Detecting Layer Height of Smoke and Dust Aerosols Over Vegetated Land and Water Surfaces via Oxygen Absorption Bands
| dc.contributor.author | Zeng, Jing | |
| dc.contributor.author | Xu, Xiaoguang | |
| dc.contributor.author | Wang, Jun | |
| dc.contributor.author | Wang, Yi | |
| dc.contributor.author | Chen, Xi | |
| dc.contributor.author | Lu, Zhendong | |
| dc.contributor.author | Torres, Omar | |
| dc.contributor.author | Reid, Jeffrey S. | |
| dc.contributor.author | Miller, Steven D. | |
| dc.date.accessioned | 2021-03-10T17:42:38Z | |
| dc.date.available | 2021-03-10T17:42:38Z | |
| dc.date.issued | 2021-02-17 | |
| dc.description | IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 26 Sept.-2 Oct. 2020,Waikoloa, HI, USA | en_US |
| dc.description.abstract | We present an algorithm for retrieving aerosol layer height (ALH) and aerosol optical depth (AOD) for smoke and dust over vegetated land and water surfaces from measurements of the Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR). Our algorithm uses EPIC atmospheric window bands to determine AOD and then takes advantage of oxygen A and B bands to derive ALH. We applied this algorithm on several dust and smoke events. Validation shows our results are of high accuracy. | en_US |
| dc.description.uri | https://ieeexplore.ieee.org/abstract/document/9323130 | en_US |
| dc.format.extent | 4 pages | en_US |
| dc.genre | conference papers and proceedings | en_US |
| dc.identifier | doi:10.13016/m2awgw-5ps9 | |
| dc.identifier.citation | J. Zeng et al., "Detecting Layer Height of Smoke and Dust Aerosols Over Vegetated Land and Water Surfaces via Oxygen Absorption Bands," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 5588-5591, doi: 10.1109/IGARSS39084.2020.9323130. | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/IGARSS39084.2020.9323130 | |
| dc.identifier.uri | http://hdl.handle.net/11603/21142 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Joint Center for Earth Systems Technology | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.rights | Public Domain Mark 1.0 | * |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
| dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
| dc.title | Detecting Layer Height of Smoke and Dust Aerosols Over Vegetated Land and Water Surfaces via Oxygen Absorption Bands | en_US |
| dc.type | Text | en_US |