Collaborative Proposal: EarthCube RCN: Connecting the Earth Science and Cyberinfrastructure communities to advance the analysis of high resolution topography data

这个地球立方体研究协调网络(RCN)将把创建和使用高分辨率地图数据的社区聚集在一起，包括那些对地球表面过程进行研究的社区，以及那些创造了使这些类型的复杂数据可用的技术的社区。该网络的成员将努力分享目前可用的资源和最佳做法，并开发新的工具，使研究人员更容易获得数据。培训的重点将是教授研究生和职业生涯初期的研究人员获取和使用高分辨率地图数据来回答地球科学研究问题。收集了大量的高分辨率地形(HRT)数据，应用范围从科学研究到商业领域的工程。由于与这些数据的存储、操作、处理和分析相关的挑战，这些HRT数据的充分科学利用仍然有限。包括计算机视觉、计算机科学、信息学和相关工程领域在内的网络基础设施社区正在开发先进的工具，用于可视化、编目和分类包括点云在内的图像数据。然而，这些工具中的许多都最适用于工程结构和小型数据集，而不适用于异质景观。地球科学界和网络基础设施界有机会共同测试和验证在挑战地貌(例如，异质和多尺度地貌、植被结构、城市足迹)方面的新工具。该区域协调中心将特别注重四个主题：(1)协调整个地球表面过程和水文界的HRT数据分析，以确定数据分析的工作流程和最佳做法；(2)随着HRT数据采集新技术的出现，确定网络基础设施工具的开发需求；(3)利用HRT数据进行数值模型验证，并将HRT数据信息整合到模型中；(4)关于HRT最佳做法以及数据处理和分析工作流程的培训。

This EarthCube Research Coordination Network (RCN) will bring together communities that create and use high resolution map data, including those that conduct research on earth surface processes and those that create the technology to make these types of complex data usable. Members of this network will work to share currently available resources and best practices, and to develop new tools to make data more available to researchers. Training will focus on teaching graduate student and early career researchers to access and use high resolution map data to answer earth science research questions. Vast quantities of High Resolution Terrain (HRT) data have been collected, with applications ranging from scientific research to commercial sector engineering. Full scientific utilization of these HRT data is still limited due to challenges associated with the storage, manipulation, processing, and analysis of these data. The cyberinfrastructure community, including computer vision, computer science, informatics, and related engineering fields are developing advanced tools for visualizing, cataloging, and classifying imagery data including point clouds. Yet, many of these tools are most applicable to engineered structures and small datasets, and not to heterogeneous landscapes. Together the earth science and cyberinfrastructure communities have the opportunity to test and validate emerging tools in challenging landscapes (e.g., heterogeneous and multiscale landforms, vegetation structures, urban footprints). In particular, this RCN will be focused on four themes: (1) coordination of the analysis of HRT data across the earth surface processes and hydrology communities to identify work-flows and best practices for data analysis; (2) identification of cyberinfrastructure tool development needs as new technologies for HRT data acquisition emerge; (3) use of HRT data for numerical models validation and integration of HRT data information in models; (4) training in HRT best practices, and data processing and analysis work-flows.