The presence of clouds prevents optical satellite imaging systems from obtaining useful
Earth observation information and negatively affects the processing and application of …

A highly automated algorithm called vegetation change tracker (VCT) has been developed
for reconstructing recent forest disturbance history using Landsat time series stacks (LTSS) …

This paper describes the new global long-term International Satellite Cloud Climatology
Project (ISCCP) H-series climate data record (CDR). The H-series data contain a suite of …

Satellite observations of nighttime lights (NTL) from Suomi-NPP and NOAA-20 VIIRS
Day/Night Band data have been widely used to estimate human activities. Long-term …

Accurate masking of cloud and cloud shadow is a prerequisite for reliable mapping of land
surface attributes. Cloud contamination is particularly a problem for land cover change …

Two global level 2 sea surface temperature (SST) products are generated at NOAA from the
Suomi National Polar‐Orbiting Partnership Visible Infrared Imaging Radiometer Suite …

Abstract The Visible Infrared Imager Radiometer Suite (VIIRS) Cloud Mask (VCM)
determines, on a pixel‐by‐pixel basis, whether or not a given location contains cloud. The …

Spaceborne remote sensing provides valuable information about the state of the Earth‐
atmosphere system and its components in an area‐wide and continuous manner. Over the …

Hyperspectral infrared (IR) sounders provide high vertical resolution atmospheric sounding
information that can improve the forecast skill in numerical weather prediction. Commonly …

Clouds and shadows pose a significant barrier for land surface optical and infrared remote
sensing image processing and their various applications. The detection and removal of …