Landscape Change Imagery: preparing a DLESE-ready and easily searchable resource

景观变化图像：准备 DLESE 就绪且易于搜索的资源

• 批准号: 0533141
• 负责人: Paul Bierman
• 金额: $ 2.45万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0533141&HistoricalAwards=false
• 关键词: Landscape; Change; Imagery; preparing; DLESE

Landscape images are a powerful tool for doing and teaching Earth surface science because they provide a personal and human-scale linkage to geologic processes and the geography of place and time. However, in order for such imagery to be useful, it must be easily findable by those who wish to use it both in and out of the classroom. this proposal provides support targeted directly toward increasing the ability of scientists and educators to find landscape imagery for use in both formal and informal science education as well as scientific research. The work builds directly on the education, research, and outreach success of the Landscape Change Program (uvm.edu/perkins/landscape), a 10,000+ image web-based archive that has been developed over the past 6 years with NSF support The work will prepare the existing image archive for inclusion in the Digital Library for Earth System Education (DLESE) as a collection as well as to create, test, and refine finding aids for the Landscape Change Program archive itself. This project builds on work done with imagery over the past six years that has catalyzed both formal and informal science education from K-12, to college, graduate school, and beyond. Specifically, this work will support the standardization of metadata and image descriptions in the database so that the information can be harvested for inclusion as a collection in DLESE. The work will improve the ability of users to find any one of the 10,000+ images within the Landscape Change Program archive by redesigning the current search page and by annotating images in such a way that Goggle-type web crawlers, and thus image and text searches, are more likely to find individual images.

景观图像是研究和教授地球表面科学的有力工具，因为它们为地质过程和地点和时间的地理提供了个人和人类尺度的联系。然而，为了使这些图像有用，它必须很容易被那些希望在课堂内外使用它的人找到。该提案提供了直接支持，旨在提高科学家和教育工作者在正式和非正式科学教育以及科学研究中寻找景观图像的能力。这项工作直接建立在景观变化计划（uvm.edu/perkins/landscape）的教育、研究和推广成功的基础上，这是一个在过去6年里在美国国家科学基金会的支持下开发的10,000多张基于网络的图像档案。这项工作将准备现有的图像档案，以便将其作为一个集合纳入地球系统教育数字图书馆（DLESE），并为景观变化计划档案本身创建、测试和完善查找辅助工具。这个项目建立在过去六年中用图像完成的工作的基础上，这些工作催化了从K-12到大学、研究生院以及其他地方的正式和非正式科学教育。具体地说，这项工作将支持数据库中元数据和图像描述的标准化，以便可以收集信息并将其作为DLESE的集合包含。这项工作将通过重新设计当前的搜索页面和以这样一种方式对图像进行注释，从而提高用户在景观变化计划档案中找到10,000多张图像中的任何一张的能力，即谷歌式的网络爬虫，因此图像和文本搜索，更有可能找到单个图像。