Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m ReflectiveWavelength Bands to Sentinel-2 20-m Resolution

被引:25
作者
Li, Zhongbin [1 ]
Zhang, Hankui K. [1 ]
Roy, David P. [1 ]
Yan, Lin [1 ]
Huang, Haiyan [1 ]
Li, Jian [1 ]
机构
[1] South Dakota State Univ, Geospatial Sci Ctr Excellence, Brookings, SD 57007 USA
来源
REMOTE SENSING | 2017年 / 9卷 / 07期
关键词
Landsat-8; Sentinel-2; 20-m resolution; downscaling; image registration; resampling; HIGH-SPATIAL-RESOLUTION; IMAGE FUSION; EVAPOTRANSPIRATION ESTIMATION; ATMOSPHERIC CORRECTION; GENERAL-METHOD; SATELLITE; REFLECTANCE; CALIBRATION; AEROSOL; OLI;
D O I
10.3390/rs9070755
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) method to downscale Landsat-8 Operational Land Imager (OLI) 30-m data to Sentinel-2 multi-spectral instrument (MSI) 20-m resolution is presented. The method first downscales the Landsat-8 30-m OLI bands to 15-m using the spatial detail provided by the Landsat-8 15-m panchromatic band and then reprojects and resamples the downscaled 15-m data into registration with Sentinel-2A 20-m data. The LPAD method is demonstrated using pairs of contemporaneous Landsat-8 OLI and Sentinel-2A MSI images sensed less than 19 min apart over diverse geographic environments. The LPAD method is shown to introduce less spectral and spatial distortion and to provide visually more coherent data than conventional bilinear and cubic convolution resampled 20-m Landsat OLI data. In addition, results for a pair of Landsat-8 and Sentinel-2A images sensed one day apart suggest that image fusion should be undertaken with caution when the images are acquired under different atmospheric conditions. The LPAD source code is available at GitHub for public use.
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页数:18
相关论文
共 66 条
  • [1] Bi-cubic interpolation for shift-free pan-sharpening
    Aiazzi, Bruno
    Baronti, Stefano
    Selva, Massimo
    Alparone, Luciano
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2013, 86 : 65 - 76
  • [2] Alparone L., 2015, Remote Sensing Image Fusion
  • [3] Anderson MC, 2004, J HYDROMETEOROL, V5, P343, DOI 10.1175/1525-7541(2004)005<0343:AMRSMF>2.0.CO
  • [4] 2
  • [5] Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
    Bontemps, Sophie
    Arias, Marcela
    Cara, Cosmin
    Dedieu, Gerard
    Guzzonato, Eric
    Hagolle, Olivier
    Inglada, Jordi
    Matton, Nicolas
    Morin, David
    Popescu, Ramona
    Rabaute, Thierry
    Savinaud, Mickael
    Sepulcre, Guadalupe
    Valero, Silvia
    Ahmad, Ijaz
    Begue, Agnes
    Wu, Bingfang
    de Abelleyra, Diego
    Diarra, Alhousseine
    Dupuy, Stephane
    French, Andrew
    Akhtar, Ibrar ul Hassan
    Kussul, Nataliia
    Lebourgeois, Valentine
    Le Page, Michel
    Newby, Terrence
    Savin, Igor
    Veron, Santiago R.
    Koetz, Benjamin
    Defourny, Pierre
    [J]. REMOTE SENSING, 2015, 7 (12) : 16062 - 16090
  • [6] Mapping Extent Dynamics of Small Lakes Using Downscaling MODIS Surface Reflectance
    Che, Xianghong
    Yang, Yaping
    Feng, Min
    Xiao, Tong
    Huang, Shengli
    Xiang, Yang
    Chen, Zugang
    [J]. REMOTE SENSING, 2017, 9 (01)
  • [7] Dikshit O, 1996, PHOTOGRAMM ENG REM S, V62, P1085
  • [8] Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
    Drusch, M.
    Del Bello, U.
    Carlier, S.
    Colin, O.
    Fernandez, V.
    Gascon, F.
    Hoersch, B.
    Isola, C.
    Laberinti, P.
    Martimort, P.
    Meygret, A.
    Spoto, F.
    Sy, O.
    Marchese, F.
    Bargellini, P.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2012, 120 : 25 - 36
  • [9] Dubovik O, 2002, J ATMOS SCI, V59, P590, DOI 10.1175/1520-0469(2002)059<0590:VOAAOP>2.0.CO
  • [10] 2