Assessment of EOS aqua AMSR-E Arctic Sea ice concentrations using Landsat-7 and airborne microwave imagery

被引:51
作者
Cavalieri, Donald J. [1 ]
Markus, Thorsten
Hall, Dorothy K.
Gasiewski, Albin J.
Klein, Marian
Ivanoff, Alvaro
机构
[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[2] Univ Colorado, Dept Elect & Comp Engn, Boulder, CO 80309 USA
[3] Sci Syst & Applicat Inc, Lanham, MD 20706 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2006年 / 44卷 / 11期
基金
美国国家航空航天局;
关键词
advanced microwave scanning radiometer for; the earth observing system (AMSR-E); Arctic; sea ice concentration; validation;
D O I
10.1109/TGRS.2006.878445
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
An assessment of Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E) sea ice concentrations under winter conditions using ice concentrations derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) imagery obtained during the March 2003 Arctic sea ice validation field campaign is presented. The National Oceanic and Atmospheric Administration Environmental Technology Laboratory's Airborne Polarimetric Scanning Radiometer Measurements, which were made from the National Aeronautics and Space Administration P 3B aircraft during the campaign, were used primarily as a diagnostic tool to understand the comparative results and to suggest improvements to the AMSR-E ice concentration algorithm. Based on the AMSR-E/ETM+ comparisons, a good overall agreement with little bias (similar to 1%) for areas of first year and young sea ice was found. Areas of new ice production result in a negative bias of about 5% in the AMSR-E ice concentration retrievals, with a root mean square error of 8%. Some areas of deep snow also resulted in an underestimate of the ice concentration (similar to 10%). For all ice types combined and for the full range of ice concentrations, the bias ranged from 0% to 3%, and the rms errors ranged from 1% to 7 %, depending on the region. The new-ice and deep-snow biases are expected to be reduced through an adjustment of the new-ice and ice-type C algorithm tie points.
引用
收藏
页码:3057 / 3069
页数:13
相关论文
共 16 条
[1]   Status of Terra MODIS and Aqua MODIS [J].
Barnes, WL ;
Xiong, X ;
Salomonson, VV .
CALIBRATION, CHARACTERIZATION OF SATELLITE SENSORS, PHYSICAL PARAMETERS DERIVED FROM SATELLITE DATA, 2003, 32 (11) :2099-2106
[2]  
Cavalieri DJ, 2006, IEEE T GEOSCI REMOTE, V44, P3003, DOI 10.1109/TGRS.2006.883133
[3]   Sea ice concentration, ice temperature, and snow depth using AMSR-E data [J].
Comiso, JC ;
Cavalieri, DJ ;
Markus, T .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (02) :243-252
[4]   Evolution of electromagnetic signatures of sea ice from initial formation to the establishment of thick first-year ice [J].
Grenfell, TC ;
Barber, DG ;
Fung, AK ;
Gow, AJ ;
Jezek, KC ;
Knapp, EJ ;
Nghiem, SV ;
Onstott, RG ;
Perovich, DK ;
Roesler, CS ;
Swift, CT ;
Tanis, F .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (05) :1642-1654
[5]   Sea ice surface temperature product from MODIS [J].
Hall, DK ;
Key, JR ;
Casey, KA ;
Riggs, GA ;
Cavalieri, DJ .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (05) :1076-1087
[6]   Assessment of the AMSR-E sea ice concentration product at the ice edge using RADARSAT-1 and MODIS imagery [J].
Heinrichs, John F. ;
Cavalieri, Donald J. ;
Markus, Thorsten .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (11) :3070-3080
[7]   An enhancement of the NASA Team sea ice algorithm [J].
Markus, T ;
Cavalieri, DJ .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (03) :1387-1398
[8]  
MARKUS T., 1998, ANTAR RES S, P19, DOI 10.1029/AR074p0019
[9]   Microwave signatures of snow on sea ice: Observations [J].
Markus, Thorsten ;
Cavalieri, Donald J. ;
Gasiewski, Albin J. ;
Klein, Marian ;
Maslanik, James A. ;
Powell, Dylan C. ;
Stankov, B. Boba ;
Stroeve, Julienne C. ;
Sturm, Matthew .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (11) :3081-3090
[10]  
MCKENNA P, 2002, P IGARSS TOR ON CAN, P2179