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

阿拉斯加巴罗环境变化合作研究的高分辨率图像和地形模型

• 批准号: 0224071
• 负责人: William Manley
• 金额: $ 22.18万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-12-01 至 2006-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0224071&HistoricalAwards=false
• 关键词: Resolution; Imagery; Terrain; Model; Collaborative

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.

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射校正雷达图像（ORRI，网格单元间距为1.25米）和一个共同配准的高分辨率数字高程模型（DEM;网格单元间距为5米;垂直精度为1米）。第二套是通过美国航空地图公司购买的卫星图像，特别是经正射校正的全色（0.7米网格单元）和多光谱（2.8米网格单元）图像，这些图像是由DigitalGlobe公司利用新的QuickBird卫星获得的。 第三个是一个时间序列的正射纠正航空照片马赛克集。 经过处理后，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。在阿拉斯加的巴罗附近，包括巴罗环境观测站（BEO），目前有超过35个NSF资助的研究项目。 这些多学科和跨学科的研究主要解决环境敏感性和气候变化对当地和全球的影响。许多项目通过遥感和地理信息系统利用定量空间分析。 其他国家将利用现有的高分辨率空间数据集。 在一个项目接一个项目的基础上，研究小组为他们自己的、小的、不相连的领域使用空间数据。由于地图投影、基准面、数据格式、范围和分发渠道的差异，共享数据集很困难。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。正在进行的项目将受益于生态系统动力学，温室气体的陆地-大气通量，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和其他主题的研究。这些与环境和社会有关的科学问题可以用新的方式加以解决，并利用数字地形和图像取得更大的成功。 从数量级来看，空间数据集将比现有数据层更精确、更准确、更有用。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。这一愿景得到了来自8个研究机构的12位合作者的认同。由于对高质量空间信息的共同需求，现在只要作出适度努力，就可以利用成果并促进跨学科合作。