摘要
传统的卫星影像覆盖率获取方法大多是在相关平台搜索和查询对应的遥感影像,再通过影像快视图查看整体的覆盖情况,操作过程较复杂,且无法获取精确的覆盖率值。鉴于此,提出了一种基于数据访问API的影像覆盖率查询方法,只需提供相关必要参数,即可快速查询所需遥感影像及其对应的覆盖率。首先利用遥感数据访问API,根据查询参数查询所需遥感影像的元数据;然后通过相关方法对影像元数据进行一系列的地理处理与分析,进而获取卫星影像的覆盖率值;最后以我国省级行政区划高分辨率卫星影像覆盖率查询与监测为应用案例进行了实验分析。结果表明,通过该方法可实时查询和监测目标区域精确的卫星影像覆盖率值,比传统方法更快捷、方便。
The traditional method for obtaining satellite image coverage is mostly to search and query the corresponding remote sensing images on the relevant platform at first,then check the overall coverage through the image quick view.The operation process of this method is more complicated,and cannot get an accurate coverage.To solve this problem,we proposed a method for querying image coverage based on data access API.Only by providing relevant necessary parameters,we can quickly query the required remote sensing images and the corresponding coverage.Firstly,we used the remote sensing data access API to query the required remote sensing image metadata according to the query parameters.Then,we performed a series of geographical processing and analysis on the image metadata through related methods to obtain the satellite image coverage.Finally,we conducted an experimental analysis of the application case of high-resolution satellite image coverage query and monitoring of provincial administrative divisions in our country.The result shows that this method can query and monitor the accurate satellite image coverage of target area in real time,which is faster and more convenient than traditional methods.
出处
《地理空间信息》
2021年第11期112-116,135,I0008,共7页
Geospatial Information
基金
国家自然科学基金资助项目(42004001)
大地测量与地球动力学国家重点实验室开放基金资助项目(SKLGED2020-4-2-E)。
关键词
API
卫星遥感影像
覆盖率查询与监测
API
satellite remote sensing image
query and monitoring of coverage
