Topic Editors

School of Artificial Intelligence, Shenzhen Polytechnic, Shenzhen 518055, China
School of Urban Design, Wuhan University, Wuhan 430072, China
MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen 518060, China
Dr. Ivan Lizaga
Isotope Bioscience Laboratory - ISOFYS, Department of Green Chemistry and Technology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
Dr. Zipeng Zhang
College of Geographical and Remote Sciences, Xinjiang University, Urumqi 830017, China

Advances in Multi-Scale Geographic Environmental Monitoring: Theory, Methodology and Applications

Abstract submission deadline
closed (31 July 2024)
Manuscript submission deadline
31 October 2024
Viewed by
35458

Topic Information

Dear Colleagues,

The geographic environment is a complex concept encompassing various natural elements of the Earth's surface and human activities. Natural conditions such as climate, land, and rivers are fundamental to human beings' emergence, survival, and development. Conversely, human activities also significantly impact the geographic environment. The interaction and mutual influence between natural conditions and human activities constitute the geographic environment of the Earth. However, previous research on geographic environment monitoring has often focused on specific objects and spatial and/or temporal scales, making it difficult to comprehensively understand the distinctive characteristics, shifts, and interconnections within the geographic environment. Currently, field surveys, monitoring stations, sensor networks, multisource remote sensing (satellite, airborne, and ground-based), geospatial big data, and especially the development of remote sensing technology and geographic environment monitoring networks enable the observation of multidimensional and multiscale geographic environmental conditions over extended periods, high frequencies, and multiple scales. Through multiscale monitoring, geographic environmental data can be obtained from global to local and macro- to microscales. Integrated data analysis from different scales can lead to a better understanding of the geographic environment's overall characteristics and changing patterns. Diversifying geographic environment monitoring methods has expanded the depth, breadth, and accuracy of geographic process simulation and analysis. Geographic environmental monitoring has a wide range of objects and scientific application scenarios, such as ecosystem services, natural resource distribution, water resource management, climate change research, disaster monitoring, and environmental protection. In summary, research on multiscale geographic environmental elements is of great significance for deepening the understanding of the complexity of the Earth system, predicting environmental changes, supporting sustainable development, and promoting interdisciplinary communication and collaboration. Therefore, this topic aims to collect innovative original manuscripts on the theoretical, methodological, and applied aspects of multiscale geographic environmental monitoring. In addition, review articles and meta-analysis papers on these topics are also welcome.

  • Scale effects of spatial heterogeneity of geographic environmental elements;
  • Spatiotemporal analysis of geographic environmental elements;
  • Theories, technologies, and methods of geographic environmental monitoring;
  • Assessment of ecosystem services;
  • Land surface process simulation;
  • Scale dependence and threshold effects in geographic environmental research;
  • Theories, systems, and methods of geographic environmental evaluation;
  • Fusion and scale conversion of multisource heterogeneous data products;
  • Uncertainty in the monitoring of geographic environmental elements.

Dr. Jingzhe Wang
Dr. Yangyi Wu
Dr. Yinghui Zhang
Dr. Ivan Lizaga
Dr. Zipeng Zhang
Topic Editors

Keywords

  • geographic environmental elements
  • multiscale observation
  • spatiotemporal analysis
  • geographic environmental simulation
  • scale effects
  • uncertainty analysis
  • sustainable development goals

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Climate
climate
3.0 5.5 2013 21.9 Days CHF 1800 Submit
Drones
drones
4.4 5.6 2017 21.7 Days CHF 2600 Submit
Forests
forests
2.4 4.4 2010 16.9 Days CHF 2600 Submit
Land
land
3.2 4.9 2012 17.8 Days CHF 2600 Submit
Remote Sensing
remotesensing
4.2 8.3 2009 24.7 Days CHF 2700 Submit
ISPRS International Journal of Geo-Information
ijgi
2.8 6.9 2012 36.2 Days CHF 1700 Submit

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Published Papers (27 papers)

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