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Volumn 15, Issue 9, 2015, Pages 24002-24025

Generating Daily Synthetic Landsat Imagery by Combining Landsat and MODIS Data

Author keywords

FROM GLC; Landsat; MODIS; remote sensing; spatial and temporal data fusion

Indexed keywords

ION BEAMS; LINEAR REGRESSION; RADIOMETERS; REMOTE SENSING;

EID: 84957568910     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s150924002     Document Type: Article
Times cited : (65)

References (50)
  • 1
    • 84864416226 scopus 로고    scopus 로고
    • Analysing the advantages of high temporal resolution geostationary MSG SEVIRI data compared to Polar Operational Environmental Satellite data for land surface monitoring in Africa
    • Fensholt R. Anyamba A. Huber S. Proud S.R. Tucker C.J. Small J. Pak E. Rasmussen M.O. Sandholt I. Shisanya C. Analysing the advantages of high temporal resolution geostationary MSG SEVIRI data compared to Polar Operational Environmental Satellite data for land surface monitoring in Africa Int. J. Appl. Earth Obs. Geoinf. 2011 13 721 729 10.1016/j.jag.2011.05.009
    • (2011) Int. J. Appl. Earth Obs. Geoinf , vol.13 , pp. 721-729
    • Fensholt, R.1    Anyamba, A.2    Huber, S.3    Proud, S.R.4    Tucker, C.J.5    Small, J.6    Pak, E.7    Rasmussen, M.O.8    Sandholt, I.9    Shisanya, C.10
  • 2
    • 84865532759 scopus 로고    scopus 로고
    • Using the NOAA advanced very high resolution radiometer to characterise temporal and spatial trends in water temperature of large European lakes
    • Politi E. Cutler M.E.J. Rowan J.S. Using the NOAA advanced very high resolution radiometer to characterise temporal and spatial trends in water temperature of large European lakes Remote Sens. Environ. 2012 126 1 11 10.1016/j.rse.2012.08.004
    • (2012) Remote Sens. Environ , vol.126 , pp. 1-11
    • Politi, E.1    Cutler, M.E.J.2    Rowan, J.S.3
  • 3
    • 1142269707 scopus 로고    scopus 로고
    • VEGETATION/SPOT: An operational mission for the Earth monitoring; presentation of new standard products
    • Maisongrande P. Duchemin B. Dedieu G. VEGETATION/SPOT: An operational mission for the Earth monitoring; presentation of new standard products Int. J. Remote Sens. 2004 25 9 14 10.1080/0143116031000115265
    • (2004) Int. J. Remote Sens , vol.25 , pp. 9-14
    • Maisongrande, P.1    Duchemin, B.2    Dedieu, G.3
  • 5
    • 47049096762 scopus 로고    scopus 로고
    • Land cover classification of the North China Plain using MODIS EVI time series
    • Zhang X. Sun R. Zhang B. Tong Q.X. Land cover classification of the North China Plain using MODIS EVI time series ISPRS J. Photogramm. Remote Sens. 2008 63 476 484 10.1016/j.isprsjprs.2008.02.005
    • (2008) ISPRS J. Photogramm. Remote Sens , vol.63 , pp. 476-484
    • Zhang, X.1    Sun, R.2    Zhang, B.3    Tong, Q.X.4
  • 6
    • 39749111391 scopus 로고    scopus 로고
    • Contribution of multispectral and multitemporal information from MODIS images to land cover classification
    • Carrão H. Gonçalves P. Caetano M. Contribution of multispectral and multitemporal information from MODIS images to land cover classification Remote Sens. Environ. 2008 112 986 997 10.1016/j.rse.2007.07.002
    • (2008) Remote Sens. Environ , vol.112 , pp. 986-997
    • Carrão, H.1    Gonçalves, P.2    Caetano, M.3
  • 7
    • 15744396383 scopus 로고    scopus 로고
    • Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data
    • Thenkabail P.S. Schull M. Turral H. Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data Remote Sens. Environ. 2008 95 317 341 10.1016/j.rse.2004.12.018
