Landsat-5 TM reflective-band absolute radiometric calibration

被引:76
|
作者
Chander, G [1 ]
Helder, DL
Markham, BL
Dewald, JD
Kaita, E
Thome, KJ
Micijevic, E
Ruggles, TA
机构
[1] US Geol Survey, Sci Applicat Int Corp, Earth Resources Observat Syst Data Ctr, Sioux Falls, SD 57198 USA
[2] S Dakota State Univ, Dept Elect Engn & Comp Sci, Brookings, SD 57007 USA
[3] NASA, Goddard Space Flight Ctr, Landsat Project Sci Off, Greenbelt, MD 20771 USA
[4] Univ Arizona, Ctr Opt Sci, Ctr Remote Sensing, Tucson, AZ 85721 USA
来源
基金
美国国家航空航天局;
关键词
absolute calibration; characterization; Internal Calibrator (IC); Landsat; Landsat-5 (L5) Thematic Mapper (TM); Landgat-7 (L7) Enhanced Thematic Mapper Plus (ETM plus ); lookup table (LUT); radiance; radiometry; reflectance; relative spectral response; vicarious;
D O I
10.1109/TGRS.2004.836388
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The Landsat-5 Thematic Mapper (TM) sensor provides the longest running continuous dataset of moderate spatial resolution remote sensing imagery, dating back to its launch in March 1984. Historically, the radiometric calibration procedure for this imagery used the instrument's response to the Internal Calibrator (IC) on a scene-by-scene basis to determine the gain and offset of each detector. Due to observed degradations in the IC, a new procedure was implemented for U.S.-processed data in May 2003. This new calibration procedure is based on a lifetime radiometric calibration model for the instrument's reflective bands (1-5 and 7) and is derived, in part, from the IC response without the related degradation effects and is tied to the cross calibration with the Landsat-7 Enhanced Thematic Mapper Plus. Reflective-band absolute radiometric accuracy of the instrument tends. to be on the order of 7% to 10%, based on a variety of calibration methods.
引用
收藏
页码:2747 / 2760
页数:14
相关论文
共 50 条
  • [41] Mapping geological features of the Jharia coalfield from Landsat-5 TM data
    Dept Geology + Geophysics, Indian Inst of Technology, Kharagpur 721302, India
    Int J Remote Sens, 16 (3257-3270):
  • [42] Retrospective tillage differentiation using the Landsat-5 TM archive with discriminant analysis
    Sharma, Sonisa
    Dhakal, Kundan
    Wagle, Pradeep
    Kilic, Ayse
    AGROSYSTEMS GEOSCIENCES & ENVIRONMENT, 2020, 3 (01)
  • [43] Water quality assessment with simultaneous Landsat-5 TM at Manzala Lagoon, Egypt
    Dewidar, K
    Khedr, A
    HYDROBIOLOGIA, 2001, 457 (1-3) : 49 - 58
  • [44] Monitoring Lake Simcoe Water Clarity Using Landsat-5 TM Images
    Xian Guan
    Jonathan Li
    William G. Booty
    Water Resources Management, 2011, 25 : 2015 - 2033
  • [45] Monitoring Lake Simcoe Water Clarity Using Landsat-5 TM Images
    Guan, Xian
    Li, Jonathan
    Booty, William G.
    WATER RESOURCES MANAGEMENT, 2011, 25 (08) : 2015 - 2033
  • [46] RELATIONSHIP BETWEEN TM/LANDSAT-5 SPECTRAL RESPONSE AND COFFEE AGRONOMIC VARIABLES
    EPIPHANIO, JCN
    LEONARDI, L
    FORMAGGIO, AR
    PESQUISA AGROPECUARIA BRASILEIRA, 1994, 29 (03) : 439 - 447
  • [47] A method to evaluate the capability of Landsat-5 TM band 6 data for sub-pixel coal fire detection
    Zhang, XM
    VanGenderen, JL
    Kroonenberg, SB
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (15) : 3279 - 3288
  • [48] Absolute Radiometric Calibration of Broadband X-Band Transponders
    Raab, Sebastian
    Schmidt, Kersten
    Weidenhaupt, Klaus
    Reimann, Jens
    Buchner, Anna Maria
    Schwerdt, Marco
    13TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR, EUSAR 2021, 2021, : 790 - 794
  • [49] Monitoring of a rice field using Landsat-5 TM and Landsat-7 ETM+ data
    Oguro, Y
    Suga, Y
    Takeuchi, S
    Ogawa, H
    Tsuchiya, K
    CALIBRATION, CHARACTERIZATION OF SATELLITE SENSORS, PHYSICAL PARAMETERS DERIVED FROM SATELLITE DATA, 2003, 32 (11): : 2223 - 2228
  • [50] Temporal influences on Landsat-5 Thematic Mapper image in visible band
    Liu, Y.
    Hiyama, T.
    Kimura, R.
    Yamaguchi, Y.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (15) : 3183 - 3201