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    188宝金博页面版: Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM

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    内容提示： Chander, G., Markham, B.L., Helder, D.L. (2009). Summary of Current Radiometric Calibration Coefficients forLandsat MSS, TM, ETM+, and EO-1 ALI Sensors. (In Press, Remote Sensing of Environment, Manuscript Number: RSE-D-08-00684)Summary of Current Radiometric Calibration Coefficients forLandsat MSS, TM, ETM+, and EO-1 ALI SensorsGyanesh Chander a , Brian L. Markham b , Dennis L. HelderSGT, Inc.' contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Fal...

    文档格式：PDF | 页数：24 | 浏览次数：38 | 上传日期：2017-04-09 11:17:37 | 文档星级：
    Chander, G., Markham, B.L., Helder, D.L. (2009). Summary of Current Radiometric Calibration Coefficients forLandsat MSS, TM, ETM+, and EO-1 ALI Sensors. (In Press, Remote Sensing of Environment, Manuscript Number: RSE-D-08-00684)Summary of Current Radiometric Calibration Coefficients forLandsat MSS, TM, ETM+, and EO-1 ALI SensorsGyanesh Chander a , Brian L. Markham b , Dennis L. HelderSGT, Inc.' contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD57198-0001 USA. 'Work performed under USGS contract 08HQCN0005 Telephone: 605-594-2554, Email: gchander'usc^s.co'National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC), Greenbelt. MD 20771, USA` South Dakota State University (SDSU), Brookings, SD 57007, USAAbstractThis paper provides a summary of the current equations and rescaling factors for convertingcalibrated Digital Numbers (DNs) to absolute units of at-sensor spectral radiance, Top-Of-Atmosphere (TOA) reflectance, and at-sensor brightness temperature. It tabulates the necessaryconstants for the Multispectral Scanner (MSS), Thematic Mapper (TM), Enhanced ThematicMapper Plus (ETM+), and Advanced Land Imager (ALI) sensors. These conversions provide abasis for standardized comparison of data in a single scene or between images acquired ondifferent dates or by different sensors. This paper forms a needed guide for Landsat data userswho now have access to the entire Landsat archive at no cost.Keywords: Landsat, MSS, TM, ETM+, EO-1 ALI, LMIN,,, LMAX A , ESUN A , LPGS, NLAPS, Gain,Bias, Calibration, Spectral Radiance, Reflectance, Temperature1. IntroductionThe Landsat series of satellites provides the longest continuous record of satellite-basedobservations. As such, Landsat is an invaluable resource for monitoring global change and is aprimary source of medium spatial resolution Earth observations used in decision-making (Fuller etal., 1994; Townshend et al., 1995; Goward et al., 1997; Vogelmann et al., 2001; Woodcock et al.,2001; Cohen et al., 2004; Goward et al., 2006; Masek et al., 2008; Wulder et al., 2008). To meetobservation requirements at a scale revealing both natural and human-induced landscapechanges, Landsat provides the only inventory of the global land surface over time on a seasonalbasis (Special issues on Landsat, 1984; 1985; 1997; 2001; 2003; 2004; 2006). The LandsatProgram began in early 1972 with the launch of the first satellite in the series. As technologicalcapabilities increased, so did the amount and quality of image data captured by the varioussensors onboard the satellites. Table 1 presents general information about each Landsat satellite.Landsat satellites can be classified into three groups, based on sensor and platformcharacteristics. The first group consists of Landsat 1 (1-1), Landsat 2 (1-2), and Landsat 3 (1-3),with the Multispectral Scanner (MSS) sensor and the Return Beam Vidicon (RBV) camera aspayloads on a "NIMBUS-like" platform. The spatial resolution of the MSS sensor was

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