Improving VIIRS nighttime light imagery using Landsat-8 thermal infrared imagery for urban extent extraction

Authors: Changmin Lee*, Seoul National University
Topics: Remote Sensing, Urban Geography, Asia
Keywords: VIIRS, TIRS, Landsat-8, NTL, Night-time light satellite imagery
Session Type: Poster
Day: 4/4/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded

Recently, urbanization is one of the crucial issues in social and environmental perspective. The monitoring of urban area can be achieved by various remote sensing sensors. Visible Infrared Imaging Radiometer Suite (VIIRS), one of the sensors providing nighttime light (NTL) data, and it can be used for assessment of urban extent analysis. However, the coarse spatial resolution of VIIRS NTL data is inadequate for evaluating detailed urban landcover. Thus, we improved the spatial resolution of VIIRS NTL by using Landsat-8 thermal infrared (TIR) imagery. Thermal data is usually related to the emissivity of objects on the ground, and this property can also account for urban extent and emissivity. The study area was selected to Seoul, one of a mega-cities in the East Asia region. To this purpose, freely and periodically accessible Landsat-8 TIR and VIIRS NTL data were acquired. Then, urban extents were extracted by the improved VIIRS NTL dataset.

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