Remote sensing of atmospheric aerosol composition and species:
This Spotlight presents the state-of-the-art of aerosol remote sensing, including remote sensing principles and satellite- and ground-based approaches. The mechanism and theories are introduced along with the component mixing rules, e.g., Maxwell-Garnett, Bruggeman, and volume-weighted average appro...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bellingham, Washington, USA
SPIE Press
[2019]
|
| Schriftenreihe: | SPIE spotlight series
vol. SL50 |
| Schlagworte: | |
| Online-Zugang: | FHD01 Volltext |
| Zusammenfassung: | This Spotlight presents the state-of-the-art of aerosol remote sensing, including remote sensing principles and satellite- and ground-based approaches. The mechanism and theories are introduced along with the component mixing rules, e.g., Maxwell-Garnett, Bruggeman, and volume-weighted average approaches. Recent advances in aerosol-component methods are discussed, focusing on composition schemes, inversion methods, and validation results. The final section looks at the remote sensing applications of atmospheric aerosol composition and species |
| Beschreibung: | "SPIE Digital Library."--Website |
| Beschreibung: | 1 Online-Ressource (viii, 47 Seiten) |
| ISBN: | 9781510630437 |
| DOI: | 10.1117/3.2537401 |
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| 100 | 1 | |a Li, Zhengqiang |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Remote sensing of atmospheric aerosol composition and species |c by Zhengqiang Li, Yisong Xie, Ying Zhang, and Lei Li |
| 264 | 1 | |a Bellingham, Washington, USA |b SPIE Press |c [2019] | |
| 300 | |a 1 Online-Ressource (viii, 47 Seiten) | ||
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| 500 | |a "SPIE Digital Library."--Website | ||
| 505 | 8 | |a Preface -- List of acronyms -- 1. Introduction: 1.1. Background; 1.2. Principles; 1.3. Historic perspective and recent advancement -- 2. Mechanism of aerosol-composition remote sensing: 2.1. Optical absorbing components; 2.2. Optical scattering components; 2.3. Mixing rules; 2.4. Aerosol-composition model -- 3. Methodology of aerosol-composition remote sensing: 3.1. Retrieval theory; 3.2. Forward modeling; 3.3. Retrieval scheme -- 4. Applications: 4.1. Inter-comparison with in situ measurements; 4.2. Ground-based remote sensing; 4.3. Satellite remote sensing -- Acknowledgments -- References | |
| 520 | |a This Spotlight presents the state-of-the-art of aerosol remote sensing, including remote sensing principles and satellite- and ground-based approaches. The mechanism and theories are introduced along with the component mixing rules, e.g., Maxwell-Garnett, Bruggeman, and volume-weighted average approaches. Recent advances in aerosol-component methods are discussed, focusing on composition schemes, inversion methods, and validation results. The final section looks at the remote sensing applications of atmospheric aerosol composition and species | ||
| 650 | 4 | |a Remote sensing | |
| 650 | 4 | |a Atmospheric aerosols / Measurement | |
| 650 | 4 | |a Atmospheric chemistry | |
| 700 | 1 | |a Xie, Yisong |e Verfasser |4 aut | |
| 700 | 1 | |a Zhang, Ying |e Verfasser |4 aut | |
| 700 | 1 | |a Li, Lei |e Verfasser |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, epub |z 978-1-5106-3044-4 |
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Datensatz im Suchindex
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| author | Li, Zhengqiang Xie, Yisong Zhang, Ying Li, Lei |
| author_facet | Li, Zhengqiang Xie, Yisong Zhang, Ying Li, Lei |
| author_role | aut aut aut aut |
| author_sort | Li, Zhengqiang |
| author_variant | z l zl y x yx y z yz l l ll |
| building | Verbundindex |
| bvnumber | BV046091917 |
| collection | ZDB-50-SPI |
| contents | Preface -- List of acronyms -- 1. Introduction: 1.1. Background; 1.2. Principles; 1.3. Historic perspective and recent advancement -- 2. Mechanism of aerosol-composition remote sensing: 2.1. Optical absorbing components; 2.2. Optical scattering components; 2.3. Mixing rules; 2.4. Aerosol-composition model -- 3. Methodology of aerosol-composition remote sensing: 3.1. Retrieval theory; 3.2. Forward modeling; 3.3. Retrieval scheme -- 4. Applications: 4.1. Inter-comparison with in situ measurements; 4.2. Ground-based remote sensing; 4.3. Satellite remote sensing -- Acknowledgments -- References |
| ctrlnum | (OCoLC)1112142524 (DE-599)BVBBV046091917 |
| doi_str_mv | 10.1117/3.2537401 |
| format | Electronic eBook |
