Continued urbanization worldwide and its environmental impacts have caught great attention in the remote sensing community and beyond. Urban remote sensing as an enabling method has been widely applied in the past decades to address these issues. Group on Earth Observation (GEO) started a program on Global Urban Observation and Information (GUOI) in 2012, and has reshaped it as a GEO Initiative for its 2017-2019 work plan. Essentially, the activities of participating organizations and countries are coalesced as one program through collaborative and affiliated projects, annual symposia, international summer school, publications, and coordinated user engagement efforts. GUOI aims to generate various data products for global urban areas using Earth Observation (EO) data, to provide EO-based urban data services through various systems and tools, to develop new models and algorithms to assess and monitor urban environments, and to develop essential urban variables and indicators for sustainable cities for the UN SDG 11.
This is the fourth year GEO GUOI utilizes AAG annual meeting as the platform for a symposium. By organizing this event, it is hoped to create an opportunity for intensive discussion among current leaders and potential contributors, to provide stimulations to interested students and young researchers to join the GEO intuitive, and to foster urban remote sensing researches. In 2018, we especially welcome papers and presentations addressing the following topics:
• Societal benefits of urban remote sensing;
• Essential EO-based urban variables and indicators to support sustainable cities;
• Urban infrastructures (impervious surfaces, roads, buildings) and urban hazards;
• Ecosystem structures and functions of cities and their hinterlands in the coastal/wetland regions;
• Gaps and needs in the integration of EO with in situ data as well as social media data.
|Presenter||Yang Ju*, University of California - Berkeley, Iryna Dronova, University of California - Berkeley, Nighttime light derived urbanization trends in countries under major economic shifts: an analysis in Ukraine between 1992 and 2013||20||10:00 AM|
|Presenter||SUMUDU DARSHANA ATHUKORALA ARACHCHIGE*, Graduate School of Life and Environmental Science, Division of Spatial Information Science, UNIVERSITY OF TSUKUBA, JP, Applying Remote Sensing and GIS techniques to Investigate Urban Wetland Changes of Colombo Metropolitan Region in Sri Lanka||20||10:20 AM|
|Presenter||Chenxi Lin*, University of Wisconsin - Milwaukee, Changshan Wu, University of Wisconsin - Milwaukee, Examining the scale effect in variogram: how to find the optimal scale?||20||10:40 AM|
|Presenter||Rohit Mukherjee*, The Ohio State University, Desheng Liu, The Ohio State University, Satellite Data Fusion between MODIS and Landsat 8 using a Single Image Superresolution Deep Learning model||20||11:00 AM|
|Presenter||Benjamin Swan*, Oak Ridge National Laboratory, Lexie Yang, Oak Ridge National Laboratory, Melanie Laverdiere, Oak Ridge National Laboratory, Learning from Past Classification Errors: Exploring Methods for Improving the Performance of a Deep Learning-based Building Extraction Model through Quantitative Analysis of Commission Errors for Optimal Sample Selection||20||11:20 AM|
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