A relative radiation normalization method of iss nighttime light images based on pseudo invariant features

Shengrong Wei, Weili Jiao, Tengfei Long, Huichan Liu, Lu Bi, Wei Jiang, Boris A. Portnov, Ming Liu

Research output: Contribution to journalArticlepeer-review

Abstract

The International Space Station (ISS) offers a unique view from space that provides nighttime light (NTL) images of many parts of the globe. Compared with other NTL remote sensing data, ISS NTL multispectral images taken by astronauts with commercial digital single-lens reflex (DSLR) cameras have the characteristics of free access, high spatial resolution, abundant data and no light saturation, so it plays a unique advantage in the research of small-scale urban planning, optimization of lighting resource allocation and blue light pollution. In order to improve the radiation consistency of ISS NTL images, a relative radiation normalization method of ISS NTL images is proposed in this paper. Pseudo invariant features (PIF) were identified in the cloud-free Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) time series NTL remote sensing annual composite product, and then they were used to derive the relative radiation normalization model of ISS NTL images. The results show that the radiation brightness of ISS NTL images in different regions is normalized to the same gray level with that of DMSP/OLS NTL remote sensing images in the same year, which improves the radiation brightness comparability between different regions of ISS NTL images. This method is universally applicable to all ISS NTL images, which is beneficial to the NTL comparability of ISS NTL image in the regional horizontal and temporal vertical.

Original languageEnglish
Article number3349
Pages (from-to)1-21
Number of pages21
JournalRemote Sensing
Volume12
Issue number20
DOIs
StatePublished - 2 Oct 2020

Bibliographical note

Funding Information:
Funding: This research was funded by the National Key Research and Development Programs of China (grant number 2017YFE0125900), the program of the National Natural Science Foundation of China (grant number 61731022), and National Science Foundation for Young Scientists of China (grant number 61701495).

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • DMSP/OLS
  • International Space Station
  • Nighttime light
  • Pseudo invariant feature
  • Radiation normalization

ASJC Scopus subject areas

  • Earth and Planetary Sciences (all)

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