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Volumn 17, Issue 8, 2015, Pages 1396-1404

Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER; ARTICLE; CHINA; CONTROLLED STUDY; CORRELATION ANALYSIS; ENHANCED SPATIAL AND TEMPORAL ADAPTIVE REFLECTANCE FUSION MODEL; ENVIRONMENTAL MONITORING; LAND SURFACE TEMPERATURE; LAND USE; MATHEMATICAL MODEL; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; PRIORITY JOURNAL; RADIATION DETECTOR; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL AND TEMPORAL ADAPTIVE REFLECTANCE FUSION MODEL; TEMPERATURE; GEOGRAPHIC INFORMATION SYSTEM; PROCEDURES; THEORETICAL MODEL;

EID: 84938703250     PISSN: 20507887     EISSN: 20507895     Source Type: Journal    
DOI: 10.1039/c5em00254k     Document Type: Article
Times cited : (34)

References (42)
  • 1
    • 79251494448 scopus 로고    scopus 로고
    • Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery
    • M. C. Anderson W. P. Kustas J. M. Norman C. R. Hain J. R. Mecikalski L. Schultz et al., Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery Hydrol. Earth Syst. Sci. 2011 15 1 223 239
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , Issue.1 , pp. 223-239
    • Anderson, M.C.1    Kustas, W.P.2    Norman, J.M.3    Hain, C.R.4    Mecikalski, J.R.5    Schultz, L.6
  • 2
    • 34548428368 scopus 로고    scopus 로고
    • An overview of the triangle method for estimating surface evapotranspiration and soil moisture from satellite imagery
    • T. Carlson 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
  • 3
    • 0344326917 scopus 로고    scopus 로고
    • Thermal infrared measurement as an indicator of plant ecosystemhealth
    • M. S. Moran, Thermal infrared measurement as an indicator of plant ecosystemhealth, Thermal Remote Sensing in Land Surface Processes, 2004, pp. 257-282
    • (2004) Thermal Remote Sensing in Land Surface Processes , pp. 257-282
    • Moran, M.S.1
  • 4
    • 0031193235 scopus 로고    scopus 로고
    • A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data
    • Z. M. Wan Z. L. Li A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data IEEE Trans. Geosci. Remote Sens. 1997 35 4 980 996
    • (1997) IEEE Trans. Geosci. Remote Sens. , vol.35 , Issue.4 , pp. 980-996
    • Wan, Z.M.1    Li, Z.L.2
  • 5
    • 84902970267 scopus 로고    scopus 로고
    • MODIS Land Surface Temperature as an index of surface air temperature for operational snowpack estimation
    • E. Shamir K. P. Georgakakos MODIS Land Surface Temperature as an index of surface air temperature for operational snowpack estimation Remote Sens. Environ. 2014 152 83 98
    • (2014) Remote Sens. Environ. , vol.152 , pp. 83-98
    • Shamir, E.1    Georgakakos, K.P.2
  • 6
    • 84857387469 scopus 로고    scopus 로고
    • Utility of Landsat Image in the Study of Land Cover and Land Surface Temperature Change
    • Z. Q. Lv Q. G. Zhou Utility of Landsat Image in the Study of Land Cover and Land Surface Temperature Change Procedia Environ. Sci. 2011 20 1287 1292
    • (2011) Procedia Environ. Sci. , vol.20 , pp. 1287-1292
    • Lv, Z.Q.1    Zhou, Q.G.2
  • 7
    • 84938715869 scopus 로고    scopus 로고
    • Impact of Land Use Changes on the Surface Temperature Distribution of Area Surrounding the National Botanic Garden, Shah Alam
    • S. N. A. Buyadi W. M. N. W. Mohd A. Misni Impact of Land Use Changes on the Surface Temperature Distribution of Area Surrounding the National Botanic Garden, Shah Alam Procedia-Social and Behavioral Sciences 2013 101 516 525
