Xi Li

TL;DR: In this article, the authors outline the historical development of night-time optical sensors up to the current state-of-the-art sensors, highlight various applications of night light data, discuss the special challenges associated with remote sensing of night lights with a focus on the limitations of current sensors, and provide an outlook for the future of remote sensing.

TL;DR: This study demonstrates that the recently released NPP-VIIRS nighttime light imagery has a stronger capacity in modeling regional economy than those of the DMSP-OLS data.

TL;DR: In this paper, an intercalibration model was proposed to simulate DMSP/OLS composites from the VIIRS day-and-night band DNB composites, by using a power function for radiometric degradation and a Gaussian low pass filter for spatial degradation.

TL;DR: Overall, IMERG can capture the spatial patterns of precipitation over China well and performs a little better than TRMM 3B43 at seasonal and monthly scales; but most IMERG products over these areas are unreliable and IMERG shows poor performance in winter even if GPM improved its ability to sense frozen precipitation.

TL;DR: The challenges in current nighttime light remote sensing research are summarized and four strategic directions are proposed, including improving nighttime light data; developing a long time series of consistent nighttime lightData; integrating nighttime light observations with other data and knowledge; and promoting multidisciplinary and interdisciplinary analyses of nighttime light observation.