Zobrazeno 1 - 10 of 38 pro vyhledávání: '"Michal Segal-Rozenhaimer"'
1
Akademický článek
Cloud processing and weeklong ageing affect biomass burning aerosol properties over the south-eastern Atlantic
Autor: Haochi Che, Michal Segal-Rozenhaimer, Lu Zhang, Caroline Dang, Paquita Zuidema, Amie Dobracki, Arthur J. Sedlacek, Hugh Coe, Huihui Wu, Jonathan Taylor, Xiaoye Zhang, Jens Redemann, Jim Haywood
Publikováno v: Communications Earth & Environment, Vol 3, Iss 1, Pp 1-9 (2022)
The chemical, physical and optical properties of biomass burning aerosols are substantially altered during plume transport from Southern Africa over the southeast Atlantic, which leads to fewer but more absorptive aerosols in the marine boundary laye
Externí odkaz: https://doaj.org/article/0151c30e42fa4804ad3baeb8c5965a4f
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2
Akademický článek
NASA NeMO-Net's Convolutional Neural Network: Mapping Marine Habitats with Spectrally Heterogeneous Remote Sensing Imagery
Autor: Alan S. Li, Ved Chirayath, Michal Segal-Rozenhaimer, Juan L. Torres-Perez, Jarrett van den Bergh
Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5115-5133 (2020)
Recent advances in machine learning and computer vision have enabled increased automation in benthic habitat mapping through airborne and satellite remote sensing. Here, we applied deep learning and neural network architectures in NASA NeMO-Net, a no
Externí odkaz: https://doaj.org/article/af3aae93efe844f69eec1a05b1d2f857
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3
Akademický článek
Using Convolutional Neural Networks for Cloud Detection on VENμS Images over Multiple Land-Cover Types
Autor: Ondřej Pešek, Michal Segal-Rozenhaimer, Arnon Karnieli
Publikováno v: Remote Sensing, Vol 14, Iss 20, p 5210 (2022)
In most parts of the electromagnetic spectrum, solar radiation cannot penetrate clouds. Therefore, cloud detection and masking are essential in image preprocessing for observing the Earth and analyzing its properties. Because clouds vary in size, sha
Externí odkaz: https://doaj.org/article/7ba590a0866d43f48c360e47ee882924
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4
Akademický článek
NeMO-Net – Gamifying 3D Labeling of Multi-Modal Reference Datasets to Support Automated Marine Habitat Mapping
Autor: Jarrett van den Bergh, Ved Chirayath, Alan Li, Juan L. Torres-Pérez, Michal Segal-Rozenhaimer
Publikováno v: Frontiers in Marine Science, Vol 8 (2021)
NASA NeMO-Net, The Neural Multimodal Observation and Training Network for global coral reef assessment, is a convolutional neural network (CNN) that generates benthic habitat maps of coral reefs and other shallow marine ecosystems. To segment and cla
Externí odkaz: https://doaj.org/article/5e2ede03068841858ce44cc2a99e0967
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5
Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties
Autor: Samuel E. LeBlanc, Michal Segal-Rozenhaimer, Jens Redemann, Connor Flynn, Roy R. Johnson, Stephen E. Dunagan, Robert Dahlgren, Jhoon Kim, Myungje Choi, Arlindo da Silva, Patricia Castellanos, Qian Tan, Luke Ziemba, Kenneth Lee Thornhill, Meloë Kacenelenbogen
Publikováno v: Atmospheric Chemistry and Physics. 22:11275-11304
Aerosol particles can be emitted, transported, removed, or transformed, leading to aerosol variability at scales impacting the climate (days to years and over hundreds of kilometers) or the air quality (hours to days and from meters to hundreds of ki
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6190406313b755dc669af55985874ee8
https://doi.org/10.5194/acp-22-11275-2022
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6
Seasonal variations in fire conditions are important drivers in the trend of aerosol optical properties over the south-eastern Atlantic
Autor: Haochi Che, Michal Segal-Rozenhaimer, Lu Zhang, Caroline Dang, Paquita Zuidema, Arthur J. Sedlacek III, Xiaoye Zhang, Connor Flynn
Publikováno v: Atmospheric Chemistry and Physics. 22:8767-8785
From June to October, southern Africa produces one-third of the global biomass burning (BB) emissions by widespread fires. BB aerosols are transported westward over the south-eastern Atlantic with the mid-tropospheric winds, resulting in significant
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f82f705a96879bfed8a9afaed95a28ce
https://doi.org/10.5194/acp-22-8767-2022
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10
Light absorption by brown carbon over the South-East Atlantic Ocean
Autor: Lu Zhang, Michal Segal-Rozenhaimer, Haochi Che, Caroline Dang, Arthur J. Sedlacek III, Ernie R. Lewis, Amie Dobracki, Jenny P. S. Wong, Paola Formenti, Steven G. Howell, Athanasios Nenes
Publikováno v: Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics, European Geosciences Union, 2022, 22, pp.9199-9213. ⟨10.5194/acp-22-9199-2022⟩
Biomass burning emissions often contain brown carbon (BrC), which represents a large family of light-absorbing organics that are chemically complex, thus making it difficult to estimate their absorption of incoming solar radiation, resulting in large
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::033bcdd8defbb7e0dd5bc654412eabb3
https://acp.copernicus.org/articles/22/9199/2022/
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