An application of the SFIM technique to enhance the spatial resolution of spaceborne microwave radiometers

被引:56
作者
Santi, E. [1 ]
机构
[1] Inst Appl Phys Nello Carrara IFAC, Natl Res Council, Florence, Italy
关键词
BRIGHTNESS TEMPERATURES; SSM/I; ALGORITHM; SOIL;
D O I
10.1080/01431160903005725
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Microwave radiometers operating from space are one of the most promising tools for soil, snow and vegetation monitoring, due to the sensitivity of the measured emission to surface features and to the extended and recursive Earth observation. However, these potentials are partially hampered by the coarse spatial resolution, which is of the order of tens of kilometres, especially at the lower frequencies. This paper describes the results obtained by using a simple algorithm for enhancing the spatial resolution of the spaceborne microwave radiometer at C-band. The algorithm is based on the smoothing filter-based intensity modulation technique (SFIM), applied to the Advanced Microwave Remote Scanning Radiometer-Earth Observing System (AMSR-E) data collected from some reference targets, including the Amazon river basin, Lake Victoria in Africa and the Antarctic plateau.
引用
收藏
页码:2419 / 2428
页数:10
相关论文
共 9 条
[1]  
[Anonymous], VISITOR STUDIES THEO
[2]   A prototype AMSR-E global snow area and snow depth algorithm [J].
Kelly, RE ;
Chang, AT ;
Tsang, L ;
Foster, JL .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (02) :230-242
[4]   Spatial resolution enhancement of SSM/I data [J].
Long, DG ;
Daum, DL .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (02) :407-417
[5]   Global scale monitoring of soil and vegetation using SSM/I and ERS wind scatterometer [J].
Macelloni, G ;
Paloscia, S ;
Pampaloni, P ;
Santi, E .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (12) :2409-2425
[6]   LAND-SURFACE-TYPE CLASSIFICATION USING MICROWAVE BRIGHTNESS TEMPERATURES FROM THE SPECIAL SENSOR MICROWAVE IMAGER [J].
NEALE, CMU ;
MCFARLAND, MJ ;
CHANG, K .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1990, 28 (05) :829-838
[7]  
PALOSCIA S, IEEE T GEOSCIENCE RE, V39, P1655
[8]   OPTIMUM INTERPOLATION OF IMAGING MICROWAVE RADIOMETER DATA [J].
POE, GA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1990, 28 (05) :800-810