Potentials of polarimetric SAR interferometry for agriculture monitoring

被引:60
作者
Lopez-Sanchez, Juan M. [1 ]
David Ballester-Berman, J. [1 ]
机构
[1] Univ Alicante, Signals Syst & Telecommun Grp, E-03080 Alicante, Spain
关键词
C-BAND; RADAR MEASUREMENTS; X-BAND; SCATTERING MODEL; COHERENCE; BACKSCATTER; INVERSION; PARAMETERS; RETRIEVAL; CANOPY;
D O I
10.1029/2008RS004078
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
This paper is aimed to define the main specifications and system requirements of a future spaceborne synthetic aperture radar (SAR) mission with polarimetric and interferometric capabilities, to be applied in agriculture monitoring. Firstly, a previous discussion concerning the applications of remote sensing to agriculture and the requirements demanded by end users is introduced. Then, a review of polarimetric SAR and interferometric SAR techniques employed in agriculture is performed in order to explore and justify the potential contributions to crop parameter retrieval of polarimetric SAR interferometry (PolInSAR). The current status of the research about PolInSAR when applied to the retrieval of biophysical parameters of agricultural crops is also addressed, covering recent advances in theoretical modeling aspects (both direct and inverse models), the validation carried out so far with indoor data, and complementary information provided by other different but related experiments. From this experience, we describe some system specifications that will be important for the success of this technique. Among them it is emphasized the need of baselines larger than usual, medium-high frequency band, and a mandatory single-pass mode for overcoming temporal decorrelation. Finally, a set of future experiments is also proposed for additional testing and confirmation of observations made so far regarding minimum baseline requirements, temporal evolution of observables and modeling issues, among others.
引用
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页数:20
相关论文
共 73 条
[1]  
*AGRISAR WEB, 2007, P AGRISAR EAGLE CAMP
[2]  
[Anonymous], BBCH MONOGR
[3]   Methods and examples for remote sensing data assimilation in land surface process modeling [J].
Bach, H ;
Mauser, W .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (07) :1629-1637
[4]   Large-area maize yield forecasting using leaf area index based yield model [J].
Baez-Gonzalez, AD ;
Kiniry, JR ;
Maas, SJ ;
Tiscareno, M ;
Macias, J ;
Mendoza, JL ;
Richardson, CW ;
Salinas, J ;
Manjarrez, JR .
AGRONOMY JOURNAL, 2005, 97 (02) :418-425
[5]   Coherence loci for a homogeneous volume over a double-bounce ground return [J].
Ballester-Berman, J. David ;
Lopez-Sanchez, Juan M. .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2007, 4 (02) :317-321
[6]   Retrieval of biophysical parameters of agricultural crops using polarimetric SAR interferometry [J].
Ballester-Berman, JD ;
Lopez-Sanchez, JM ;
Fortuny-Guasch, J .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (04) :683-694
[7]   C-band polarimetric indexes for maize monitoring based on a validated radiative transfer model [J].
Blaes, X ;
Defourny, P ;
Wegmüller, U ;
Della Vecchia, A ;
Guerriero, L ;
Ferrazzoli, P .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (04) :791-800
[8]  
BOERNER WM, 1998, MANUAL REMOTE SENSIN, V8
[9]   MULTITEMPORAL, MULTIFREQUENCY RADAR MEASUREMENTS OF AGRICULTURAL CROPS DURING THE AGRISCATT-88 CAMPAIGN IN THE NETHERLANDS [J].
BOUMAN, BAM ;
HOEKMAN, DH .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (08) :1595-1614
[10]   An agroecological modeling approach to explain ERS SAR radar backscatter of agricultural crops [J].
Bouman, BAM ;
van Kraalingen, DWG ;
Stol, W ;
van Leeuwen, HJC .
REMOTE SENSING OF ENVIRONMENT, 1999, 67 (02) :137-146