The desaturation method of DMSP/OLS nighttime light data based on vector data: taking the rapidly urbanized China as an example

Document Type

Article

Publication Date

3-4-2019

Abstract

The saturation of night light data caused by sensor defects conceals the differences and details of light luminance in the urban area, which greatly limits the application of Nighttime Light (NTL) in the study of urbanization. Although some methods have been proposed to mitigate the saturation of NTL data, the research of desaturation is worth further advancing due to its shortcomings in highlighting light differences and spatial resolution. Therefore, we propose a new spectral index, the Vector Data Adjusted NTL Index (VDANTLI) after analyzing the influence of different auxiliary parameters on saturation elimination. Then, we select the three most developed urban agglomerations in China and make a series of qualitative and quantitative analysis. The results of various assessments confirm that VDANTLI can effectively alleviate NTL saturation and enhance urban lighting differences. Moreover, by dynamically adjusting the length of the grid and single-phase vector data modified time-series NTL data, we further achieve the resolution-series and time-series VDANTLI. Therefore, compared with previous desaturation models, the VDANTLI can be used as an effective indicator and even an indispensable basic data for urbanization research and socio-economic spatial analysis because of its unique advantages in spatial resolution and the capability in time-series native NTL desaturation.

Identifier

85055739449 (Scopus)

Publication Title

International Journal of Geographical Information Science

External Full Text Location

https://doi.org/10.1080/13658816.2018.1538516

e-ISSN

13623087

ISSN

13658816

First Page

431

Last Page

453

Issue

3

Volume

33

Grant

41671430

Fund Ref

National Natural Science Foundation of China

This document is currently not available here.

Share

COinS