@inproceedings{177aa20724094d6888c00e6ba29ae3db,
title = "Subpixel urban mapping over the conterminous U.S. (CONUS) using S-NPP VIIRS",
abstract = "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\%. A wall-to-wall map of urban land use across the conterminous U. S. (CONUS) in 2012 was produced, demonstrating the utility of VIIRS observations for urban mapping at regional to larger scales.",
keywords = "CONUS, Random forest, Subpixel mapping, Urban percentage, VIIRS",
author = "Huiran Jin",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",
year = "2019",
doi = "10.1109/IGARSS.2019.8900580",
language = "English (US)",
series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1903--1906",
booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",
address = "United States",
}