Developing a Remote Sensing/GIS Information System

清华大学复杂系统研究中心 新罕布什尔州将获得必要的计算机设备， 创建统一的遥感/地理参考计算机 从区域到全球尺度的生态系统建模工作站。 的 工作站将加强研究所的现有设施， 研究地球，海洋和空间在大学。 新 全球生态系统研究和景观的研究倡议 改进的空间生态需求数学模型 分辨率和具有地理参考特征的数据。 远程 传感系统和地理信息系统提供了 获得必要数据的可能性。 然而这些 组件仍然只是一个潜在的 集成系统。这个项目将把这些碎片结合在一起 一个高效的遥感地理参考模型 系统 计算机工作站将具有以下功能： B）矢量地理信息系统，c）遥感和图像 处理，d）点数据管理，e）阵列处理，f）大型 数据库管理（例如，窗口）g）图形，h）数据捕获 和分析，以及i）数学建模。 支持和 该机构的设施是一流的，因为是主要的 一群科学家将利用这些设施。 研究表明，该设施能够增强意志 在基层具有根本的重要性。此外，本发明还 全球性的考虑因素，如气候变化、生物 多样性和酸性沉淀将是解决的 新功能。 生态系统研究强烈推荐一个奖项 程序.

The Complex Systems Research Center of the University of New Hampshire will acquire the computer equipment necessary to create a unified remote sensing/georeferenced computer workstation for regional to global scale ecosystem modeling. The workstation will enhance existing facilities in the Institute for the Study of Earth, Oceans and Space at the university. New research initiatives in global ecosystem studies and landscape ecology demand mathematical models with improved spatial resolution and data with georeferenced characteristics. Remote sensing systems and Geographic Information Systems offer the possibility for obtaining the necessary data. Yet, these components remain only discrete unrelated pieces of a potentially integrated system. This project will bring these pieces together into a highly effective remote sensing georeferenced modeling system. The computer workstation will have capabilities for: a) grid and raster GIS, b) vector GIS, c) remote sensing and image processing, d) point data management, e) array process, f) large database management (eg. windowing) g) graphics, h) data capture and analysis, and i) mathematical modeling. Support and facilities at the institution are excellent as is the primary group of scientists who will make use of the facilities. The research that the facility is capable of enhancing will be of fundamental importance at a basic level. Additionally, global considerations such as climate change, biological diversity and acid precipitation will be addressable by the newcapabilities. An award is strongly recommended by the Ecosystem Studies Program.