High-Resolution Imagery and Terrain Model for Collaborative Research of Environmental Change at Barrow, Alaska

该项目将创建和发布三套空间数据产品。第一种是高分辨率正校正雷达图像（ORRI，网格间距为1.25 m）和共同配准的高分辨率数字高程模型（DEM，网格间距为5 m，垂直精度为1 m）。第二套是通过AeroMap美国公司购买的卫星图像，特别是正校正全色（0.7米网格单元）和多光谱（2.8米网格单元）图像，由DigitalGlobe公司通过新的QuickBird卫星获得。第三是一组时间序列的正校正航空照片马赛克。处理后，DEM和图像将通过ARCSS数据协调中心提供给所有nsf资助的研究人员。在阿拉斯加巴罗附近，包括巴罗环境观测站（BEO），目前有超过35个国家科学基金会资助的研究项目。这些多学科和跨学科的研究主要针对环境敏感性和气候变化的局部到全球影响。许多项目通过遥感和地理信息系统（GIS）利用定量空间分析。其他国家将利用高分辨率空间数据集，如果它们可用的话。在一个项目接一个项目的基础上，研究小组对他们自己的、小的、不相连的野外区域的空间数据进行零碎的工作。由于地图投影、数据、数据格式、范围和分布渠道的差异，共享数据集是困难的。这项新活动将为研究界提供高分辨率的数据和图像，从而在众多学科中产生切实的科学效益，提高当前和未来研究的效率和意义。将受益的正在进行的项目包括对生态系统动力学、陆地大气温室气体通量、景观动力学、沿海洪水和侵蚀、永久冻土融化、对前所未有的北极变暖的其他环境反应以及其他主题的研究。这些与环境和社会相关的科学问题可以通过使用数字地形和图像以新的方式解决，并取得更大的成功。在数量级上，空间数据集将比现有的数据层更加精确、准确和有用。它们将允许在未来几年进行最先进的分析，并将为几十年的变化检测研究建立一个时间基线。来自8个研究机构的12位合作者分享了这一愿景。由于对高质量空间信息的共同需求，现在的适度努力将利用结果并促进跨学科合作。

This projects will create and release of three suites of spatial data products. The first is high-resolution, orthorectified radar imagery (ORRI, with 1.25 m grid cell spacing) and a co-registered, high-resolution Digital Elevation Model (DEM; 5 m grid cell spacing; 1 m vertical accuracy). The second suite is satellite imagery purchased through AeroMap U.S., specifically orthorectified panchromatic (0.7 m grid cells) and multispectral (2.8 m grid cells) imagery acquired by DigitalGlobe with the new QuickBird satellite. Third is a time-series set of orthorectified air-photo mosaics. After processing, the DEM and imagery would be made available to all NSF-funded researchers through the ARCSS Data Coordination Center.In the vicinity of Barrow, Alaska including the Barrow Environmental Observatory (BEO) there are more than 35 currently funded NSF research projects. These multi- and interdisciplinary studies primarily address local to global effects of environmental sensitivity and climate change. Many of the projects utilize quantitative spatial analysis through remote sensing and Geographic Information Systems (GIS). Others would utilize high-resolution spatial datasets if they were available. On a project by project basis, research groups work piecemeal with spatial data for their own, small, disconnected field areas. Sharing datasets is difficult due to differences in map projection, datum, data format, extent, and distribution channels. This new activity will provide the research community high-resolution data and images resulting in tangible scientific benefits across numerous disciplines, increasing the efficiency and significance of current and future research. On-going projects that would benefit are research on ecosystem dynamics, terrestrial-atmospheric fluxes of greenhouse gases, landscape dynamics, coastal flooding and erosion, permafrost melting, other environmental responses to unprecedented arctic warming, and other topics. These environmentally and societally relevant scientific problems can be addressed in new ways and with greater success using digital topography and imagery. By orders of magnitude, the spatial datasets would be more precise, accurate, and useful than existing data layers. They would permit state-of-the-art analysis for years to come, and would establish a temporal baseline for decades of change-detection studies. This vision is shared by this proposal's twelve collaborators from eight research institutions. With shared needs for high quality spatial information, a modest effort now would leverage results and promote interdisciplinary collaboration.