Authors: Qihao Weng*, Indiana State University
Topics: Remote Sensing, Urban Geography, Environmental Science
Keywords: Cities, daytime, nightime, time series image analysis, urbanization
Session Type: Virtual Paper
Start / End Time: 9:35 AM / 10:50 AM
Room: Virtual 13
Presentation File: No File Uploaded
Satellite sensors are inherently different for daytime and nighttime imaging in terms of viewing conditions, overpass time, and spectral and radiometric properties. When the complexity of urban landscapes and the spatial and temporal scales of human activities are also considered, it is highly challenging to combine the daytime and nighttime image data to build a holistic approach to monitoring, measuring, and modeling global urbanization processes and their impacts at various spatial scales. Recent researches in urban remote sensing have shifted the focus from analysis of selected images in a few dates to better utilization of time series images for extracting and interpreting more subtle information hidden in the large volume of datasets. This talk examines the use of time series imagery of both daytime ad nighttime to analyze urbanization and its environmental impacts in selected megacities in the world by exploring new methods, techniques, and applications. Three key science questions are discussed, including: (1) How can time series images be used to characterize and quantify urbanization processes? (2) Can different paths of urbanization be identified by nighttime light imagery, and what are the effects of these paths on anthropogenic heat release and the dynamics of surface urban heat islands? (3) Existing models of LULCC are not sufficient to characterize and quantify complicated urban land use changes. Can nighttime light features be extracted to augment daytime imagery in order to map and characterize urban land use changes of various types?