메뉴 건너뛰기




Volumn 97, Issue , 2014, Pages 78-88

Modeling diurnal land temperature cycles over Los Angeles using downscaled GOES imagery

Author keywords

Data fusion; Diurnal temperature cycle; Land surface temperature; Temporal resolution; Thermal downscaling; Urban heat island

Indexed keywords

DATA FUSION; ENERGY UTILIZATION; GEOSTATIONARY SATELLITES; LANDFORMS; LEAST SQUARES APPROXIMATIONS; RADIOMETERS; REMOTE SENSING; RISK ASSESSMENT; RISK PERCEPTION; SATELLITE IMAGERY; SUPPORT VECTOR MACHINES; SURFACE MEASUREMENT; SURFACE PROPERTIES; TEMPERATURE DISTRIBUTION; TRACKING RADAR;

EID: 84907164525     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.08.009     Document Type: Article
Times cited : (80)

References (41)
  • 1
    • 84865408436 scopus 로고    scopus 로고
    • Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources
    • Anderson M.C., Allen R.G., Morse A., Kustas W.P. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sens. Environ. 2012, 122:50-65.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 50-65
    • Anderson, M.C.1    Allen, R.G.2    Morse, A.3    Kustas, W.P.4
  • 2
    • 84866125838 scopus 로고    scopus 로고
    • Mapping heatwave health risk at the community level for public health action
    • Buscail C., Upegui E., Viel J.F. Mapping heatwave health risk at the community level for public health action. Int. J. Health Geographics 2012, 11:38. 10.1186/1476-072X-11-38.
    • (2012) Int. J. Health Geographics , vol.11 , pp. 38
    • Buscail, C.1    Upegui, E.2    Viel, J.F.3
  • 3
    • 34548428368 scopus 로고    scopus 로고
    • An overview of the "triangle method" for estimating surface evapotranspiration and soil moisture from satellite imagery
    • Carlson T. An overview of the "triangle method" for estimating surface evapotranspiration and soil moisture from satellite imagery. Sensors 2007, 7(8):1612-1629.
    • (2007) Sensors , vol.7 , Issue.8 , pp. 1612-1629
    • Carlson, T.1
  • 5
    • 84861337489 scopus 로고    scopus 로고
    • Evaluation of six land-surface diurnal temperature cycle models using clear-sky in situ and satellite data
    • Duan S.B., Li Z.L., Wang N., Wu H., Tang B.H. Evaluation of six land-surface diurnal temperature cycle models using clear-sky in situ and satellite data. Remote Sens. Environ. 2012, 124:15-25.
    • (2012) Remote Sens. Environ. , vol.124 , pp. 15-25
    • Duan, S.B.1    Li, Z.L.2    Wang, N.3    Wu, H.4    Tang, B.H.5
  • 6
    • 0036148924 scopus 로고    scopus 로고
    • Forward and inverse modeling of land surface energy balance using surface temperature measurements
    • Friedl M.A. Forward and inverse modeling of land surface energy balance using surface temperature measurements. Remote Sens. Environ. 2002, 79(2-3):344-354.
    • (2002) Remote Sens. Environ. , vol.79 , Issue.2-3 , pp. 344-354
    • Friedl, M.A.1
  • 7
    • 80052699513 scopus 로고    scopus 로고
    • Completion of the 2006 National Land Cover Database for the Conterminous United States
    • Fry J., Xian G., Jin S., Dewitz J., Homer C., Yang L., Barnes C., Herold N., Wickham J. Completion of the 2006 National Land Cover Database for the Conterminous United States. PE&RS 2011, 77(9):858-864.
    • (2011) PE&RS , vol.77 , Issue.9 , pp. 858-864
    • Fry, J.1    Xian, G.2    Jin, S.3    Dewitz, J.4    Homer, C.5    Yang, L.6    Barnes, C.7    Herold, N.8    Wickham, J.9
  • 8
    • 0034992318 scopus 로고    scopus 로고
    • Modelling of diurnal cycles of brightness temperature extracted from METEOSAT data
    • Gottsche F.M., Olesen F.S. Modelling of diurnal cycles of brightness temperature extracted from METEOSAT data. Remote Sens. Environ. 2001, 76(3):337-348.
    • (2001) Remote Sens. Environ. , vol.76 , Issue.3 , pp. 337-348
    • Gottsche, F.M.1    Olesen, F.S.2