    • (2008) Remote Sens. Environ , vol.95 , pp. 317-341
    • Thenkabail, P.S.1    Schull, M.2    Turral, H.3
  • 8
    • 84899669459 scopus 로고    scopus 로고
    • Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion
    • Kim Y. Kimball J.S. Didan K. Henebry G.M. Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion Agric. Forest Meteorol. 2014 194 132 143 10.1016/j.agrformet.2014.04.001
    • (2014) Agric. Forest Meteorol , vol.194 , pp. 132-143
    • Kim, Y.1    Kimball, J.S.2    Didan, K.3    Henebry, G.M.4
  • 10
    • 84907487195 scopus 로고    scopus 로고
    • Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia
    • Eckert S. Hüsler F. Liniger H. Hodel E. Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia J. Arid Environ. 2015 113 16 28 10.1016/j.jaridenv.2014.09.001
    • (2015) J. Arid Environ , vol.113 , pp. 16-28
    • Eckert, S.1    Hüsler, F.2    Liniger, H.3    Hodel, E.4
  • 11
    • 84855530760 scopus 로고    scopus 로고
    • Monitoring of rice cropping intensity in the upper Mekong Delta, Vietnam using time-series MODIS data
    • Chen C.F. Son N.T. Chang L.Y. Monitoring of rice cropping intensity in the upper Mekong Delta, Vietnam using time-series MODIS data Adv. Space Res. 2012 49 292 301 10.1016/j.asr.2011.09.011
    • (2012) Adv. Space Res , vol.49 , pp. 292-301
    • Chen, C.F.1    Son, N.T.2    Chang, L.Y.3
  • 12
    • 84901319847 scopus 로고    scopus 로고
    • Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information
    • Zhang J. Feng L. Yao F. Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information ISPRS J. Photogramm. Remote Sens. 2014 94 102 113 10.1016/j.isprsjprs.2014.04.023
    • (2014) ISPRS J. Photogramm. Remote Sens , vol.94 , pp. 102-113
    • Zhang, J.1    Feng, L.2    Yao, F.3
  • 14
    • 34250303986 scopus 로고    scopus 로고
    • Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta from MODIS time-series imagery
    • Sakamoto T. Nguyen N.V. Kotera A. Ohno H. Ishitsuka N. Yokozawa M. Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta from MODIS time-series imagery Remote Sens. Environ. 2007 109 295 313 10.1016/j.rse.2007.01.011
    • (2007) Remote Sens. Environ , vol.109 , pp. 295-313
    • Sakamoto, T.1    Nguyen, N.V.2    Kotera, A.3    Ohno, H.4    Ishitsuka, N.5    Yokozawa, M.6
  • 15
    • 84906944785 scopus 로고    scopus 로고
    • Detecting forest disturbance in the Pacific Northwest from MODIS time series using temporal segmentation
    • Sulla-Menashe D. Kennedy R.E. Yang Z. Braaten J. Krankina O.N. Friedl M.A. Detecting forest disturbance in the Pacific Northwest from MODIS time series using temporal segmentation Remote Sens. Environ. 2014 151 114 123 10.1016/j.rse.2013.07.042
    • (2014) Remote Sens. Environ , vol.151 , pp. 114-123
    • Sulla-Menashe, D.1    Kennedy, R.E.2    Yang, Z.3    Braaten, J.4    Krankina, O.N.5    Friedl, M.A.6
  • 16
    • 84907853318 scopus 로고    scopus 로고
    • An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data
    • Cao R. Chen J. Shen M. Tang Y. An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data Agric. Forest Meteorol. 2015 200 9 20 10.1016/j.agrformet.2014.09.009
    • (2015) Agric. Forest Meteorol , vol.200 , pp. 9-20
    • Cao, R.1    Chen, J.2    Shen, M.3    Tang, Y.4
  • 17
    • 84872359932 scopus 로고    scopus 로고
    • Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data
    • Gong P. Wang J. Yu L. Zhao Y.C. Zhao Y.Y. Liang L. Niu Z. Huang X. Fu H. Liu S. et al. Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data Int. J. Remote Sens. 2013 34 2607 2654 10.1080/01431161.2012.748992
