文件夹包含以下数据集: 1. **莫雷阿岛水下摄影数据集(公开版)**:北潟湖区域珊瑚礁水下摄影照片,文件夹名称对应影像中拍摄的珊瑚礁名称。 2. **莫雷阿岛珊瑚礁无人机正射影像镶嵌数据集(公开版)**:北潟湖区域珊瑚礁无人机影像,经地理配准、色彩校正与镶嵌拼接处理,文件名对应影像中拍摄的珊瑚礁名称。 ## 致谢 - 珊瑚园丁计划(Coral Gardeners, https://coralgardeners.org/) - 协助筛选优先研究区域的社区成员

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2025-09-19
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