  • 9
    • 70249125370 scopus 로고    scopus 로고
    • Modelling the effect of optical thickness on diurnal cycles of land surface temperature
    • Gottsche F.M., Olesen F.S. Modelling the effect of optical thickness on diurnal cycles of land surface temperature. Remote Sens. Environ. 2009, 113(11):2306-2316.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.11 , pp. 2306-2316
    • Gottsche, F.M.1    Olesen, F.S.2
  • 11
    • 0032505147 scopus 로고    scopus 로고
    • Pixel block intensity modulation: adding spatial detail to TM band 6 thermal imagery
    • Guo L.J., Moore J.M. Pixel block intensity modulation: adding spatial detail to TM band 6 thermal imagery. Int. J. Remote Sens. 1998, 19(13):2477-2491.
    • (1998) Int. J. Remote Sens. , vol.19 , Issue.13 , pp. 2477-2491
    • Guo, L.J.1    Moore, J.M.2
  • 13
    • 62749167889 scopus 로고    scopus 로고
    • Disaggregation of GOES land surface temperatures using surface emissivity
    • Inamdar A.K., French A. Disaggregation of GOES land surface temperatures using surface emissivity. Geophys. Res. Lett. 2009, 36:L02408. 10.1029/2008GL036544.
    • (2009) Geophys. Res. Lett. , vol.36 , pp. L02408
    • Inamdar, A.K.1    French, A.2
  • 14
    • 45749083375 scopus 로고    scopus 로고
    • Land surface temperature retrieval at high spatial and temporal resolutions over the southwestern United States
    • Inamdar A.K., French A., Hook S., Vaughan G., Luckett W. Land surface temperature retrieval at high spatial and temporal resolutions over the southwestern United States. J. Geophys. Res. - Atmos. 2008, 113:D07107. 10.1029/2007JD009048.
    • (2008) J. Geophys. Res. - Atmos. , vol.113 , pp. D07107
    • Inamdar, A.K.1    French, A.2    Hook, S.3    Vaughan, G.4    Luckett, W.5
  • 15
    • 84907182919 scopus 로고    scopus 로고
    • GOES cloud detection at the Global Hydrology and Climate Center
    • Preprints, 12th Conf. on Satellite Meteorology and Oceanography, Long Beach, CA, Amer. Meteor. Soc., CD-ROM, P1.21.
    • Jedlovec, G.J., Laws, K., 2003. GOES cloud detection at the Global Hydrology and Climate Center. Preprints, 12th Conf. on Satellite Meteorology and Oceanography, Long Beach, CA, Amer. Meteor. Soc., CD-ROM, P1.21.
    • (2003)
    • Jedlovec, G.J.1    Laws, K.2
  • 17
    • 0021638977 scopus 로고
    • Decreasing Diurnal Temperature Range in the United States and Canada from 1941 through 1980
    • Karl T.R., Kukla G., Gavin J. Decreasing Diurnal Temperature Range in the United States and Canada from 1941 through 1980. J. Climate Appl. Meteorol. 1984, 23(11):1489-1504.
    • (1984) J. Climate Appl. Meteorol. , vol.23 , Issue.11 , pp. 1489-1504
    • Karl, T.R.1    Kukla, G.2    Gavin, J.3
  • 18
    • 84879983808 scopus 로고    scopus 로고
    • Downscaling GOEStationary land surface temperature imagery for Urban analysis
    • Keramitsoglou I., Kiranoudis C.T., Weng Q. Downscaling GOEStationary land surface temperature imagery for Urban analysis. IEEE Geosci. Remote Sens. Lett. 2013, 10(5):1253-1257.
    • (2013) IEEE Geosci. Remote Sens. Lett. , vol.10 , Issue.5 , pp. 1253-1257
    • Keramitsoglou, I.1    Kiranoudis, C.T.2    Weng, Q.3
  • 19
    • 0038104737 scopus 로고    scopus 로고
    • Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship
    • Kustas W.P., Norman J.M., Anderson M.C., French A.N. Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship. Remote Sens. Environ. 2003, 85(4):429-440.
    • (2003) Remote Sens. Environ. , vol.85 , Issue.4 , pp. 429-440
    • Kustas, W.P.1    Norman, J.M.2    Anderson, M.C.3    French, A.N.4
  • 20
    • 63249116223 scopus 로고    scopus 로고
    • Benefits and well-being perceived by people visiting green spaces in periods of heat stress
    • Lafortezza R., Carrus G., Sanesi G., Davies C. Benefits and well-being perceived by people visiting green spaces in periods of heat stress. Urban Forest. Urban Green. 2009, 8(2):97-108.
    • (2009) Urban Forest. Urban Green. , vol.8 , Issue.2 , pp. 97-108
    • Lafortezza, R.1    Carrus, G.2    Sanesi, G.3    Davies, C.4
  • 21
    • 14644402381 scopus 로고    scopus 로고
    • Partially supervised classification of remote sensing images through SVM-based probability density estimation
    • Mantero P., Moser G., Serpico S.B. Partially supervised classification of remote sensing images through SVM-based probability density estimation. IEEE Trans. Geosci. Remote Sens. 2005, 43(3):559-570.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 559-570
    • Mantero, P.1    Moser, G.2    Serpico, S.B.3
  • 23
  • 24
    • 84987081464 scopus 로고
    • The energetic basis of the urban heat island
    • Oke T.R. The energetic basis of the urban heat island. Quart. J. Royal Meteorol. Soc. 1982, 108(455):1-24.
    • (1982) Quart. J. Royal Meteorol. Soc. , vol.108 , Issue.455 , pp. 1-24
    • Oke, T.R.1
  • 26
    • 0032096467 scopus 로고    scopus 로고
    • An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization
    • Owen T.W., Carlson T.N., Gillies R.R. An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization. Int. J. Remote Sens. 1998, 19(9):1663-1681.
    • (1998) Int. J. Remote Sens. , vol.19 , Issue.9 , pp. 1663-1681
    • Owen, T.W.1    Carlson, T.N.2    Gillies, R.R.3
  • 27
    • 33748155329 scopus 로고    scopus 로고
    • Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval
    • Pu R.L., Gong P., Michishita R., Sasagawa T. Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval. Remote Sens. Environ. 2006, 104(2):211-225.
    • (2006) Remote Sens. Environ. , vol.104 , Issue.2 , pp. 211-225
    • Pu, R.L.1    Gong, P.2    Michishita, R.3    Sasagawa, T.4
  • 28
    • 58149178743 scopus 로고    scopus 로고
    • Urban heat island monitoring and analysis using a non-parametric model: A case study of Indianapolis
    • Rajasekar U., Weng Q. Urban heat island monitoring and analysis using a non-parametric model: A case study of Indianapolis. ISPRS J. Photogram. Remote Sens. 2009, 64(1):86-96.
    • (2009) ISPRS J. Photogram. Remote Sens. , vol.64 , Issue.1 , pp. 86-96
    • Rajasekar, U.1    Weng, Q.2
  • 29
    • 70449378695 scopus 로고    scopus 로고
    • Adaptive mapped least squares SVM-based smooth fitting method for DSM generation of LIDAR data
    • Shi W.Z., Zheng S., Tian Y. Adaptive mapped least squares SVM-based smooth fitting method for DSM generation of LIDAR data. Int. J. Remote Sens. 2009, 30(21):5669-5683.
    • (2009) Int. J. Remote Sens. , vol.30 , Issue.21 , pp. 5669-5683
    • Shi, W.Z.1    Zheng, S.2    Tian, Y.3
  • 30
    • 0038035666 scopus 로고    scopus 로고
    • Satellite-measured growth of the urban heat island of Houston, Texas
    • Streutker D.R. Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sens. Environ. 2003, 85(3):282-289.
    • (2003) Remote Sens. Environ. , vol.85 , Issue.3 , pp. 282-289
    • Streutker, D.R.1
  • 31
    • 33646339165 scopus 로고    scopus 로고
    • Diurnal temperature range over the United States: a satellite view
    • Sun D.L., Pinker R.T., Kafatos M. Diurnal temperature range over the United States: a satellite view. Geophys. Res. Lett. 2006, 33:L05705. 10.1029/2005GL024780.
    • (2006) Geophys. Res. Lett. , vol.33 , pp. L05705
    • Sun, D.L.1    Pinker, R.T.2    Kafatos, M.3
  • 32
    • 79958812539 scopus 로고    scopus 로고
    • Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK
    • Tomlinson C.J., Chapman L., Thornes J.E., Baker C.J. Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK. Int. J. Hea. Geogr 2011, 10:42.