    • (2013) Int. J. Remote Sens , vol.34 , pp. 2607-2654
    • Gong, P.1    Wang, J.2    Yu, L.3    Zhao, Y.C.4    Zhao, Y.Y.5    Liang, L.6    Niu, Z.7    Huang, X.8    Fu, H.9    Liu, S.10
  • 18
    • 84899680136 scopus 로고    scopus 로고
    • Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data
    • Jia K. Liang S.L. Zhang N. Wei X. Gu X. Zhao X. Yao Y. Xie X. Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data ISPRS J. Photogramm. Remote Sens. 2014 93 49 55 10.1016/j.isprsjprs.2014.04.004
    • (2014) ISPRS J. Photogramm. Remote Sens , vol.93 , pp. 49-55
    • Jia, K.1    Liang, S.L.2    Zhang, N.3    Wei, X.4    Gu, X.5    Zhao, X.6    Yao, Y.7    Xie, X.8
  • 19
    • 84888110903 scopus 로고    scopus 로고
    • Estimating landscape net ecosystem exchange at high spatial-temporal resolution based on Landsat data, an improved upscaling model framework, and eddy covariance flux measurements
    • Fu D.J. Chen B.Z. Zhang H.F. Wang J. Black T.A. Amiro B.D. Bohrer G. Bolstad P. Coulter R. Rahman A.F. et al. Estimating landscape net ecosystem exchange at high spatial-temporal resolution based on Landsat data, an improved upscaling model framework, and eddy covariance flux measurements Remote Sens. Environ. 2014 141 90 104 10.1016/j.rse.2013.10.029
    • (2014) Remote Sens. Environ , vol.141 , pp. 90-104
    • Fu, D.J.1    Chen, B.Z.2    Zhang, H.F.3    Wang, J.4    Black, T.A.5    Amiro, B.D.6    Bohrer, G.7    Bolstad, P.8    Coulter, R.9    Rahman, A.F.10
  • 20
    • 75349089214 scopus 로고    scopus 로고
    • Estimation of spatial-temporal rainfall distribution using remote sensing techniques: A case study of Makanya catchment, Tanzania
    • Jeniffer K. Su Z.B. Woldai T. Maathuis B. Estimation of spatial-temporal rainfall distribution using remote sensing techniques: A case study of Makanya catchment, Tanzania Int. J. Appl. Earth Obs. Geoinf. 2010 12 S90 S99 10.1016/j.jag.2009.10.003
    • (2010) Int. J. Appl. Earth Obs. Geoinf , vol.12 , pp. S90-S99
    • Jeniffer, K.1    Su, Z.B.2    Woldai, T.3    Maathuis, B.4
  • 21
    • 84867335433 scopus 로고    scopus 로고
    • Information fusion techniques for change detection from multi-temporal remote sensing images
    • Du P.J. Liu S.C. Xia J.S. Zhao Y. Information fusion techniques for change detection from multi-temporal remote sensing images Inf. Fusion 2013 14 19 27 10.1016/j.inffus.2012.05.003
    • (2013) Inf. Fusion , vol.14 , pp. 19-27
    • Du, P.J.1    Liu, S.C.2    Xia, J.S.3    Zhao, Y.4
  • 22
    • 0025656674 scopus 로고
    • Advances in remote sensing technologies for forest surveys and management
    • Leckie D. Advances in remote sensing technologies for forest surveys and management Can. J. Forest Res. 1990 21 464 483 10.1139/x90-063
    • (1990) Can. J. Forest Res , vol.21 , pp. 464-483
    • Leckie, D.1
  • 23
    • 33746932125 scopus 로고    scopus 로고
    • On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance
    • Gao F. Masek J. Schwaller M. Hall F. On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance IEEE Trans. Geosci. Remote Sens. 2006 44 2207 2218
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , pp. 2207-2218
    • Gao, F.1    Masek, J.2    Schwaller, M.3    Hall, F.4
  • 24
    • 44149102637 scopus 로고    scopus 로고
    • Multi-temporal MODIS–Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data
    • Roy D.P. Ju J.C. Lewis P. Schaaf C. Gao F. Hansen M. Lindquist E. Multi-temporal MODIS–Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data Remote Sens. Environ. 2008 112 3112 3130 10.1016/j.rse.2008.03.009
    • (2008) Remote Sens. Environ , vol.112 , pp. 3112-3130
    • Roy, D.P.1    Ju, J.C.2    Lewis, P.3    Schaaf, C.4    Gao, F.5    Hansen, M.6    Lindquist, E.7
  • 25
    • 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
    • Hilker T. Wulder M.A. Coops N.C. Linke J. McDermid G. Masek J.G. Gao F. White J.C. 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 1613 1627 10.1016/j.rse.2009.03.007
    • (2009) Remote Sens. Environ , vol.113 , pp. 1613-1627
    • Hilker, T.1    Wulder, M.A.2    Coops, N.C.3    Linke, J.4    McDermid, G.5    Masek, J.G.6    Gao, F.7    White, J.C.8
  • 26
    • 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
    • Liu H. Weng Q.H. 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 10.1016/j.rse.2011.06.023
    • (2012) Remote Sens. Environ , vol.117 , pp. 57-71
    • Liu, H.1    Weng, Q.H.2
  • 27
    • 84855434548 scopus 로고    scopus 로고
    • Evaluation of Landsat and MODIS data fusion products for analysis of dry land forest phonology
    • Walker J.J. Beurs K.M. Wynne R.H. Gao F. Evaluation of Landsat and MODIS data fusion products for analysis of dry land forest phonology Remote Sens. Environ. 2012 117 381 393 10.1016/j.rse.2011.10.014
    • (2012) Remote Sens. Environ , vol.117 , pp. 381-393
    • Walker, J.J.1    Beurs, K.M.2    Wynne, R.H.3    Gao, F.4
  • 28
    • 84894380258 scopus 로고    scopus 로고
    • Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
    • Weng Q.H. Fua P. Gao F. Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data Remote Sens. Environ. 2014 145 55 67 10.1016/j.rse.2014.02.003
    • (2014) Remote Sens. Environ , vol.145 , pp. 55-67
    • Weng, Q.H.1    Fua, P.2    Gao, F.3
  • 29
    • 84913553639 scopus 로고    scopus 로고
    • Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia
    • Schmidt M. Lucas R. Bunting P. Verbesselt J. Armston J. Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia Remote Sens. Environ. 2015 158 156 168 10.1016/j.rse.2014.11.015
    • (2015) Remote Sens. Environ , vol.158 , pp. 156-168
    • Schmidt, M.1    Lucas, R.2    Bunting, P.3    Verbesselt, J.4    Armston, J.5
  • 30
    • 77956177720 scopus 로고    scopus 로고
    • An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
    • Zhu X.L. Chen J. Gao F. Chen X. Masek J.G. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions Remote Sens. Environ. 2010 114 2610 2623 10.1016/j.rse.2010.05.032
    • (2010) Remote Sens. Environ , vol.114 , pp. 2610-2623
    • Zhu, X.L.1    Chen, J.2    Gao, F.3    Chen, X.4    Masek, J.G.5
  • 31
    • 84875063135 scopus 로고    scopus 로고
    • Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection
    • Emelyanova I.V. McVicar T.R. van Niel T.G. Li L.T. van Dijk A.I. Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection Remote Sens. Environ. 2013 133 193 209 10.1016/j.rse.2013.02.007
    • (2013) Remote Sens. Environ , vol.133 , pp. 193-209
    • Emelyanova, I.V.1    McVicar, T.R.2    van Niel, T.G.3    Li, L.T.4    van Dijk, A.I.5
  • 32
    • 36248982099 scopus 로고    scopus 로고
    • Combining medium and coarse spatial resolution satellite data to improve the estimation of sub-pixel NDVI time series
    • Busetto L. Meronib M. Colombo R. Combining medium and coarse spatial resolution satellite data to improve the estimation of sub-pixel NDVI time series Remote Sens. Environ. 2008 112 118 131 10.1016/j.rse.2007.04.004
    • (2008) Remote Sens. Environ , vol.112 , pp. 118-131
    • Busetto, L.1    Meronib, M.2    Colombo, R.3
