中国地理科学 ›› 2019, Vol. 20 ›› Issue (3): 394-404.doi: 10.1007/s11769-019-1040-4

• 论文 • 上一篇    下一篇

Cloud Data and Computing Services Allow Regional Environmental Assessment: A Case Study of Macquarie-Castlereagh Basin, Australia

WU Hantian1, ZHANG Lu2, ZHANG Xin3   

  1. 1. Fenner School of Environment and Society, Australia National University, Canberra 0200, Australia;
    2. Land and Water, The Com-monwealth Scientific and Industrial Research Organization, Black Mountain Site, Canberra 2601, Australia;
    3. Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100094, China
  • 收稿日期:2018-01-29 出版日期:2019-06-27 发布日期:2019-05-06
  • 通讯作者: WU Hantian. E-mail:Hantian.wu@alumni.anu.edu.au E-mail:Hantian.wu@alumni.anu.edu.au
  • 基金资助:

    Under the auspices of National Key Research and Development Program of China (No. 2016YFA0600304)

Cloud Data and Computing Services Allow Regional Environmental Assessment: A Case Study of Macquarie-Castlereagh Basin, Australia

WU Hantian1, ZHANG Lu2, ZHANG Xin3   

  1. 1. Fenner School of Environment and Society, Australia National University, Canberra 0200, Australia;
    2. Land and Water, The Com-monwealth Scientific and Industrial Research Organization, Black Mountain Site, Canberra 2601, Australia;
    3. Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100094, China
  • Received:2018-01-29 Online:2019-06-27 Published:2019-05-06
  • Contact: WU Hantian. E-mail:Hantian.wu@alumni.anu.edu.au E-mail:Hantian.wu@alumni.anu.edu.au
  • Supported by:

    Under the auspices of National Key Research and Development Program of China (No. 2016YFA0600304)

摘要:

Large amounts of data at various temporal and spatial scales require terabyte (TB) level storage and computation, both of which are not easy for researchers to access. Cloud data and computing services provide another solution to store, process, share and explore environmental data with low costs, stronger computation capacity and easy access. The purpose of this paper is to examine the benefits and challenges of using freely available satellite data products from Australian Geoscience DataCube and Google Earth Engine (GEE) online data with time series for integrative environmental analysis of the Macquarie-Castlereagh Basin in the last 15 years as a case study. Results revealed that the cloud platform simplifies the procedure of traditional catalog data processing and analysis. The integrated analysis based on the cloud computing and traditional methods represents a great potential as a low-cost, efficient and user-friendly method for global and regional environmental study. The user can save considerable time and cost on data integration. The research shows that there is an excellent promise in performing regional environmental analysis by using a cloud platform. The incoming challenge of the cloud platform is that not all kinds of data are available on the cloud platform. How data are integrated into a single platform while protecting or recognizing the data property, or how one portal can be used to explore data archived on different platforms represent considerable challenges.

关键词: regional environment assessment, cloud platform, Google Earth Engine (GEE), land use, Macquarie-Castlereagh catchment

Abstract:

Large amounts of data at various temporal and spatial scales require terabyte (TB) level storage and computation, both of which are not easy for researchers to access. Cloud data and computing services provide another solution to store, process, share and explore environmental data with low costs, stronger computation capacity and easy access. The purpose of this paper is to examine the benefits and challenges of using freely available satellite data products from Australian Geoscience DataCube and Google Earth Engine (GEE) online data with time series for integrative environmental analysis of the Macquarie-Castlereagh Basin in the last 15 years as a case study. Results revealed that the cloud platform simplifies the procedure of traditional catalog data processing and analysis. The integrated analysis based on the cloud computing and traditional methods represents a great potential as a low-cost, efficient and user-friendly method for global and regional environmental study. The user can save considerable time and cost on data integration. The research shows that there is an excellent promise in performing regional environmental analysis by using a cloud platform. The incoming challenge of the cloud platform is that not all kinds of data are available on the cloud platform. How data are integrated into a single platform while protecting or recognizing the data property, or how one portal can be used to explore data archived on different platforms represent considerable challenges.

Key words: regional environment assessment, cloud platform, Google Earth Engine (GEE), land use, Macquarie-Castlereagh catchment