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Chinese Geographical Science - Call for Papers: Data-model coupling for integrated remote sensing cloud monitoring of land, water and air ecosystems

Introduction
Integrated monitoring of ecological environment on land, water and air is of great significance for environmental protection, economic development, resource utilization and ecological disaster prevention and mitigation in the process of global ecological restoration. The application of cloud computing technology coupled with big data and ecological models to the study of ecosystem processes and their changing rules is expected to realize the efficient monitoring and accurate early warning of the global land, water and air ecosystems, and to promote the development of cloud computing ecology as an emerging cross-discipline.

Against this background, this new Special Issue from Chinese Geographical Science, ‘Data-model coupling for integrated remote sensing cloud monitoring of land, water and air ecosystems’ focuses on latest progress in remote sensing cloud computing for assessing global ecosystem monitoring on land, water and air. Therefore, this Special Issue is open to anyone conducting research in the field. Potential topics include, but are not limited to, the following areas:

  • Integrated design of multi-modal ecosystem process models.
  • Ecosystem service calculation based on remote sensing cloud computing.
  • Intelligent monitoring and information mining based on data-knowledge coupling for sea-land-air integration.
  • Ecological environment monitoring and intelligent early warning demonstration.
  • Mapping of urban areas and infrastructure changes.
  • Ecosystem monitoring, assessment and response to climate change.
  • Project review, progress and outlook of remote sensing cloud computing.
  • GIS spatial analysis under the remote sensing cloud platform.
  • Ecosystem services trade-offs/synergy studies.
  • Global ecosystem service key cluster identification and zoning control.

Sponsors

ZENG Hongwei, Aerospace Information Research Institute, Chinese Academy of Sciences.

XU Dong, National University of Singapore.

XU Nan, College of Geography and Remote Sensing at Hohai University.

Mattheos Santamouris, High Performance Architecture Research Center of the University of New South Wales in Australia.

About the Sponsors

zheng

ZENG Hongwei

Homepage: http://people.ucas.ac.cn/~zenghongwei

Associate Professor of Aerospace Information Research Institute, Chinese Academy of Sciences. Specially-appointed research professor, Chinese Academy of Sciences. He has long been engaged in the research of advanced remote sensing monitoring methods for agriculture and the remote sensing monitoring and assessment of basin water resources.

xu

XU Dong

PhD candidate in the Department of Geography at the National University of Singapore and a specially appointed research professor at the Academician Workstation of Mingguo ZHAI. His current research focuses on the remote sensing of ecological environments.

nan

XU Nan

Homepage: https://www.researchgate.net/profile/Nan-Xu-35

Associate Professor at the College of Geography and Remote Sensing at Hohai University. His current research focuses on remote sensing of coastal zones and water resources.

Mattheos

Mattheos Santamouris

Homepage: https://www.unsw.edu.au/staff/mattheos-santamouris

Professor at the High Performance Architecture Research Center of the University of New South Wales in Australia. His current research focuses on urban heat island.

Important dates

Manuscript Submission Deadline: December 31, 2024

Estimated publication time: Published online once accepted.

Submission URL: http://egeoscien.neigae.ac.cn

Please select Data-model coupling for integrated remote sensing cloud monitoring of land, water and air ecosystems as the article type on submission


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