A consistent and corrected nighttime light dataset (CCNL 1992-2013) from DMSP-OLS data.

ABSTRACT: Remote sensing of nighttime light can observe the artificial lights at night on the planet's surface. The Defense Meteorological Satellite Program's Operational Line Scan (DMSP-OLS) data (1992-2013) provide planet-scale nighttime light data over a long-time span and have been widely used in areas such as urbanization monitoring, socio-economic parameters estimation, and disaster assessment. However, due to the lack of an on-board calibration system, sensor design defects, limited light detection range, and inadequate quantization levels, the applications of DMSP-OLS data are greatly limited by interannual inconsistency, saturation, and blooming problems. To address these issues, we used the power function model based on pseudo-invariant feature, the saturation correction method based on re

SUBMITTER: Zhao C 

PROVIDER: S-EPMC9300681 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature