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- Publisher Website: 10.1109/IGARSS.2017.8127867
- Scopus: eid_2-s2.0-85041808112
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Conference Paper: Consistent estimations of land surface temperature, emissivity and upwelling longwave radiation from suomi NPP viirs data
Title | Consistent estimations of land surface temperature, emissivity and upwelling longwave radiation from suomi NPP viirs data |
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Authors | |
Keywords | Land surface temperature Longwave radiation Surface emissivity VIIRS |
Issue Date | 2017 |
Citation | International Geoscience and Remote Sensing Symposium (IGARSS), 2017, v. 2017-July, p. 3961-3964 How to Cite? |
Abstract | Land surface emissivity, Land Surface Temperature (LST), and Upwelling Longwave radiation (LWUP) are critical parameters for studying the energy and water balance between the atmosphere and land surfaces. Due to the lack of reliable observations, a constant emissivity value or very simple parameterizations are adopted in land surface modeling. Retrieval of time-series dynamic surface emissivity is a solution to split window technique which is used to estimate LST. By exploiting both the reflective and emissive bands observations from VIIRS sensor, this study estimated the time-series LST, emissivity and longwave radiation based on a unified radiative transfer model, and presented the preliminary results of the algorithm by comparisons with the current VIIRS LST product and the field measurements. |
Persistent Identifier | http://hdl.handle.net/10722/316487 |
DC Field | Value | Language |
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dc.contributor.author | Ma, Han | - |
dc.contributor.author | Liang, Shunlin | - |
dc.date.accessioned | 2022-09-14T11:40:34Z | - |
dc.date.available | 2022-09-14T11:40:34Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | International Geoscience and Remote Sensing Symposium (IGARSS), 2017, v. 2017-July, p. 3961-3964 | - |
dc.identifier.uri | http://hdl.handle.net/10722/316487 | - |
dc.description.abstract | Land surface emissivity, Land Surface Temperature (LST), and Upwelling Longwave radiation (LWUP) are critical parameters for studying the energy and water balance between the atmosphere and land surfaces. Due to the lack of reliable observations, a constant emissivity value or very simple parameterizations are adopted in land surface modeling. Retrieval of time-series dynamic surface emissivity is a solution to split window technique which is used to estimate LST. By exploiting both the reflective and emissive bands observations from VIIRS sensor, this study estimated the time-series LST, emissivity and longwave radiation based on a unified radiative transfer model, and presented the preliminary results of the algorithm by comparisons with the current VIIRS LST product and the field measurements. | - |
dc.language | eng | - |
dc.relation.ispartof | International Geoscience and Remote Sensing Symposium (IGARSS) | - |
dc.subject | Land surface temperature | - |
dc.subject | Longwave radiation | - |
dc.subject | Surface emissivity | - |
dc.subject | VIIRS | - |
dc.title | Consistent estimations of land surface temperature, emissivity and upwelling longwave radiation from suomi NPP viirs data | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/IGARSS.2017.8127867 | - |
dc.identifier.scopus | eid_2-s2.0-85041808112 | - |
dc.identifier.volume | 2017-July | - |
dc.identifier.spage | 3961 | - |
dc.identifier.epage | 3964 | - |