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

Conference paper (2019)

Authors

Xiaotian Yuan University of Chinese Academy of Sciences, Chinese Academy of Sciences
Li Jia Chinese Academy of Sciences
J. Zhou Optical and Laser Remote Sensing - CEG , Central China Normal University
M. Menenti Optical and Laser Remote Sensing - CEG , Chinese Academy of Sciences
Qiting Chen Chinese Academy of Sciences
Research Group
Optical and Laser Remote Sensing (CEG) (TU Delft)
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Published Date

2019

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Optical and Laser Remote Sensing

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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