The biennial international Joint Urban Remote Sensing Event (JURSE) is designed to be a forum of excellence where a selected group of researchers, practitioners, and students will present and discuss their latest findings and results.
This event is committed to introduce innovative methodologies and technological resources recently employed to investigate the manifold aspects of the urban environment through orbital and airborne remote sensing data. Emerging topics like new methods for urban land cover and land use classification with detailed discrimination of urban targets, 3D modeling of urban buildings, forecast and impact assessment of natural and man-made hazards in urban areas, urban social studies, urban ecology as well as data fusion, algorithms and techniques for remotely sensed data interpretation, and multisource remote sensing data will be approached, aiming to address pressing questions and offer effective solutions in urban remote sensing but also to unravel new possibilities for the interpretation, processing, fusion, and application of remotely sensed data in urban investigations.
Urban climatology, geology, and geohazards
Urban heat island effects
Air quality assessment
Subsidence
Hydrology
Earthquake/Volcanic/ falling, landslide and debris flow geological hazards
Coastal hazards
Environmental monitoring (soil, groundwater contaminant studies)
RS applications to social science
Applications to vital statistics
RS and health
RS and GIS applications to social science
Applications to security and emergency
Applications to "World Expo" and "Olympic Games"
RS and GIS applications in archaeology
RS applications to urban planning and conservation
Urban planning
Transportation planning
Digital city
Urban conservation
Urban simulation based on RS
Cultural heritage
Urban development and growth pattern
Urban development modeling
Contributions to urban trajectory theory
Detailed structure change
Smart growth
Urban and peri-urban ecology
Urban and peri-urban landscape ecology
Urban and peri-urban ecological process modeling
Comparative studies
03月06日
2017
03月08日
2017
初稿截稿日期
注册截止日期
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