,L sensor (W/(m 2 sr μm));ε ;T sensor (K);K 1 K 2 ;λ : , , , ;c 1 c 2 Planck, W μm 4 /(m 2 sr) μm K; ψ

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1 GeomaticsandInformationScienceofWuhanUniversity Vol.40No.4 Apr.2015 DOI: /j.whugis : (2015) Landsat 1,2 1,2 3 1,, ,, ,, :,Jiménez-Mu oz Sobrino (SC) SC 2003 LandsatTM, ETM+ SC 2009,,, Landsat5/7/ , Planck λ,2009 ETM+, Planck USGS λ, SC Landsat8, TIRS10 : ; ; :P237.3 :A (landsurfacetemperature), [1],,,,, Landsat,, Jiménez-Mu oz SobrinoSC,,Landsat, [2-4], Jiménez-Mu oz Sobrino (singlechannelmeth- od,sc) [3], , TM Landsat8 1 SC Jiménez-Mu oz Sobrino [3], ETM 2003, : + TM T s =γ [ε -1 ( ψ 1L sensor+ψ )+ψ ]+δ (1) 2 3 Jiménez-Mu oz Sobrino,γ δ Planck, 2009, : ETM+, γ = c2lsensor λ 4 L 1-1 sensor+ (2), 2003 TM { T 2 sensor [ c 1 λ ]}, δ = -γl sensor+t sensor (3) T sensor = K 2 /ln(k 1 /L sensor+1) (4) : : (2013BAC08B01-05) :,,, hxu@fzu.edu.cn

2 ,L sensor (W/(m 2 sr μm));ε ;T sensor (K);K 1 K 2 ;λ : , , , ;c 1 c 2 Planck, W μm 4 /(m 2 sr) μm K; ψ 1 ψ 2 ψ 3 w λmax λf(λ)dλ λ min λe = λmax f(λ)dλ λ min,f(λ) λmin (6) T sensor =c 2 /{λln[c 1 /(λ 5 L sensor )+1]} (9),TM b γ 1256,ETM+ b γ 1277, (9) Planck (4), ε Mu oz Sobrino SC, TM/ ETM+,ε 3.1 [6], SC, Landsat,Landsat8 TIRS, TIRS10 TIRS11, MODIS [7,8] Nichol ε TIRS10 : , , , ;TIRS Jiménez-, : ψ 1 = p11w2 +p12w Landsat p13 烄 ψ 2 = p21w2 +p22w +p23 (5), 烅烆 ψ 3 = p31w2 +p32w p33,pij ( i,j= 1,2,3) w ( (USGS) 2014-, TM 6, ), 1 ( λe (2), N, E), (w) (NCEP) : [9] 1 SC Landsat8TIRS, TIRS, USGS ;λmax, TM [10], SC Landsat8, 2009,Jiménez-Mu oz Sobrino SC Landsat8 [5],, ( 1), (5) ψ 1 ψ 2 ψ 3, 1) 5 ETM+ 6 [5], :, ETM+6 TM6 ψ 1 = 1 /τ 烄 ψ 2) (7)~(9) (2)~(4) γ 2 =-L -L /τ (10) 烅 δ ψ T sensor : 3 = L 烆,τ ;L L γ T 2 sensor/(b γl sensor ) (7) ; MODTRAN δ T sensor-t 2 sensor/b γ (8), MODTRAN, TIRS10 11, 1.0~4.2g/cm 2 τ L L, 1 3 2,,SC,SC -0.51, 1.2

3 40 4 : Landsat Tab.1 TheParametersUsedforRetrievingLSTfromtheTestImages λ/ μ m K1/(W/(m 2 μm 2 sr)) K2/K w/(g/cm 2 ) pij ( i = 1,2,3,j = 1,2,3) LandsatTM LandsatETM Landsat τ L L TIRS TIRS :w pij (5), pij ( 2) SC Tab.2 ComparisonBetweeninSitu-measuredandSC-retrievedLSTs λ/ μ m / ETM / SAFREE ETM SAFREE ETM TIGR TM TIGR TIRS TIRS TIRS(10+11)/ : ( ) ; ETM TM, , 2009, 0.74 ; 2003 TM , ETM+ [3,5]

4 Planck 0.5 ;, Landsat (4) Landsat Planck,Planck 1.01, Landsat, 3, 1.12, λ Tab.3 ComparisonBetweentheLSTsBasedonDiferentBrightness-temperaturesCalculationFormulas, λvalues,andatmosphericfunctions λ λ/ μ m / λ/ μ m / / SAFREE ETM+6 Planck SAFREE [5] SAFREE STD Landsat [9,12-13] SAFREE TIGR [10] SAFREE TIGR TIGR SAFREE ETM+6 Planck SAFREE [5] SAFREE STD Landsat [9,12-13] SAFREE TIGR [11] SAFREE TIGR TIGR SAFREE ETM+6 Planck TIGR [5] TIGR STD Landsat [9,12-13] TIGR TIGR λ [11] TIGR TIGR , λ 11.45μm 3,,,, 3 SAFREE402, λ 2009 TIGR2311 TIGR61 STD66 TIGR1761, [5] 3.6 Landsat8, [11] [9,12-13] 2 Landsat8 3, Jiménez-Mu oz Sobrino [5] USGS 2013 [10], (1.23, ), USGS Landsat Landsat μm [11] (1.01 ), [9,12-13] λ (1.05 ) λ, ETM+ 6, λ (11.296μm) λ (11.45μm) 0.8 TIRS 10~12μm, 3 5,λ, TIRS, TIRS11,USGS,TIRS10 TIRS11,, TIRS ETM+ 12μm TIRS10 10μm 2009 SC 5, TIRS10, TIGR61 TIGR1761 TIGR2311,Landsat8 ; 4.18 STD66 MODTRAN 66 g/cm 2 Jiménez-Mu oz Sobrino, ;SAFREE402 w 3 g/cm 2,SC 402, [5],TIRS 10 Jiménez-Mu oz Sobrino Jiménez-Mu oz Sobrino

