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Measuring oil residence time with GPS-drifters, satellites, and Unmanned Aerial Systems (UAS)
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CITE Title : Measuring oil residence time with GPS-drifters, satellites, and Unmanned Aerial Systems (UAS) Personal Author(s) : Garcia-Pineda, Oscar;Androulidakis, Yannis;Le Hénaff, Matthieu;Kourafalou, Villy;Hole, Lars R.;Kang, HeeSook;Staples, Gordon;Ramirez, Ellen;DiPinto, Lisa; Published Date : 2022 Source : Marine Pollution Bulletin, Volume 150, January 2020, 110644 DOI : https://doi.org/10.1016/j.marpolbul.2019.110644 Journal Title : Marine Pollution Bulletin Garcia-Pineda, Oscar et al. (2022). Measuring oil residence time with GPS-drifters, satellites, and Unmanned Aerial Systems (UAS). 150https://doi.org/10.1016/j.marpolbul.2019.110644 Garcia-Pineda, Oscar et al. "Measuring oil residence time with GPS-drifters, satellites, and Unmanned Aerial Systems (UAS)" 150 (2022), https://doi.org/10.1016/j.marpolbul.2019.110644 Garcia-Pineda, Oscar et al. "Measuring oil residence time with GPS-drifters, satellites, and Unmanned Aerial Systems (UAS)" vol. 150, 2022, https://doi.org/10.1016/j.marpolbul.2019.110644 Export RIS Citation Information.
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Personal Author:
Garcia-Pineda, Oscar ;
Androulidakis, Yannis
...
2022 | Marine Pollution Bulletin, Volume 150, January 2020, 110644
Description:
As oil production worldwide continues to increase, particularly in the Gulf of Mexico, marine oil spill preparedness relies on deeper understanding of...
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Mapping of Snow Depth by Blending Satellite and In-Situ Data Using Two-Dimensional Optimal Interpolation--Application to AMSR2
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CITE Title : Mapping of Snow Depth by Blending Satellite and In-Situ Data Using Two-Dimensional Optimal Interpolation--Application to AMSR2 Personal Author(s) : Kongoli, Cezar;Key, Jeffrey;Smith, Thomas; Published Date : 2019 Source : Remote Sens. 2019, 11(24), 3049 DOI : https://doi.org/10.3390/rs11243049 Journal Title : Remote Sensing Kongoli, Cezar et al. (2019). Mapping of Snow Depth by Blending Satellite and In-Situ Data Using Two-Dimensional Optimal Interpolation--Application to AMSR2. 11(24). https://doi.org/10.3390/rs11243049 Kongoli, Cezar and Key, Jeffrey and Smith, Thomas "Mapping of Snow Depth by Blending Satellite and In-Situ Data Using Two-Dimensional Optimal Interpolation--Application to AMSR2" 11, no. 24 (2019), https://doi.org/10.3390/rs11243049 Kongoli, Cezar et al. "Mapping of Snow Depth by Blending Satellite and In-Situ Data Using Two-Dimensional Optimal Interpolation--Application to AMSR2" vol. 11, no. 24, 2019, https://doi.org/10.3390/rs11243049 Export RIS Citation Information.
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Personal Author:
Kongoli, Cezar ;
Key, Jeffrey

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2019 | Remote Sens. 2019, 11(24), 3049
Description:
The development of a snow depth product over North America is investigated by applying two-dimensional optimal interpolation to passive microwave sate...
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[PDF - 7.27 MB]