活动简介

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.

 

The objectives of JURSE 2017 are:

  • Gathering people coming from industry, academia, local and national/international agencies together to discuss topics related to remote sensing for urban monitoring

  • Fostering the research and the applications of available data sets over urban areas, with a special consideration for high resolution satellite data and data fusion

  • Providing new ideas for developing sensors and/or systems able to analyse and monitor urban areas

  • Improving the knowledge and the know-how by means of the interaction of researchers coming from different communities (town and regional planning, engineering, photogrammetry, geology, hydrology, etc)

  • Urban remote sensing includes a wide array of research topics and disciplines, and arises as a truly interdisciplinary field. The joint conferences will feature many special sessions with oral and poster components.

征稿信息

重要日期

2016-09-11
初稿截稿日期
2016-11-06
初稿录用日期
2016-12-22
终稿截稿日期

征稿范围

New data & sensors for urban area remote sensing

  • SAR

  • InSAR

  • Airborne and terrestrial LiDAR

  • VHR optical orbital and airborne sensors and data

  • Hyperspectral sensors and data

  • Thermal IR sensors and data

  • UAVs and airborne sensors

Structure detection and characterization in urban areas

  • Change detection techniques

  • Classification algorithms

  • Multitemporal analysis

  • Feature extraction methods

  • Calibration and correction approaches

Algorithms and techniques for remotely sensed data interpretation in urban areas

  • Building extraction and reconstruction

  • Road and road network extraction

  • Vehicle detection and traffic monitoring

  • Urban area extraction

  • Land use and land cover mapping

  • Data mining

Algorithms and techniques for urban area applications

  • Urban modeling

  • Urban area trend monitoring

  • Urban heat island monitoring

  • Urban atmosphere monitoring

  • GIS & remote sensing data fusion

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

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重要日期
  • 会议日期

    03月04日

    2017

    03月07日

    2017

  • 09月11日 2016

    初稿截稿日期

  • 11月06日 2016

    初稿录用通知日期

  • 12月22日 2016

    终稿截稿日期

  • 03月07日 2017

    注册截止日期

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Dubai Municipality
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