  • 33
    • 0027334540 scopus 로고
    • Linear mixing and the estimation of groundcover proportion
    • Settle J.J. Drake N.A. Linear mixing and the estimation of groundcover proportion Int. J. Remote Sens. 1993 14 1159 1177 10.1080/01431169308904402
    • (1993) Int. J. Remote Sens , vol.14 , pp. 1159-1177
    • Settle, J.J.1    Drake, N.A.2
  • 34
    • 0032010497 scopus 로고    scopus 로고
    • Integration of high and low resolution NDVI data for monitoring vegetation in Mediterranean environments
    • Maselli F. Gilabert M.A. Conese C. Integration of high and low resolution NDVI data for monitoring vegetation in Mediterranean environments Remote Sens. Environ. 1998 63 208 218 10.1016/S0034-4257(97)00131-4
    • (1998) Remote Sens. Environ , vol.63 , pp. 208-218
    • Maselli, F.1    Gilabert, M.A.2    Conese, C.3
  • 35
    • 84906788682 scopus 로고    scopus 로고
    • Subpixel temporal spectral imaging
    • Duran O. Petrou M. Subpixel temporal spectral imaging Pattern Recognit. Lett. 2014 48 15 23 10.1016/j.patrec.2014.04.005
    • (2014) Pattern Recognit. Lett , vol.48 , pp. 15-23
    • Duran, O.1    Petrou, M.2
  • 37
    • 0035128356 scopus 로고    scopus 로고
    • Definition of spatially variable spectral end members by locally calibrated multivariate regression analyses
    • Maselli F. Definition of spatially variable spectral end members by locally calibrated multivariate regression analyses Remote Sens. Environ. 2001 75 29 38 10.1016/S0034-4257(00)00153-X
    • (2001) Remote Sens. Environ , vol.75 , pp. 29-38
    • Maselli, F.1
  • 38
    • 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
    • Wu M.Q. Niu Z. Wang C.Y. Wu C.Y. Wang L. 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 10.1117/1.JRS.6.063507
    • (2012) J. Appl. Remote Sens
    • Wu, M.Q.1    Niu, Z.2    Wang, C.Y.3    Wu, C.Y.4    Wang, L.5
  • 39
    • 84938703250 scopus 로고    scopus 로고
    • Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring
    • 26165141
    • Wu M.Q. Li H. Huang W.J. Niu Z. Wang C.Y. Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring Environ. Sci. Process. Impacts 2015 17 1396 1404 10.1039/C5EM00254K 26165141
    • (2015) Environ. Sci. Process. Impacts , vol.17 , pp. 1396-1404
    • Wu, M.Q.1    Li, H.2    Huang, W.J.3    Niu, Z.4    Wang, C.Y.5
  • 40
    • 84929611081 scopus 로고    scopus 로고
    • High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model
    • Wu M.Q. Wu C.Y. Huang W.J. Niu Z. Wang C.Y. 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 10.1016/j.compag.2015.05.003
    • (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
  • 41
    • 84939641103 scopus 로고    scopus 로고
    • Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring
    • 26308017
    • Wu M.Q. Huang W.J. Niu Z. Wang C.Y. Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring Int. J. Environ. Res. Public Health 2015 12 9920 9937 10.3390/ijerph120809920 26308017
    • (2015) Int. J. Environ. Res. Public Health , vol.12 , pp. 9920-9937
    • Wu, M.Q.1    Huang, W.J.2    Niu, Z.3    Wang, C.Y.4
  • 42
    • 84907963084 scopus 로고    scopus 로고
    • A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion
    • Gevaert C.M. García-Haro J. A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion Remote Sens. Environ. 2015 156 34 44 10.1016/j.rse.2014.09.012
    • (2015) Remote Sens. Environ , vol.156 , pp. 34-44
    • Gevaert, C.M.1    García-Haro, J.2
  • 43
    • 84908320410 scopus 로고    scopus 로고
    • Fusing Landsat and SAR time series to detect deforestation in the tropics
