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Conference Paper: Consistent estimations of land surface temperature, emissivity and upwelling longwave radiation from suomi NPP viirs data

TitleConsistent estimations of land surface temperature, emissivity and upwelling longwave radiation from suomi NPP viirs data
Authors
KeywordsLand surface temperature
Longwave radiation
Surface emissivity
VIIRS
Issue Date2017
Citation
International Geoscience and Remote Sensing Symposium (IGARSS), 2017, v. 2017-July, p. 3961-3964 How to Cite?
AbstractLand 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 Identifierhttp://hdl.handle.net/10722/316487

 

DC FieldValueLanguage
dc.contributor.authorMa, Han-
dc.contributor.authorLiang, Shunlin-
dc.date.accessioned2022-09-14T11:40:34Z-
dc.date.available2022-09-14T11:40:34Z-
dc.date.issued2017-
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS), 2017, v. 2017-July, p. 3961-3964-
dc.identifier.urihttp://hdl.handle.net/10722/316487-
dc.description.abstractLand 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.languageeng-
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)-
dc.subjectLand surface temperature-
dc.subjectLongwave radiation-
dc.subjectSurface emissivity-
dc.subjectVIIRS-
dc.titleConsistent estimations of land surface temperature, emissivity and upwelling longwave radiation from suomi NPP viirs data-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IGARSS.2017.8127867-
dc.identifier.scopuseid_2-s2.0-85041808112-
dc.identifier.volume2017-July-
dc.identifier.spage3961-
dc.identifier.epage3964-

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