A New Method for Noise Removal in Npp-Viirs Monthly Nighttime Light Imagery over the Sahel Region

Conference Paper (2019)
Author(s)

Xiaotian Yuan (Chinese Academy of Sciences)

Li Jia (Chinese Academy of Sciences)

J. Zhou (Central China Normal University, TU Delft - Optical and Laser Remote Sensing)

Massimo Menenti (TU Delft - Optical and Laser Remote Sensing, Chinese Academy of Sciences)

Qiting Chen (Chinese Academy of Sciences)

Research Group
Optical and Laser Remote Sensing
DOI related publication
https://doi.org/10.1109/IGARSS.2019.8897941
More Info
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Publication Year
2019
Language
English
Research Group
Optical and Laser Remote Sensing
Pages (from-to)
7467-7470
ISBN (print)
9781538691557
ISBN (electronic)
9781538691540

Abstract

The monthly nighttime light data observed by the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the National Polar-orbiting Partnership (NPP) satellite are useful to assess human activities. However, noise in the VIIRS data and unstable power supply in many areas often limit its application in detecting anthropic activities. This study aims to develop a new method (i.e., Patches Denoising Method, PDM) to remove noise in the VIIRS monthly nighttime light data towards better information on anthropic activities. The new synthesized data were examined in the Sahel region where the intensity of nighttime light is often affected by unstable power supply. The results showed that the new data could capture more settlements correctly compared with the annual data released by the National Centers for Environmental Information (NCEI) of the National Oceanic and Atmospheric Administration (NOAA). This suggests that the Patches De-noising Method is a useful way to remove noise in the NPP-VIIRS monthly nighttime light data.

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