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arXiv 2007.10774cs.CY
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云技术作为创建地球遥感教育资源的工具

Cloud technologies as a tool of creating Earth Remote Sensing educational resources

Ihor Kholoshyn, Olga Bondarenko, Olena Hanchuk, Iryna Varfolomyeyeva

摘要:

本文致力于地球遥感(ERS),作者认为这是一个伟大的方式来教地理,并允许形成一个想法的实际地理特征和现象。目前制约在教育过程中积极采用遥感数据的一个主要问题是,满足教学要求的航空航天培训图片很少。文章分析了作为利用航空航天图像形成教育资源基础的ERS的主要来源:纸张、各种个人来源(接收卫星信息的个人站、无人驾驶飞机、气球、风筝和球)和互联网来源(主流网站、科学技术组织和分销商网站、交互式互联网地理服务、地理空间分析云平台)。作者指出,他们的地理空间分析平台(谷歌地球引擎,土地查看器,EOS平台等),由于其独特的特点,是建立地球资源卫星信息专题数据库的基础。文章介绍了这样一个数据库的一个例子,其中包括800多个航空航天图像和动态模型,这些数据库是根据高信息量和清晰度等教学原则组合起来的。

英文摘要:

This article is dedicated to the Earth Remote Sensing (ERS), which the authors believe is a great way to teach geography and allows forming an idea of the actual geographic features and phenomena. One of the major problems that now constrains the active introduction of remote sensing data in the educational process is the low availability of training aerospace pictures, which meet didactic requirements. The article analyzes the main sources of ERS as a basis for educational resources formation with aerospace images: paper, various individual sources (personal stations receiving satellite information, drones, balloons, kites and balls) and Internet sources (mainstream sites, sites of scientific-technical organizations and distributors, interactive Internet geoservices, cloud platforms of geospatial analysis). The authors point out that their geospatial analysis platforms (Google Earth Engine, Land Viewer, EOS Platform, etc.), due to their unique features, are the basis for the creation of information thematic databases of ERS. The article presents an example of such a database, covering more than 800 aerospace images and dynamic models, which are combined according to such didactic principles as high information load and clarity.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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