论文标题
云技术是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
论文作者
论文摘要
本文专门针对地球遥感(ERS),作者认为这是一种教授地理并允许对实际地理特征和现象形成构想的好方法。现在限制在教育过程中积极引入遥感数据的主要问题之一是训练航空航天图片的可用性低,满足了教学要求。本文分析了ERS的主要来源,作为使用航空航天图像形成教育资源的基础:纸张,各种个人来源(个人站(接收卫星信息,无人机,气球,风筝和球)以及互联网来源(主流站点,主流地点,科学技术组织的地点,科学技术组织的站点,科学技术组织和分销商的互联网地理位置,互动互联网地理位置,云层平台,云平台分析)。作者指出,由于其独特的功能,他们的地理空间分析平台(Google Earth Engine,Land Wiewer,EOS平台等)是创建ERS信息主题数据库的基础。本文介绍了这样一个数据库的示例,涵盖了800多个航空航天图像和动态模型,这些模型是根据诸如高信息负载和清晰度之类的教学原理组合在一起的。
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.