    • (2013) Procedia - Social and Behavioral Sciences , vol.101 , pp. 516-525
    • Buyadi, S.N.A.1    Mohd, W.M.N.W.2    Misni, A.3
  • 8
    • 79951793650 scopus 로고    scopus 로고
    • Analysis of the impact of Land use/Land cover change on Land Surface Temperature with Remote Sensing
    • J. Jiang G. Tian Analysis of the impact of Land use/Land cover change on Land Surface Temperature with Remote Sensing Procedia Environ. Sci. 2010 2 571 575
    • (2010) Procedia Environ. Sci. , vol.2 , pp. 571-575
    • Jiang, J.1    Tian, G.2
  • 9
    • 84911995972 scopus 로고    scopus 로고
    • Impacts of urban biophysical composition on land surface temperature in urban heat island clusters
    • G. Guo Z. Wu R. Xiao Y. Chen X. Liu X. Zhang Impacts of urban biophysical composition on land surface temperature in urban heat island clusters Landsc. Urban Plan. 2015 135 1 10
    • (2015) Landsc. Urban Plan. , vol.135 , pp. 1-10
    • Guo, G.1    Wu, Z.2    Xiao, R.3    Chen, Y.4    Liu, X.5    Zhang, X.6
  • 10
    • 84875848563 scopus 로고    scopus 로고
    • The impact of temporal aggregation of land surface temperature data for surface urban heat island (SUHI) monitoring
    • L. Hu N. A. Brunsell The impact of temporal aggregation of land surface temperature data for surface urban heat island (SUHI) monitoring Remote Sens. Environ. 2013 134 162 174
    • (2013) Remote Sens. Environ. , vol.134 , pp. 162-174
    • Hu, L.1    Brunsell, N.A.2
  • 11
    • 74149084261 scopus 로고    scopus 로고
    • Remote sensing of the urbanheat island effect across biomes in the continental USA
    • M. L. Imhoff P. Zhang R. E. Wolfe L. Bounoua Remote sensing of the urbanheat island effect across biomes in the continental USA Remote Sens. Environ. 2010 114 3 504 513
    • (2010) Remote Sens. Environ. , vol.114 , Issue.3 , pp. 504-513
    • Imhoff, M.L.1    Zhang, P.2    Wolfe, R.E.3    Bounoua, L.4
  • 13
    • 84893728110 scopus 로고    scopus 로고
    • Assess the effect of different degrees of urbanization on land surface temperature using remote sensing images
    • Z. Guo S. D. Wang M. M. Cheng Y. Shu Assess the effect of different degrees of urbanization on land surface temperature using remote sensing images Procedia Environ. Sci. 2012 13 935 942
    • (2012) Procedia Environ. Sci. , vol.13 , pp. 935-942
    • Guo, Z.1    Wang, S.D.2    Cheng, M.M.3    Shu, Y.4
  • 14
    • 84884931949 scopus 로고    scopus 로고
    • Generation of a time-consistent land surface temperature product from MODIS data
    • S. Duan Z. Li B. Tang H. Wu R. Tang Generation of a time-consistent land surface temperature product from MODIS data Remote Sens. Environ. 2014 140 339 349
    • (2014) Remote Sens. Environ. , vol.140 , pp. 339-349
    • Duan, S.1    Li, Z.2    Tang, B.3    Wu, H.4    Tang, R.5
  • 15
    • 70449568905 scopus 로고    scopus 로고
    • The influence of topography on the forest surface temperature retrieved from Landsat TM, ETM + and ASTER thermal channels
    • M. Hais T. Kučera The influence of topography on the forest surface temperature retrieved from Landsat TM, ETM + and ASTER thermal channels ISPRS J. Photogramm. Remote Sens. 2009 64 585 591
    • (2009) ISPRS J. Photogramm. Remote Sens. , vol.64 , pp. 585-591
    • Hais, M.1    Kučera, T.2
  • 16
    • 79958185476 scopus 로고    scopus 로고