5 40 4 : Landsat 491, w 2g/cm 2, 4688,doi: /2003JD ~3, [4] QinZ,KarnieliA,BerlinerP.A Mono-window Al- w 4.18g/cm 2 2g/cm 2, gorithm for Retrieving Land Surface Temperature from LandsatTM DataandIts Applicationtothe 1.5, Israel-EgyptBorderRegion[J].InternationalJour- SC Landsat8 nalof RemoteSensing,2001,22(18): , [5] Jiménez-Mu ozjc,sobrinocj,soriaja,etal.,landsat8 SC RevisionoftheSingle-channelAlgorithmforLand TIRS10 SurfaceTemperatureRetrievalfrom LandsatTher-, TIRS10 11 mal-infrareddata [J].IEEE Transactionson Geo-, 0.43 ( scienceand RemoteSensing,2009,47(1): ) Jiménez-Mu ozz Sobrino SC [7] ICESS.MODIS UCSB Emissivity Library [OL]., htp:// em.html,2013 [8] NicholJ.An Emissivity Modulation Methodfor 2009 SC ETM SpatialEnhancementofThermalSateliteImagesin + 6, Urban HeatIslandAnalysis [J].Photogrammetric 2003 ETM+ Engineering and Remote Sensing,2009,75(5): 2009, [9] λ, BarsiJA,SchotJR,PaluconiFD,etal.Valida- tionofa Web-based Atmospheric Correction Tool TM6, SC forsinglethermalbandinstruments [C].SPIE, SanDiego,CA,2005,Landsat8 [10] USGS.Landsat8 (L8)OperationalLandImager, SC (OLI)and ThermalInfraredSensor (TIRS)Cali- TIRS10, brationnotices [OL].htp://landsat.usgs.gov/ TIRS10 11 calibration notices.php,2013, [11] USGS. Whatarethe Band Designationsforthe [1] Georgescu M, Moustaoui M, Mahalov A,etal. Summer-timeClimateImpactsofProjected Mega- politanexpansionin Arizona [J].NatureClimate Change,2013,3(1):37-41 [2] NicholJ.RemoteSensingofUrban HeatIslandsby Dayand Night [J].Photogrammetric Engineering and RemoteSensing,2005,71(5): [3] Jiménez-Mu ozj C,SobrinoJ A.A Generalized Single-channelMethodforRetrievingLandSurface Temperaturefrom RemoteSensingData [J].Jour- nalof Geophysical Research,2003,108(D22): [6] SobrinoJA,Jiménez-Mu ozjc,soriag,etal. Land Surface Emissivity Retrievalfrom Diferent VNIRandTIRSensors[J].IEEE Transactionson Geoscienceand RemoteSensing,2008,46(2):316- Landsat Satelites [OL].htp://landsat.usgs. gov/ band designations landsat satelites.php, 2013 [12]ChanderG,Markham BL,HelderDL.Summary ofcurrentradiometriccalibrationcoeficientsfor Landsat MSS,TM,ETM+,andEO-1 ALISen- sors [J].RemoteSensingof Environment,2009, 113(5): [13]ColC,GalveJ M,SánchezJ M,etal.Validation oflandsat7/etm+ ThermalBandCalibrationand AtmosphericCorrection with Ground-Based Meas- urements [J].IEEE Transactionson Geoscience and RemoteSensing,2010,48(1):

6 SomeIssuesinLandSurfaceTemperatureRetrievalofLandsat ThermalDatawiththeSingle-channelAlgorithm XU Hanqiu 1 LIN Zhongli 1,2 PAN Weihua 3 1 ColegeofEnvironmentandResources,FuzhouUniversity,Fuzhou350108,China 2 FujianProvincialKeyLaboratoryofRemoteSensingofSoilErosion,Fuzhou350108,China 3 InstituteofMeteorologicalScienceofFujianProvince,Fuzhou350001,China Abstract:Thesingle-channelalgorithm (SC)developedbyJiménez-Mu ozandsobrinoin2003has beenfrequentlyusedinretrievinglandsurfacetemperature(lst).however,manystudiesemployed thelandsattm satmosphericparametersforthelstretrievalofetm+ thermaldatabecausethe parametersforetm+ werenotprovidedin2003.althoughjiménez-mu ozandsobrinorevisedthe SCalgorithmandprovidedtheatmosphericparametersspecializedforETM+in2009,suchmisusing stilnotchanges.therefore,thispapercomparedthelstsretrievedfrom LandsatTM/ETM +/ TIRSthermaldatawiththeSC s2003and2009versions,discussedthecorrectusageoftheplanck functionandwavelengthvalue,andexploredthepotentialofthescforretrievinglstfrom Landsat 8TIRSdata.Resultsshowthatthe2009versioncanachievehigheraccuracyaveragelyforETM+ thermaldatathanthe2003version,whencalculatedusingwavelengthvalueprovidedby USGSand thebrightnesstemperaturecomputedwithplanckfunction.thisstudyalsorevealsthatatthisstage thelstoflandsat8couldberetrievedusingthesc with TIRSband10.Thiscouldbeachieved whentheatmosphericwatervaporcontentisrelativelylow. Keywords:single-channelalgorithm;landsurfacetemperature;thermal-infraredremotesensing Firstauthor:XU Hanqiu,PhD,professor,specializesinremotesensingofenvironmentandresources. hxu@fzu.edu.cn Foundationsupport:TheNationalKeyTechnologyResearchandDevelopmentProgram,No.2013BAC08B01-05.

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