Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Prabuddha M. H. Dewage"'
Autor:
Shisir Ruwali, Shawhin Talebi, Ashen Fernando, Lakitha O. H. Wijeratne, John Waczak, Prabuddha M. H. Dewage, David J. Lary, John Sadler, Tatiana Lary, Matthew Lary, Adam Aker
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1019-1046 (2024)
Introduction: Air pollution has numerous impacts on human health on a variety of time scales. Pollutants such as particulate matter—PM1 and PM2.5, carbon dioxide (CO2), nitrogen dioxide (NO2), and nitric oxide (NO) are exemplars of the wider human
Externí odkaz:
https://doaj.org/article/30f144bd91434ce5b416c382d4247535
Autor:
John Waczak, Adam Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Ashen Fernando, Prabuddha M. H. Dewage, Mazhar Iqbal, Matthew Lary, David Schaefer, Gokul Balagopal, David J. Lary
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2430 (2024)
Unmanned aerial vehicles equipped with hyperspectral imagers have emerged as an essential technology for the characterization of inland water bodies. The high spectral and spatial resolutions of these systems enable the retrieval of a plethora of opt
Externí odkaz:
https://doaj.org/article/fd783ffd3c6d487280b4ee8541382ea3
Autor:
Prabuddha M. H. Dewage, Lakitha O. H. Wijeratne, Xiaohe Yu, Mazhar Iqbal, Gokul Balagopal, John Waczak, Ashen Fernando, Matthew D. Lary, Shisir Ruwali, David J. Lary
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2454 (2024)
This study aims to provide analyses of the levels of airborne particulate matter (PM) using a two-pronged approach that combines data from in situ Internet of Things (IoT) sensor networks with remotely sensed aerosol optical depth (AOD). Our approach
Externí odkaz:
https://doaj.org/article/ad9dd304768742c4a4b5cae0080a4211
Autor:
John Waczak, Adam Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Ashen Fernando, Prabuddha M. H. Dewage, Mazhar Iqbal, Matthew Lary, David Schaefer, David J. Lary
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 996 (2024)
Inland waters pose a unique challenge for water quality monitoring by remote sensing techniques due to their complicated spectral features and small-scale variability. At the same time, collecting the reference data needed to calibrate remote sensing
Externí odkaz:
https://doaj.org/article/26f2ca9e4483466fb48b1f4c342d0581