    • Reiche J. Verbesselt J. Hoekman D. Herold M. Fusing Landsat and SAR time series to detect deforestation in the tropics Remote Sens. Environ. 2015 156 276 293 10.1016/j.rse.2014.10.001
    • (2015) Remote Sens. Environ , vol.156 , pp. 276-293
    • Reiche, J.1    Verbesselt, J.2    Hoekman, D.3    Herold, M.4
  • 44
    • 84904761645 scopus 로고    scopus 로고
    • Evaluating total inorganic nitrogen in coastal waters through fusion of multi-temporal RADARSAT-2 and optical imagery using random forest algorithm
    • Liu M.L. Liu X.N. Li J. Ding C. Jiang J. Evaluating total inorganic nitrogen in coastal waters through fusion of multi-temporal RADARSAT-2 and optical imagery using random forest algorithm Int. J. Appl. Earth Obs. Geoinf. 2014 33 192 202 10.1016/j.jag.2014.05.009
    • (2014) Int. J. Appl. Earth Obs. Geoinf , vol.33 , pp. 192-202
    • Liu, M.L.1    Liu, X.N.2    Li, J.3    Ding, C.4    Jiang, J.5
  • 45
    • 84888083985 scopus 로고    scopus 로고
    • Improving the impervious surface estimation with combined use of optical and SAR remote sensing images
    • Zhang Y.Z. Zhang H.S. Lin H. Improving the impervious surface estimation with combined use of optical and SAR remote sensing images Remote Sens. Environ. 2014 141 155 167 10.1016/j.rse.2013.10.028
    • (2014) Remote Sens. Environ , vol.141 , pp. 155-167
    • Zhang, Y.Z.1    Zhang, H.S.2    Lin, H.3
  • 46
    • 84880330995 scopus 로고    scopus 로고
    • Multi-sensor data fusion for remote sensing of post-eruptive deformation and depositional features at Redoubt Volcano
    • McAlpin D. Meyer F.J. 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 10.1016/j.jvolgeores.2012.08.006
    • (2013) J. Volcanol. Geotherm. Res , vol.259 , pp. 414-423
    • McAlpin, D.1    Meyer, F.J.2
  • 48
    • 84908354945 scopus 로고    scopus 로고
    • SAR and optical remote sensing: Assessment of complementarity and interoperability in the context of a large-scale operational forest monitoring system
    • Lehmann E.A. Caccetta P. Lowell K. Mitchell A. Zhou Z.S. Held A. Milne T. Tapley L. SAR and optical remote sensing: Assessment of complementarity and interoperability in the context of a large-scale operational forest monitoring system Remote Sens. Environ. 2015 156 335 348 10.1016/j.rse.2014.09.034
    • (2015) Remote Sens. Environ , vol.156 , pp. 335-348
    • Lehmann, E.A.1    Caccetta, P.2    Lowell, K.3    Mitchell, A.4    Zhou, Z.S.5    Held, A.6    Milne, T.7    Tapley, L.8
  • 49
    • 84862827749 scopus 로고    scopus 로고
    • Landsat remote sensing approaches for monitoring long-term tree cover dynamics in semi-arid woodlands: Comparison of vegetation indices and spectral mixture analysis
    • Yang J. Weisberg P.J. Bristow N.A. Landsat remote sensing approaches for monitoring long-term tree cover dynamics in semi-arid woodlands: Comparison of vegetation indices and spectral mixture analysis Remote Sens. Environ. 2012 119 62 71 10.1016/j.rse.2011.12.004
    • (2012) Remote Sens. Environ , vol.119 , pp. 62-71
    • Yang, J.1    Weisberg, P.J.2    Bristow, N.A.3
  • 50
    • 84942254320 scopus 로고    scopus 로고
    • Nonlinear Partial Least Squares Regressions for Spectral Quantitative Analysis
    • in press
    • Wang Y.X. Cao H. Zhou Y. Zhang Y.B. Nonlinear Partial Least Squares Regressions for Spectral Quantitative Analysis Chemom. Intell. Lab. Syst. 2015 in press 10.1016/j.chemolab.2015.08.024
    • (2015) Chemom. Intell. Lab. Syst
    • Wang, Y.X.1    Cao, H.2    Zhou, Y.3    Zhang, Y.B.4


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