    • Research on Using a Mono-Window Algorithm for Land Surface Temperature Retrieval from Chinese Satellite for Environment and Natural Disaster Monitoring (HJ-1B) Data
    • S. Zhao Q. Qin F. Zhang et al., Research on Using a Mono-Window Algorithm for Land Surface Temperature Retrieval from Chinese Satellite for Environment and Natural Disaster Monitoring (HJ-1B) Data Spectrosc. Spectral Anal. 2011 31 1552 1556
    • (2011) Spectrosc. Spectral Anal. , vol.31 , pp. 1552-1556
    • Zhao, S.1    Qin, Q.2    Zhang, F.3
  • 17
    • 4444246209 scopus 로고    scopus 로고
    • Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX
    • F. Li T. J. Jackson W. P. Kustas et al., Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX Remote Sens. Environ. 2004 92 521 534
    • (2004) Remote Sens. Environ. , vol.92 , pp. 521-534
    • Li, F.1    Jackson, T.J.2    Kustas, W.P.3
  • 18
    • 84864508287 scopus 로고    scopus 로고
    • Monitoring agricultural drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data
    • N. T. Son C. F. Chen C. R. Chen L. Y. Chang V. Q. Minh Monitoring agricultural drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data Int. J. Appl. Earth Obs. Geoinf. 2012 18 417 427
    • (2012) Int. J. Appl. Earth Obs. Geoinf. , vol.18 , pp. 417-427
    • Son, N.T.1    Chen, C.F.2    Chen, C.R.3    Chang, L.Y.4    Minh, V.Q.5
  • 19
    • 84919833240 scopus 로고    scopus 로고
    • A new single-channel method for estimating land surface temperature based on the image inherent information: The HJ-1B case
    • F. Chen S. Yang Z. Su B. He A new single-channel method for estimating land surface temperature based on the image inherent information: The HJ-1B case ISPRS J. Photogramm. Remote Sens. 2015 101 80 88
    • (2015) ISPRS J. Photogramm. Remote Sens. , vol.101 , pp. 80-88
    • Chen, F.1    Yang, S.2    Su, Z.3    He, B.4
  • 20
    • 33746932125 scopus 로고    scopus 로고
    • On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance
    • F. Gao J. Masek M. Schwaller F. Hall On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance IEEE Trans. Geosci. Remote Sens. 2006 44 8 2207 2218
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.8 , pp. 2207-2218
    • Gao, F.1    Masek, J.2    Schwaller, M.3    Hall, F.4
  • 21
    • 67349083870 scopus 로고    scopus 로고
    • A new data fusion model for high spatial- and temporal- resolution mapping of forest disturbance based on Landsat and MODIS
    • T. Hilker M. A. Wulder N. C. Coops et al., A new data fusion model for high spatial- and temporal- resolution mapping of forest disturbance based on Landsat and MODIS Remote Sens. Environ. 2009 113 8 1613 1627
    • (2009) Remote Sens. Environ. , vol.113 , Issue.8 , pp. 1613-1627
    • Hilker, T.1    Wulder, M.A.2    Coops, N.C.3
  • 22
    • 84855425045 scopus 로고    scopus 로고
    • Enhancing temporal resolution of satellite imagery for public health studies: A case study of West Nile Virus outbreak in Los Angeles in 2007
    • H. Liu Q. H. Weng Enhancing temporal resolution of satellite imagery for public health studies: A case study of West Nile Virus outbreak in Los Angeles in 2007 Remote Sens. Environ. 2012 117 57 71
    • (2012) Remote Sens. Environ. , vol.117 , pp. 57-71
    • Liu, H.1    Weng, Q.H.2
  • 23
    • 84855434548 scopus 로고    scopus 로고
    • Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology
    • J. J. Walker K. M. de Beurs R. H. Wynne F. Gao Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology Remote Sens. Environ. 2012 117 381 393
