This study developed a de-difference smoothing algorithm for producing high-quality annual NTL products based on monthly National Polar-orbiting Partnership ...

Aug 9, 2024 · Therefore, this study developed a de-difference smoothing algorithm for producing high-quality annual NTL products based on monthly National ...

The results showed that DDSNL products had strong correlation with the NTL distribution of EOG NPP-VIIRS, but little correlation with NPP-VIIRS-like. Notably, ...

Corrected nighttime light images were examined to discuss the estimation ability of gross domestic product (GDP) and electric power consumption (EPC) on ...

Sep 20, 2024 · Bibliographic details on Production of Annual Nighttime Light Based on De-Difference Smoothing Algorithm.

Production of Annual Nighttime Light Based on De-Difference Smoothing Algorithm. Remote Sens. 2024, 16, 3013. https://doi.org/10.3390/rs16163013. AMA Style.

However, current annual NTL products suffer from several critical limitations, including poor consistency, severe background noise, and limited comparability.

With annual data stretch from 1992 to 2013, making DMSP Nighttime Light the longest data series available for nocturnal remote sensing on human activities.

Abstract. NASA's Black Marble nighttime lights product suite (VNP46) is available at 500 m resolution since January 2012 with data from the Visible Infrared ...

In this study, the DMSP/OLS and NPP/VIIRS data were used mainly to produce multiple nighttime light data over the period 2000 to 2020 by data preprocessing, ...