A Multidiscipline Remote Sensing Laboratory

多学科遥感实验室

• 批准号: 9751241
• 负责人: Yin Soong
• 金额: $ 1.92万
• 依托单位: Millersville University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 2000-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9751241&HistoricalAwards=false
• 关键词: Multidiscipline; Remote; Sensing; Laboratory

A state-of-the-art remote-sensing laboratory for geosciences includes comprehensive software packages and six Windows NT-networked computers and enables students to analyze different types of remotely sensed data and apply them to their respective disciplines. The IMAGINE software from ERDAS (Atlanta, Georgia) is used to process multispectral raster-type data, and the IDL/ENVI package from Research Systems (Boulder, Colorado) is used to process non-raster-type data. A shareware called BILKO is used in introductory courses for students to gain some fundamental knowledge in remote sensing. This laboratory is a major expansion of the old single-user image processor that has been used for the past 10 years. Specific course exercises are planned to utilize satellite data from GOES, Landsat, SPOT, NOM, Nimbus, TOPEX/Poseidon, Synthetic Aperture Radar data from space shuttle missions, and digitized images of aerial photographs. Not only can the archived data sets on magnetic tapes be used effectively in this laboratory, but also students can, through Internet connection, access existing and future remote-sensing data at NASA laboratories. It is anticipated that more spaceborne sensors may be put into orbit, such as that in NASA's Mission to Earth (Earth Observing System) project. This laboratory greatly enhances the learning process in the regularly offered remote-sensing course for students in meteorology, geology, oceanography, geography, and biology. Faculty of other science courses who may not have used remote-sensing data before can also use this laboratory after taking a workshop that is part of this project. The hands-on experience of digital image analysis on workstations also brings a very desirable strength to the technical background of the university's future geoscientists. *

最先进的地球科学遥感实验室包括综合软件包和六台 Windows NT 联网计算机，使学生能够分析不同类型的遥感数据并将其应用于各自的学科。 ERDAS（佐治亚州亚特兰大）的 IMAGINE 软件用于处理多光谱栅格类型数据，Research Systems（科罗拉多州博尔德）的 IDL/ENVI 软件包用于处理非栅格类型数据。 入门课程中使用名为 BILKO 的共享软件，让学生获得一些遥感基础知识。 该实验室是对过去 10 年使用的旧单用户图像处理器的重大扩展。 具体的课程练习计划利用来自 GOES、Landsat、SPOT、NOM、Nimbus、TOPEX/Poseidon 的卫星数据、来自航天飞机任务的合成孔径雷达数据以及航空照片的数字化图像。 不仅可以在该实验室中有效地使用磁带上的存档数据集，而且学生还可以通过互联网连接访问NASA实验室现有和未来的遥感数据。 预计更多的星载传感器可能会被送入轨道，例如美国宇航局的地球任务（地球观测系统）项目中的传感器。 该实验室极大地增强了气象学、地质学、海洋学、地理学和生物学学生定期开设的遥感课程的学习过程。 以前可能没有使用过遥感数据的其他科学课程的教师也可以在参加本项目一部分的研讨会后使用该实验室。 工作站数字图像分析的实践经验也为该大学未来地球科学家的技术背景带来了非常理想的优势。 *