    • (2012) Remote Sens. Environ. , vol.117 , pp. 381-393
    • Walker, J.J.1    De Beurs, K.M.2    Wynne, R.H.3    Gao, F.4
  • 24
    • 84894380258 scopus 로고    scopus 로고
    • Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
    • Q. H. Weng P. Fua F. Gao Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data Remote Sens. Environ. 2014 145 55 67
    • (2014) Remote Sens. Environ. , vol.145 , pp. 55-67
    • Weng, Q.H.1    Fua, P.2    Gao, F.3
  • 25
    • 84913553639 scopus 로고    scopus 로고
    • Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia
    • M. Schmidt R. Lucas P. Bunting et al., Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia Remote Sens. Environ. 2015 158 156 168
    • (2015) Remote Sens. Environ. , vol.158 , pp. 156-168
    • Schmidt, M.1    Lucas, R.2    Bunting, P.3
  • 26
    • 77956177720 scopus 로고    scopus 로고
    • An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
    • X. L. Zhu J. Chen F. Gao et al., An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions Remote Sens. Environ. 2010 114 11 2610 2623
    • (2010) Remote Sens. Environ. , vol.114 , Issue.11 , pp. 2610-2623
    • Zhu, X.L.1    Chen, J.2    Gao, F.3
  • 27
    • 36248982099 scopus 로고    scopus 로고
    • Combining medium and coarse spatial resolution satellite data to improve the estimation of sub-pixel NDVI time series
    • L. Busetto M. Meronib R. Colombo Combining medium and coarse spatial resolution satellite data to improve the estimation of sub-pixel NDVI time series Remote Sens. Environ. 2008 112 1 118 131
    • (2008) Remote Sens. Environ. , vol.112 , Issue.1 , pp. 118-131
    • Busetto, L.1    Meronib, M.2    Colombo, R.3
  • 29
    • 0035128356 scopus 로고    scopus 로고
    • Definition of spatially variable spectral endmembers by locally calibrated multivariate regression analyses
    • F. Maselli Definition of spatially variable spectral endmembers by locally calibrated multivariate regression analyses Remote Sens. Environ. 2001 75 1 29 38
    • (2001) Remote Sens. Environ. , vol.75 , Issue.1 , pp. 29-38
    • Maselli, F.1
  • 30
    • 84885433268 scopus 로고    scopus 로고
    • The use of MODIS and Landsat time series data to generate high resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model
    • M. Q. Wu Z. Niu C. Y. Wang C. Y. Wu L. Wang The use of MODIS and Landsat time series data to generate high resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model J. Appl. Remote Sens. 2012 6 1 8
    • (2012) J. Appl. Remote Sens. , vol.6 , pp. 1-8
    • Wu, M.Q.1    Niu, Z.2    Wang, C.Y.3    Wu, C.Y.4    Wang, L.5
  • 31
    • 84929611081 scopus 로고    scopus 로고
    • High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model
    • M. Q. Wu C. Y. Wu W. J. Huang Z. Niu C. Y. Wang High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model Comput. Electron. Agric. 2015 115 1 11
    • (2015) Comput. Electron. Agric. , vol.115 , pp. 1-11
    • Wu, M.Q.1    Wu, C.Y.2    Huang, W.J.3    Niu, Z.4    Wang, C.Y.5
  • 32
    • 79952326127 scopus 로고    scopus 로고
    • Mapping paddy fields by using spatial and temporal remote sensing data fusion technology
    • M. Q. Wu Z. Niu C. Y. Wang Mapping paddy fields by using spatial and temporal remote sensing data fusion technology Transactions of the CSAE 2010 26 supp. 2 48 52
    • (2010) Transactions of the CSAE , vol.26 , pp. 48-52
    • Wu, M.Q.1    Niu, Z.2    Wang, C.Y.3
  • 34
    • 84906949599 scopus 로고    scopus 로고
