Dr. Qihao Weng is the Director of the Center for Urban and Environmental Change and a full professor of geography at Indiana State University, USA. He was a visiting NASA senior fellow. He is also a guest/adjunct professor at Peking University, Hong Kong Polytechnic University, Wuhan University and Beijing Normal University, and a guest research scientist at Beijing Meteorological Bureau, China. Dr. Weng is the Lead of Global Urban Observation and Information Task for GEO (Group on Earth Observations, 2012-2016). In addition, he serves as an Editor-in-Chief of ISPRS Journal of Photogrammetry and Remote Sensing, and is the Series Editor for Taylor & Francis Series in Remote Sensing Applications. Dr. Weng was a National Director of American Society for Photogrammetry and Remote Sensing (2007-2010), and the Chair of AAG China Geography Specialty Group.
Time Series Image Analysis for Urbanization Studies
The growth of remotely sensed “big data” is accompanied by recent availability of free medium resolution satellite imagery, adding to the data pool of previously available coarse resolution satellite imagery. The continued improvement in temporal resolution of satellite image acquisition, especially those with high-spatial resolution, results in increasing accumulation of images for any given location is creating possibilities for time-series analysis and real-time assessment of scene dynamics. Time intensive images at coarse and medium spatial resolutions offers a great opportunity to study how the Earth’s surface is changing, to determine the causes and effects of the changes, and to predict future changes. Some recent researches in urban remote sensing have shifted the focus from data procurement of selected images in a few dates to better utilization of time series images for extracting, interpreting, and using more subtle information hidden in the large volume of datasets. Some key science questions arise, including: (1) how can useful information be extracted from satellite imagery to form a long-term climatology? (2) how can time series images be used to characterize and quantify urbanization processes? and (3) how can urbanization associated land use and land cover changes affect intra- and inter-annual temperature trends in urban areas, adding to the known global warming trends? This talk examines the use of time series imagery to analyze urbanization and its environmental impacts in selected urban areas worldwide by illustrating methods and techniques for development and application of impervious surface and land surface temperature datasets.