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Cloud Detection and Classification for S-NPP FSR CRIS Data Using Supervised Machine Learning

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Cloud detection and classification are important and challenging in satellite infrared remote sensing. This study proposes an end-to-end cloud detection and classification method for the Cross-track Infrared Sounder (CrIS) based on big data analysis and relevant machine learning schemes.
Miao Tian   +2 more
openaire   +2 more sources

Liquid Water Path (LWP) Retrievals from Reprocessed S-NPP ATMS Through Remapping

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The Advanced Technology Microwave Sounder (ATMS) onboard the Suomi-National Polar-orbiting Partnership (S-NPP) is a cross-track scanning instrument with frequencies ranging from 23 to 183 GHz which allows for probing the atmospheric temperature and moisture.
Lin Lin 0010, Lihang Zhou
openaire   +2 more sources

Subpixel Urban Mapping Over the Conterminous U.S. (CONUS) Using S-NPP VIIRS

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
A random forest regression model was developed to estimate subpixel urban percentage using the Visible Infrared Imaging Radiometer Suite (VIIRS) data and high quality calibration information derived from the National Land Cover Database (NLCD) 2011. Accuracy assessment resulted in a mean absolute error of 3.57% and a root mean square error of 8.50%.
openaire   +1 more source

Evaluating the grassland NPP dynamics in response to climate change in Tanzania

Ecological Indicators, 2021
Stephanie Gleixner   +2 more
exaly  

Assessing the NOAA-20 and S-NPP VIIRS radiometric consistency

Earth Observing Missions and Sensors: Development, Implementation, and Characterization V, 2018
Xi Shao   +3 more
openaire   +1 more source

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