    • (2011) Int. J. Hea. Geogr , vol.10 , pp. 42
    • Tomlinson, C.J.1    Chapman, L.2    Thornes, J.E.3    Baker, C.J.4
  • 33
    • 84872761303 scopus 로고    scopus 로고
    • Spatio-temporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains
    • Van De Kerchove R., Lhermitte S., Veraverbeke S., Goossens R. Spatio-temporal variability in remotely sensed land surface temperature, and its relationship with physiographic variables in the Russian Altay Mountains. Int. J. Appl. Earth Obs. Geoinf. 2013, 20:4-19.
    • (2013) Int. J. Appl. Earth Obs. Geoinf. , vol.20 , pp. 4-19
    • Van De Kerchove, R.1    Lhermitte, S.2    Veraverbeke, S.3    Goossens, R.4
  • 34
    • 0030193674 scopus 로고    scopus 로고
    • A generalized split-window algorithm for retrieving land-surface temperature from space
    • Wan Z.M., Dozier J. A generalized split-window algorithm for retrieving land-surface temperature from space. IEEE Trans. Geosci. Remote Sens. 1996, 34(4):892-905.
    • (1996) IEEE Trans. Geosci. Remote Sens. , vol.34 , Issue.4 , pp. 892-905
    • Wan, Z.M.1    Dozier, J.2
  • 35
    • 0031580561 scopus 로고    scopus 로고
    • Operational calibration of GOEStationary operational environmental satellite-8 and -9 imagers and sounders
    • Weinreb M., Jamieson M., Fulton N., Chen Y., Johnson J.X., Bremer J., Smith C., Baucom J. Operational calibration of GOEStationary operational environmental satellite-8 and -9 imagers and sounders. Appl. Opt. 1997, 36(27):6895-6904.
    • (1997) Appl. Opt. , vol.36 , Issue.27 , pp. 6895-6904
    • Weinreb, M.1    Jamieson, M.2    Fulton, N.3    Chen, Y.4    Johnson, J.X.5    Bremer, J.6    Smith, C.7    Baucom, J.8
  • 36
    • 84884717835 scopus 로고    scopus 로고
    • Modeling annual parameters of land surface temperature variations and evaluating the impact of cloud cover using time series of Landsat TIR data
    • Weng Q., Fu P. Modeling annual parameters of land surface temperature variations and evaluating the impact of cloud cover using time series of Landsat TIR data. Remote Sens. Environ. 2014, 140:267-278.
    • (2014) Remote Sens. Environ. , vol.140 , pp. 267-278
    • Weng, Q.1    Fu, P.2
  • 37
    • 84894380258 scopus 로고    scopus 로고
    • Generating daily land surface temperature at Landsat resolution through fusing Landsat and MODIS data
    • Weng Q., Fu P., Gao F. Generating daily land surface temperature at Landsat resolution through fusing Landsat and MODIS data. Remote Sens. Environ. 2014, 145:55-67.
    • (2014) Remote Sens. Environ. , vol.145 , pp. 55-67
    • Weng, Q.1    Fu, P.2    Gao, F.3
  • 39
    • 1242321310 scopus 로고    scopus 로고
    • Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies
    • Weng Q.H., Lu D.S., Schubring J. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sens. Environ. 2004, 89(4):467-483.
    • (2004) Remote Sens. Environ. , vol.89 , Issue.4 , pp. 467-483
    • Weng, Q.H.1    Lu, D.S.2    Schubring, J.3
  • 40
    • 84855446968 scopus 로고    scopus 로고
    • Downscaling land surface temperature for urban heat island diurnal cycle analysis
    • Zaksˇek K., Osˇtir K. Downscaling land surface temperature for urban heat island diurnal cycle analysis. Remote Sens. Environ. 2012, 117:114-124.
    • (2012) Remote Sens. Environ. , vol.117 , pp. 114-124
    • Zaksˇek, K.1    Osˇtir, K.2
  • 41
    • 53349153427 scopus 로고    scopus 로고
    • Remote sensing image fusion using multiscale mapped LS-SVM
    • Zheng S., Shi W.Z., Liu H., Tian J.W. Remote sensing image fusion using multiscale mapped LS-SVM. IEEE Trans. Geosci. Remote Sens. 2008, 46(5):1313-1322.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.5 , pp. 1313-1322
    • Zheng, S.1    Shi, W.Z.2    Liu, H.3    Tian, J.W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.