On the sensitivity of Land Surface Temperature estimates in arid irrigated lands using MODTRAN

Handle URI:
http://hdl.handle.net/10754/620998
Title:
On the sensitivity of Land Surface Temperature estimates in arid irrigated lands using MODTRAN
Authors:
Rosas, Jorge; Houborg, Rasmus; McCabe, M. F. ( 0000-0002-1279-5272 )
Abstract:
Land surface temperature (LST) derived from thermal infrared (TIR) satellite data has been reliably used as a remote indicator of evapotranspiration (ET) and surface moisture status. However, in order to retrieve the ET with an accuracy approaching 10%, LST should be retrieved to within 1 ◦C or better, disregarding other elements of uncertainty. The removal of atmospheric effects is key towards achieving a precise estimation of LST and it requires detailed information on water vapor. The Thermal Infrared Sensor (TIRS) onboard Landsat 8 captures data in two long wave thermal bands with 100-meter resolution. However, the US Geological Survey has reported a calibration problem of TIRS bands caused by stray light, resulting in a higher bias in one of its two bands (4% in band 11, 2% in band 10). Therefore, split-window algorithms for the estimation of LST might not be reliable. Our work will focus on the impact of using different atmospheric profiles (e.g. weather prediction models, satellite) for the estimation of LST derived from MODTRAN by using one of the TIRS bands onboard Landsat 8 (band 10). Sites with in-situ measurements of LST are used as evaluation sources. Comparisons between the measured LST and LST derived based on different atmospheric profile inputs to MODTRAN are carried out from 2 Landsat-overpass days (DOY 153 and 160 2015). Preliminary results show a mean absolute error of around 3 ◦C between in-situ and estimated LST over two different crops (alfalfa and carrot) and bare soil.
KAUST Department:
Water Desalination & Reuse Research Cntr
Conference/Event name:
21st International Congress on Modelling and Simulation
Issue Date:
29-Nov-2015
Type:
Conference Paper
Additional Links:
http://www.mssanz.org.au/modsim2015/F11/rosas.pdf
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorRosas, Jorgeen
dc.contributor.authorHouborg, Rasmusen
dc.contributor.authorMcCabe, M. F.en
dc.date.accessioned2016-10-13T13:55:09Z-
dc.date.available2016-10-13T13:55:09Z-
dc.date.issued2015-11-29-
dc.identifier.urihttp://hdl.handle.net/10754/620998-
dc.description.abstractLand surface temperature (LST) derived from thermal infrared (TIR) satellite data has been reliably used as a remote indicator of evapotranspiration (ET) and surface moisture status. However, in order to retrieve the ET with an accuracy approaching 10%, LST should be retrieved to within 1 ◦C or better, disregarding other elements of uncertainty. The removal of atmospheric effects is key towards achieving a precise estimation of LST and it requires detailed information on water vapor. The Thermal Infrared Sensor (TIRS) onboard Landsat 8 captures data in two long wave thermal bands with 100-meter resolution. However, the US Geological Survey has reported a calibration problem of TIRS bands caused by stray light, resulting in a higher bias in one of its two bands (4% in band 11, 2% in band 10). Therefore, split-window algorithms for the estimation of LST might not be reliable. Our work will focus on the impact of using different atmospheric profiles (e.g. weather prediction models, satellite) for the estimation of LST derived from MODTRAN by using one of the TIRS bands onboard Landsat 8 (band 10). Sites with in-situ measurements of LST are used as evaluation sources. Comparisons between the measured LST and LST derived based on different atmospheric profile inputs to MODTRAN are carried out from 2 Landsat-overpass days (DOY 153 and 160 2015). Preliminary results show a mean absolute error of around 3 ◦C between in-situ and estimated LST over two different crops (alfalfa and carrot) and bare soil.en
dc.relation.urlhttp://www.mssanz.org.au/modsim2015/F11/rosas.pdfen
dc.subjectLand surface temperatureen
dc.subjectMODTRANen
dc.subjectMODISen
dc.subjectAgricultureen
dc.titleOn the sensitivity of Land Surface Temperature estimates in arid irrigated lands using MODTRANen
dc.typeConference Paperen
dc.contributor.departmentWater Desalination & Reuse Research Cntren
dc.conference.date29 Nov to 4 Dec 2015en
dc.conference.name21st International Congress on Modelling and Simulationen
dc.conference.locationGold Coast, Australiaen
dc.eprint.versionPublisher's Version/PDFen
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