    • Investigating the Impact of Soil Moisture on Thermal Infrared Emissivity Using ASTER Data
    • H. Wang Q. Xiao H. Li Y. Du Q. Liu Investigating the Impact of Soil Moisture on Thermal Infrared Emissivity Using ASTER Data IEEE Trans. Geosci. Remote Sens. 2015 12 2 294 298
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.12 , Issue.2 , pp. 294-298
    • Wang, H.1    Xiao, Q.2    Li, H.3    Du, Y.4    Liu, Q.5
  • 35
    • 0027334540 scopus 로고
    • Linear mixing and the estimation of groundcover proportion
    • J. J. Settle N. A. Drake Linear mixing and the estimation of groundcover proportion Remote Sens. Environ. 1993 14 1159 1177
    • (1993) Remote Sens. Environ. , vol.14 , pp. 1159-1177
    • Settle, J.J.1    Drake, N.A.2
  • 36
    • 84925321725 scopus 로고    scopus 로고
    • Intercomparison of the different fusion methods for generating high spatial-temporal resolution data
    • Y. Shi G. Yang C. Li et al., Intercomparison of the different fusion methods for generating high spatial-temporal resolution data J. Infrared Millim. Waves 2015 34 92 99
    • (2015) J. Infrared Millim. Waves , vol.34 , pp. 92-99
    • Shi, Y.1    Yang, G.2    Li, C.3
  • 37
    • 84880330995 scopus 로고    scopus 로고
    • Multi-sensor data fusion for remote sensing of post-eruptive deformation and depositional features at Redoubt Volcano
    • D. McAlpin F. J. Meyer Multi-sensor data fusion for remote sensing of post-eruptive deformation and depositional features at Redoubt Volcano J. Volcanol. Geotherm. Res. 2013 259 414 423
    • (2013) J. Volcanol. Geotherm. Res. , vol.259 , pp. 414-423
    • McAlpin, D.1    Meyer, F.J.2
  • 39
    • 84908320410 scopus 로고    scopus 로고
    • Fusing Landsat and SAR time series to detect deforestation in the tropics
    • J. Reiche J. Verbesselt D. Hoekman et al., Fusing Landsat and SAR time series to detect deforestation in the tropics Remote Sens. Environ. 2015 156 276 293
    • (2015) Remote Sens. Environ. , vol.156 , pp. 276-293
    • Reiche, J.1    Verbesselt, J.2    Hoekman, D.3
  • 40
    • 84904761645 scopus 로고    scopus 로고
    • Evaluating total inorganic nitrogen in coastal waters through fusion ofmulti-temporal RADARSAT-2 and optical imagery using random forest algorithm
    • M. Liu X. Liu J. Li et al., Evaluating total inorganic nitrogen in coastal waters through fusion ofmulti-temporal RADARSAT-2 and optical imagery using random forest algorithm Int. J. Appl. Earth Obs. Geoinf. 2014 33 192 202
    • (2014) Int. J. Appl. Earth Obs. Geoinf. , vol.33 , pp. 192-202
    • Liu, M.1    Liu, X.2    Li, J.3
  • 41
    • 84888083985 scopus 로고    scopus 로고
    • Improving the impervious surface estimation with combined use of optical and SAR remote sensing images
    • Y. Zhang H. Zhang H. Lin Improving the impervious surface estimation with combined use of optical and SAR remote sensing images Remote Sens. Environ. 2014 141 155 167
    • (2014) Remote Sens. Environ. , vol.141 , pp. 155-167
    • Zhang, Y.1    Zhang, H.2    Lin, H.3
  • 42
    • 84913553639 scopus 로고    scopus 로고
    • Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia
    • M. Schmidt R. Lucas P. Bunting et al., Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia Remote Sens. Environ. 2015 158 156 168
    • (2015) Remote Sens. Environ. , vol.158 , pp. 156-168
    • Schmidt, M.1    Lucas, R.2    Bunting, P.3


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