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

景观图像是进行和教授地球表面科学的有力工具，因为它们提供了与地质过程和地理位置和时间的个人和人类规模的联系。然而，为了使这种图像是有用的，它必须很容易找到那些谁希望使用它在课堂内外。 该提案提供的支持直接针对提高科学家和教育工作者的能力，以发现景观图像用于正式和非正式的科学教育以及科学研究。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，该计划是一个基于网络的10，000多幅图像档案，在过去6年中在NSF的支持下开发的 这项工作将准备现有的图像档案，以纳入地球系统教育数字图书馆（DLESE）作为一个集合，以及创建，测试和完善查找辅助景观变化计划档案本身。该项目建立在过去六年中使用图像所做的工作的基础上，这些工作促进了从K-12到大学，研究生院等的正式和非正式科学教育。具体而言，这项工作将支持数据库中元数据和图像描述的标准化，以便收集信息，作为DLESE的一个集合。 这项工作将通过重新设计当前的搜索页面和注释图像来提高用户在Landscape Change Program档案中找到10，000多张图像中任何一张的能力，以便Goggle类型的网络爬虫以及图像和文本搜索更有可能找到单个图像。

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.