Zobrazeno 1 - 8
of 8
pro vyhledávání: '"A. R. Naeger"'
Publikováno v:
Atmospheric Measurement Techniques, Vol 9, Iss 6, Pp 2463-2482 (2016)
The primary goal of this study was to generate a near-real time (NRT) aerosol optical depth (AOD) product capable of providing a comprehensive understanding of the aerosol spatial distribution over the Pacific Ocean, in order to better monitor and tr
Externí odkaz:
https://doaj.org/article/be0a342cd04e422b8e1eff22780506f1
Autor:
A. R. Naeger, S. A. Christopher
Publikováno v:
Atmospheric Measurement Techniques, Vol 7, Iss 2, Pp 581-597 (2014)
In this paper, we develop an algorithm based on combining spectral, spatial, and temporal thresholds from the geostationary Spinning Enhanced Visible and Infrared Imager (SEVIRI) daytime measurements to identify and track different aerosol types, pri
Externí odkaz:
https://doaj.org/article/878b72e058fb47d283143d729a06726a
Autor:
Iván Gutiérrez-Avila, Kodi B. Arfer, Daniel Carrión, Johnathan Rush, Itai Kloog, Aaron R. Naeger, Michel Grutter, Victor Hugo Páramo-Figueroa, Horacio Riojas-Rodríguez, Allan C. Just
Publikováno v:
Journal of Exposure Science & Environmental Epidemiology. 32:917-925
Background Machine-learning algorithms are becoming popular techniques to predict ambient air PM2.5 concentrations at high spatial resolutions (1 × 1 km) using satellite-based aerosol optical depth (AOD). Most machine-learning models have aimed to p
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
S. A. Christopher, A. R. Naeger
Publikováno v:
Atmospheric Measurement Techniques, Vol 7, Iss 2, Pp 581-597 (2014)
In this paper, we develop an algorithm based on combining spectral, spatial, and temporal thresholds from the geostationary Spinning Enhanced Visible and InfraRed Imager (SEVIRI) daytime measurements to identify and track different aerosol types, pri
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:642-653
In this paper, we develop a new technique called the brightness temperature difference cloud and aerosol discrimination algorithm (BTD CAD) that uses thermal infrared satellite measurements to improve the accuracy of the cloud-aerosol lidar and infra
Publikováno v:
Qualitative Social Work. 8:357-376
Self-sufficiency (SS) is the epitome of America’s ‘reluctant’ welfare state. It is generally accepted in social welfare policy circles as a concept related to independence and financial stability. Nevertheless, SS is not a term agreed upon in p
The primary goal of this study was to generate a near-real time (NRT) aerosol optical depth (AOD) product capable of providing a comprehensive understanding of the aerosol spatial distribution over the Pacific Ocean in order to better monitor and tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f1fce1a772d9e5c80a0e4883a29321b
https://doi.org/10.5194/amtd-8-10319-2015
https://doi.org/10.5194/amtd-8-10319-2015