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| id | DE-604.BV046091917 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:35:01Z |
| institution | BVB |
| isbn | 9781510630437 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031472883 |
| oclc_num | 1112142524 |
| open_access_boolean | |
| owner | DE-1050 |
| owner_facet | DE-1050 |
| physical | 1 Online-Ressource (viii, 47 Seiten) |
| psigel | ZDB-50-SPI |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | SPIE Press |
| record_format | marc |
| series2 | SPIE spotlight series |
| spelling | Li, Zhengqiang Verfasser aut Remote sensing of atmospheric aerosol composition and species by Zhengqiang Li, Yisong Xie, Ying Zhang, and Lei Li Bellingham, Washington, USA SPIE Press [2019] 1 Online-Ressource (viii, 47 Seiten) txt rdacontent c rdamedia cr rdacarrier SPIE spotlight series vol. SL50 "SPIE Digital Library."--Website Preface -- List of acronyms -- 1. Introduction: 1.1. Background; 1.2. Principles; 1.3. Historic perspective and recent advancement -- 2. Mechanism of aerosol-composition remote sensing: 2.1. Optical absorbing components; 2.2. Optical scattering components; 2.3. Mixing rules; 2.4. Aerosol-composition model -- 3. Methodology of aerosol-composition remote sensing: 3.1. Retrieval theory; 3.2. Forward modeling; 3.3. Retrieval scheme -- 4. Applications: 4.1. Inter-comparison with in situ measurements; 4.2. Ground-based remote sensing; 4.3. Satellite remote sensing -- Acknowledgments -- References This Spotlight presents the state-of-the-art of aerosol remote sensing, including remote sensing principles and satellite- and ground-based approaches. The mechanism and theories are introduced along with the component mixing rules, e.g., Maxwell-Garnett, Bruggeman, and volume-weighted average approaches. Recent advances in aerosol-component methods are discussed, focusing on composition schemes, inversion methods, and validation results. The final section looks at the remote sensing applications of atmospheric aerosol composition and species Remote sensing Atmospheric aerosols / Measurement Atmospheric chemistry Xie, Yisong Verfasser aut Zhang, Ying Verfasser aut Li, Lei Verfasser aut Erscheint auch als Online-Ausgabe, epub 978-1-5106-3044-4 Erscheint auch als Online-Ausgabe, mobi 978-1-5106-3045-1 https://doi.org/10.1117/3.2537401 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Li, Zhengqiang Xie, Yisong Zhang, Ying Li, Lei Remote sensing of atmospheric aerosol composition and species Preface -- List of acronyms -- 1. Introduction: 1.1. Background; 1.2. Principles; 1.3. Historic perspective and recent advancement -- 2. Mechanism of aerosol-composition remote sensing: 2.1. Optical absorbing components; 2.2. Optical scattering components; 2.3. Mixing rules; 2.4. Aerosol-composition model -- 3. Methodology of aerosol-composition remote sensing: 3.1. Retrieval theory; 3.2. Forward modeling; 3.3. Retrieval scheme -- 4. Applications: 4.1. Inter-comparison with in situ measurements; 4.2. Ground-based remote sensing; 4.3. Satellite remote sensing -- Acknowledgments -- References Remote sensing Atmospheric aerosols / Measurement Atmospheric chemistry |
| title | Remote sensing of atmospheric aerosol composition and species |
| title_auth | Remote sensing of atmospheric aerosol composition and species |
| title_exact_search | Remote sensing of atmospheric aerosol composition and species |
| title_full | Remote sensing of atmospheric aerosol composition and species by Zhengqiang Li, Yisong Xie, Ying Zhang, and Lei Li |
| title_fullStr | Remote sensing of atmospheric aerosol composition and species by Zhengqiang Li, Yisong Xie, Ying Zhang, and Lei Li |
| title_full_unstemmed | Remote sensing of atmospheric aerosol composition and species by Zhengqiang Li, Yisong Xie, Ying Zhang, and Lei Li |
| title_short | Remote sensing of atmospheric aerosol composition and species |
| title_sort | remote sensing of atmospheric aerosol composition and species |
| topic | Remote sensing Atmospheric aerosols / Measurement Atmospheric chemistry |
| topic_facet | Remote sensing Atmospheric aerosols / Measurement Atmospheric chemistry |
| url | https://doi.org/10.1117/3.2537401 |
| work_keys_str_mv | AT lizhengqiang remotesensingofatmosphericaerosolcompositionandspecies AT xieyisong remotesensingofatmosphericaerosolcompositionandspecies AT zhangying remotesensingofatmosphericaerosolcompositionandspecies AT lilei remotesensingofatmosphericaerosolcompositionandspecies |