40 4 2015 4 GeomaticsandInformationScienceofWuhanUniversity Vol.40No.4 Apr.2015 DOI:10.13203/j.whugis20130733 :1671-8860(2015)04-0487-06 Landsat 1,2 1,2 3 1,,350108 2,,350108 3,,350001 :,Jiménez-Mu oz Sobrino (SC) SC 2003 LandsatTM, ETM+ SC 2009,,, Landsat5/7/8 2003 2009, 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], 1.1 2003, 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) :2013-12-02 : (2013BAC08B01-05) :,,, E-mail:hxu@fzu.edu.cn
488 2015 4,L sensor (W/(m 2 sr μm));ε ;T sensor (K);K 1 K 2 ;λ : 0.9842, 0.9763, 0.9337, ;c 1 c 2 Planck, 1.19104 10 8 W μm 4 /(m 2 sr) 14387.7μm K; ψ 1 ψ 2 ψ 3 w λmax λf(λ)dλ λ min λe = λmax f(λ)dλ λ min,f(λ) λmin 1.2 2009 (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), 2009 2003 1.3 ε Mu oz Sobrino SC, TM/ ETM+,ε 3.1 [6], SC, Landsat,Landsat8 TIRS, TIRS10 TIRS11, MODIS [7,8] Nichol ε TIRS10 : 0.9816, 0.9722, 0.9212, 0.9908;TIRS11 0.9902 2 Jiménez-, : ψ 1 = p11w2 +p12w Landsat5 7 8 +p13 烄 ψ 2 = p21w2 +p22w +p23 (5), 2000-05-04 烅烆 ψ 3 = p31w2 +p32w 2001-05-23 2002-05-26 2010-10-24 2013-08-04 +p33,pij ( i,j= 1,2,3) w ( (USGS) 2014-, TM 6, 02-17 ), 1 (26 4 39 λe (2), N,119 17 24 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
40 4 : Landsat 489 1 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 11.45 607.76 1260.56 2010-05-24 1.399 0.14714-0.15583 1.12340 LandsatETM+ 666.09 1282.71-1.18360-0.37607-0.52894-0.04554 1.87190-0.39071 2000-05-04 11.45 1.270 0.04597 0.06269 1.00818-0.32297-2.16801 0.55698-0.06397 1.69324 0.45747 2001-05-23 11.269 2.564 0.04597 0.06269 1.00818-0.32297-2.16801 0.55698-0.06397 1.69324 0.45747 2002-05-26 11.45 2.416 0.06518 0.00683 1.02717 Landsat-8-0.53003-1.25866 0.10490-0.01965 1.36947-0.24310 2013-08-04 τ L L TIRS10 10.90 774.89 1321.08 4.180 0.44938 4.12081 6.13773 TIRS11 12.01 480.89 1201.14 0.31157 4.86753 6.74809 :w pij (5), pij ( 2) 2000-05-04 2 SC Tab.2 ComparisonBetweeninSitu-measuredandSC-retrievedLSTs λ/ μ m / 31.94 ETM+ 6 2001-05-23 / 2003 11.45 32.46 0.52 2009 SAFREE402 11.45 32.04 0.10 31.54 ETM+ 6 2002-05-26 2003 11.269 37.22 5.68 2009 SAFREE402 11.269 33.16 1.62 39.65 ETM+ 6 2010-05-24 2003 11.45 40.59 0.94 2009 TIGR1761 11.45 39.15-0.50 36.93 TM6 2013-08-04 2003 11.45 35.90-1.03 2009 TIGR1761 11.45 35.79-1.14 60.57 TIRS10 2009 57.80-2.77 TIRS11 2009 64.20 3.63 TIRS(10+11)/2 61.00 0.43-0.51 1.20 : ( ) ; 3.2 2003 2009 2 ETM+ 2009 TM,2003 0.41, 2009, 0.74 ; 2003 TM 2003 2.38, 2009 2009 ETM+ [3,5]
490 2015 4 3.3 2009 Planck 0.5 ;, Landsat (4) Landsat Planck,Planck 1.01, Landsat, 3, 1.12, 0.11 3 λ Tab.3 ComparisonBetweentheLSTsBasedonDiferentBrightness-temperaturesCalculationFormulas, λvalues,andatmosphericfunctions λ λ/ μ m / λ/ μ m / / 2000-05-04 SAFREE402 0.10 ETM+6 Planck SAFREE402 11.45 0.10 11.269[5] SAFREE402-0.71 STD66 0.32 Landsat -0.42 11.335 [9,12-13] SAFREE402-0.19 TIGR1761 0.36 11.450 [10] SAFREE402 0.10 TIGR2311-0.10 TIGR61 0.23 2001-05-23 SAFREE402 2.44 ETM+6 Planck SAFREE402 11.45 2.44 11.269[5] SAFREE402 1.62 STD66 3.76 Landsat 1.91 11.335 [9,12-13] SAFREE402 1.91 TIGR1761 4.28 11.450 [11] SAFREE402 2.44 TIGR2311 3.08 TIGR61 3.33 2002-05-26 SAFREE402-2.23 ETM+6 Planck TIGR1761 11.45-0.50 11.269[5] TIGR1761-1.37 STD66-1.12 Landsat -1.02 11.335 [9,12-13] TIGR1761-1.06 TIGR1761-0.50 3.4 λ 11.450 [11] TIGR1761-0.50 TIGR2311-1.79, 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], (1.23,2014 2 ), USGS Landsat Landsat8 11.45μm [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,, TIRS11 3.5 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 -2.77 Jiménez-Mu oz Sobrino
40 4 : Landsat 491, w 2g/cm 2, 4688,doi:10.1029/2003JD003480 1.5~3, [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):3719-3746, [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):339-349 2) 4 327 Jiménez-Mu ozz Sobrino SC [7] ICESS.MODIS UCSB Emissivity Library [OL]., htp://www.icess.ucsb.edu/modis/emis/html/, 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, 547-556 [9] λ, BarsiJA,SchotJR,PaluconiFD,etal.Valida- tionofa Web-based Atmospheric Correction Tool TM6,2003 2009 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):613-621 [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):893-903 [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):547-555
492 2015 4 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.Email:hxu@fzu.edu.cn Foundationsupport:TheNationalKeyTechnologyResearchandDevelopmentProgram,No.2013BAC08B01-05.