Harmonised Night-light Data

The Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) stable nighttime light (NTL) data offer considerable potential for studying global and regional dynamics, including urban sprawl and electricity consumption. However, due to the lack of on-board calibration, it necessitates inter-annual calibration for practical applications. In this dataset, a stepwise calibration approach was employed to generate a temporally consistent NTL time series spanning from 1992 to 2013. Initially, temporal inconsistencies in the original NTL time series were identified. Subsequently, a stepwise calibration scheme was developed to systematically address over- and under-estimations in NTL images derived from specific satellites and years, utilizing temporally neighboring images as references for calibration. Following the stepwise calibration, the raw NTL series demonstrated improvement with a more consistent temporal trend. The global sum of NTL magnitude was maximally preserved in the data compared to the raw data, surpassing other conventional calibration approaches. The normalized difference index indicates that this approach can achieve a high level of agreement between two satellites in the same year.

国防气象卫星计划（Defense Meteorological Satellite Program, DMSP）/业务线扫描系统（Operational Linescan System, OLS）稳定夜间灯光（stable nighttime light, NTL）数据，在全球及区域动态研究中具备显著应用潜力，可用于城市扩张、电力消费等领域的分析。然而，由于缺乏星载定标机制，该数据在实际应用中需开展年际定标处理。本数据集采用逐步定标方法，生成了1992年至2013年的时间一致性夜间灯光时间序列。研究首先识别了原始夜间灯光时间序列中的时间不一致性问题，随后构建逐步定标方案，以时间邻近影像作为定标参考，系统性修正特定卫星及对应年份获取的夜间灯光影像中的高估与低估偏差。经逐步定标处理后，原始夜间灯光序列的时间趋势一致性得到显著改善。相较于原始数据，本数据集最大程度保留了夜间灯光强度的全球总和，且性能优于其他传统定标方法。归一化差异指数结果表明，该方法可实现同一年份不同卫星观测结果的高度一致性。

搜集汇总

背景与挑战

背景概述

该数据集提供1992-2013年经过逐步校准的DMSP/OLS稳定夜间灯光数据，解决了原始数据的时间不一致性问题，并优化了全球夜间灯光总量的准确性，适用于研究城市扩张和电力消耗等区域动态。