摘要
通过对主流云计算平台技术的深入研究和思考,针对滑坡灾害监测数据量大、数据类型多这一特点,设计了基于GPS及InSAR数据的滑坡监测云平台;并以甘肃黑方台滑坡为例,使用ArcGIS对该滑坡进行了风险评估和分析。Hadoop技术的应用明显提高了滑坡监测中海量数据存储和处理的效率,为云计算技术在灾害监测方面的进一步应用进行了有益的探索。
In this paper, based on the deep research and thinking of the mainstream cloud computing platform technology, a landslide monitoring cloud platform using GPS and InSAR data is designed in view of the large amount and multiple data types of landslide disaster monitoring data. Taking the heifangtai landslide in Gansu province as an example, the risk assessment and analysis of the landslide are also conducted using ArcGIS. Due to the use of Hadoop technology, the platform can significantly improve the efficiency of massive data storage and processing in landslide monitoring, and make beneficial exploration for the further application of cloud computing technology in disaster monitoring.
作者
王毅鹏
张永志
赵超英
刘晓杰
张颖云
WANG Yipeng;ZHANG Yongzhi;ZHAO Chaoying;LIU Xiaojie;ZHANG Yingyun(School of Geological Engineering and Geomatics,Chang'an University,Xi'an 710054,China)
出处
《测绘通报》
CSCD
北大核心
2019年第8期106-110,共5页
Bulletin of Surveying and Mapping
基金
国家自然科学基金(41374028
40674001)
