Urban Land-System Synergies and Governance Using Remote Sensing, Modeling and Big Data, Analysis

Dear Colleagues,

The significance of urban land-system synergies and spatial governance are increasingly emerging toward sustainable target and livable environment in cities. Satellite remote sensing, process-based models and big data are playing the pivotal roles for obtaining spatially explicit knowledge for better planning or managing city. This session expects to provide an opportunity for urban land-system synergies and governance with remote sensing, modeling and big data integration. Remote sensing, modeling and big data technologies as well as the improvement of mapping algorithms, such as impervious surface area, surface radiation and heat fluxes, heat island, and surface runoff associated with urbanization will be expected to share and exchange in this session. In addition, optimized schemes on urban-land system, i.e. low impact development in cities, carbon emission reduction in cities and so on, is suitable for this session.

The fourth Open Science Meeting of the Global Land Programme (GLP 4th OSM 2019) will be held from the 24-26 of April 2019 in Bern, Switzerland. In this conference, we will organize a session on above theme, which will attribute to the conference theme “How do we support transformation? New frontiers in studying and governing land systems”. As a follow-up to the workshop, we are calling for papers on the work presented at the session of GLP 4th OSM 2019. In addition to this, we welcome papers from the global research community actively involved in this session. As such, the special issue is open to anyone doing research in this field. The selection of papers for publication will depend on quality and rigor of research. The potential topics may include the followings:

1. Data integration or fusion methods from remote sensing, process-based modeling, or big data
2. High-spatial resolution mapping of urban land cover/land use (i.e., impervious surface, green space)
3. Spatial mapping and exploratory analysis on urban heat island, urban hydrological process, and other ecological factors.
4. Knowledge mining or discovery from available fine-scale spatially explicit information for urban governance
   

Prof. Dr. Dengsheng Lu
Dr. Wenhui Kuang
Prof. Dr. Chi Zhang
Dr. Tao Pan
Guest Editors

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