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RSC:基于仿生鹰眼的拉鲁湿地实时监测数据集(2023-至今)

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国家青藏高原科学数据中心2025-01-15 更新2024-04-26 收录
下载链接:
https://data.tpdc.ac.cn/zh-hans/data/f72c8e6f-f796-4f3c-bd29-a794d0783f3b
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资源简介:
仿生鹰眼技术是以可动仿生眼系统为基础,通过多焦段相机的像素级拼接,实现生物鹰眼的宽视距大范围的视觉能力,进一步实现由远及近的多维目标清晰观测。仿生鹰眼设备可360°连续旋转,搭载有可见光摄像机、红外热像仪等设备,高清图像监测像素数大于10亿。本设备架设于西藏自治区拉萨市拉鲁湿地国家级自然保护区,用于对湿地围栏监测、鸟类多样性、植被季节性返青变化等进行远距离大范围实时监测,并为园区火灾等进行预警。本数据集由中国科学院青藏高原研究所青藏高原地球系统与资源环境重点实验室区域可持续发展与重大工程支撑中心(RSC)发布,包括拉鲁湿地广角、中焦、远焦和热红外四通道图像监测数据,可为湿地生态环境保护、区域可持续发展等提供重要的数据支撑。

Bionic Eagle Eye Technology is rooted in a movable bionic eye system, which replicates the wide field-of-view and large-scale visual capacity of a biological eagle's eye via pixel-level stitching of multi-focal-length cameras, and further enables clear, multi-dimensional target observation across distances from far to near. The bionic eagle eye device supports 360° continuous rotation, and is integrated with visible light cameras, infrared thermal imagers and other monitoring facilities, with its high-definition image monitoring pixel count exceeding 1 billion. Installed at the Lalu Wetland National Nature Reserve in Lhasa, Tibet Autonomous Region, this device conducts long-distance, large-scale real-time monitoring of wetland fence conditions, bird diversity, seasonal green-up changes of vegetation and other ecological indicators, and provides early warnings for wildfires and other emergencies within the reserve. This dataset is released by the Regional Sustainable Development and Major Engineering Support Center (RSC), Key Laboratory of Tibetan Plateau Earth System and Resources Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences. It contains four-channel image monitoring data of the Lalu Wetland, including wide-angle, medium-focal-length, long-focal-length and thermal infrared datasets, and can provide critical data support for wetland ecological environment protection, regional sustainable development and other relevant research directions.
提供机构:
聂晓伟,潘小多,杨洋,李虎
创建时间:
2023-10-17
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是基于仿生鹰眼技术的拉鲁湿地实时监测数据,包含四通道图像监测数据,时间覆盖2023年至今,空间分辨率10m-100m,数据量524.09 GB,由中国科学院青藏高原研究所发布,用于湿地生态环境保护和区域可持续发展研究。
以上内容由遇见数据集搜集并总结生成
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