Special Issue "Remote Sensing for 3D Urban Morphology"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 September 2017)
Prof. Dr. Bailang Yu
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China
Website | E-Mail
Interests: nighttime light remote sensing; urban remote sensing; object-oriented analysis for remotely sensed images; LiDAR (Light Detection and Ranging)
Worldwide urbanization has transformed vast farmlands, grasslands, wetlands, and forests into urban landscapes at unprecedented rates, resulting in profound changes on the Earth’s surface. In recent decades, increasing urban population, higher demand for housing and infrastructure, and rising land price, have pressed many cities to adopt the vertical development strategy. Ideally, vertical cities would overcome many problems such as rapid population growth, air pollution, and loss of arable and green spaces. However, due to lack of sufficient information and knowledge about how the urban features such as buildings, monuments, streets, parking lots, and open spaces should be put together, most of the zoning plans of the large cities in the world are not sustainable to the changing environment. Urban morphology, or in other word the 3D structure of the urban built environment is one of the keys to smart urban planning. For example, existing studies have reported that 3D urban morphology affects the wind conditions at a pedestrian level, access to sunlight and solar radiation, interior temperatures of buildings, surface thermal conditions, dispersion of atmospheric pollutants, and land subsidence. Scientific knowledge of 3D urban morphology and its interactions with other urban environmental/ecological components are fundamentally important for smart urban planning.
Remote Sensing technology provides a synoptic and cost-effective way for measuring the 3D urban morphology and analyzing its impacts on the natural environments. For example, aerial stereo photogrammetry, interferometric synthetic aperture radar (InSAR), and airborne light detection and ranging (LiDAR) have been employed to digitize urban areas to 3D maps in a geographic information system (GIS). In addition, there are more research interests towards the use of mobile laser scanning (MLS), oblique photogrammetry, and unmanned aerial vehicles (UAV), to measure 3D urban morphology.
This Special Issue aims to invite prospective authors to submit an original manuscript of their latest innovative research results in Remote Sensing for “3D Urban Morphology”. Comprehensive reviews of this field are also welcomed. The range of topics includes, but is not limited to:
- State-of-the-art remote sensing technologies for measuring 3D urban morphology
- New definitions of 3D landscape indices and their applications
- New methods for 3D modeling of urban areas using remotely sensed data
- Urban structure analysis based 2D and/or 3D morphology
- Impacts of 3D morphology on urban environment and ecology
Authors are required to check and follow the Instructions to Authors, https://www.mdpi.com/journal/remotesensing/instructions.
Dr. Bailang Yu
Dr. Lei Wang
Dr. Qiusheng Wu
Manuscript Submission Information
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