five

Flinders Commonwealth Marine Reserve (GA0337)

收藏
Research Data Australia2024-12-29 收录
下载链接:
https://researchdata.edu.au/flinders-commonwealth-marine-reserve-ga0337/3433386
下载链接
链接失效反馈
官方服务:
资源简介:
This resource contains multibeam bathymetry data for the continental shelf area of Flinders Commonwealth Marine Reserve, northeast Tasmania. Multibeam data were collected by Geoscience Australia and University of Tasmania during the period of 24 June - 07 July 2012 onboard the RV Challenger using a Kongsberg EM3002 multibeam sonar. The Flinders Marine Reserve survey was led by Dr. Scott Nichol (Geoscience Australia). The survey was conducted to broadly classify the seabed into hard (bedrock reef), soft (sedimentary) and mixed substrate types at select locations across the shelf. The dataset contains a 2m-resolution, 32-bit floating point GeoTIFF file of the bathymetry in the study area derived from the processed EM3002 bathymetry data, using Caris HIPS and SIPS software.Attribution statement: Data was sourced from the NERP Marine Biodiversity Hub. The Marine Biodiversity Hub is supported through funding from the Australian Government's National Environmental Research Program (NERP), administered by the Department of Sustainability, Environment, Water, Population and Communities (DSEWPAC).This dataset is not to be used for navigational purposes.This dataset is published with the permission of the CEO, Geoscience Australia.

本数据集包含塔斯马尼亚州东北部弗林德斯联邦海洋保护区大陆架区域的多波束水深数据。本次多波束数据由澳大利亚地质科学局(Geoscience Australia)与塔斯马尼亚大学,于2012年6月24日至7月7日期间搭乘“挑战者号”(RV Challenger)科考船,采用Kongsberg EM3002型多波束声呐采集完成。弗林德斯海洋保护区本次勘测由斯科特·尼科尔博士(澳大利亚地质科学局)牵头实施,旨在对大陆架范围内选定区域的海底基质进行宽泛分类,将其划分为硬质(基岩礁)、软质(沉积型)与混合型三类。本数据集包含基于经处理后的EM3002多波束水深数据,通过Caris HIPS与SIPS软件生成的研究区水深文件,该文件为分辨率2米的32位浮点型GeoTIFF格式。致谢声明:本数据源自NERP海洋生物多样性中心。该中心由澳大利亚政府国家环境研究计划(National Environmental Research Program,NERP)资助,由可持续发展、环境、水利、人口与社区部(DSEWPAC)负责管理。本数据集不得用于导航用途。本数据集经澳大利亚地质科学局首席执行官许可后发布。
提供机构:
Geoscience Australia
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作