Rice Growth Monitoring by Means of X-Band Co-polar SAR: Feature Clustering and BBCH Scale

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 6, 2015, Pages 1218-1222

  Yuzugullu, Onur ^a   Erten, Esra ^b   Hajnsek, Irena ^a,c  

^a ETH ZURICH   (Switzerland)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Agriculture; Biologische Bundesanstalt, Bundessortenamt und CHemische Industrie (BBCH) scale; feature clustering; heterogeneity; monitoring; polarimetry; rice phenology; synthetic aperture radar (SAR); X band

Indexed keywords

AGRICULTURE; BIOLOGY; COBALT COMPOUNDS; CULTIVATION; ENVIRONMENTAL IMPACT; MONITORING; POLARIMETERS; REMOTE SENSING; VECTOR SPACES;

BIOLOGISCHE BUNDESANSTALT, BUNDESSORTENAMT UND CHEMISCHE INDUSTRIE (BBCH) SCALE; FEATURE CLUSTERING; HETEROGENEITY; RICE PHENOLOGY; X BANDS;

SYNTHETIC APERTURE RADAR;

EID: 85027941759     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2015.2388953     Document Type: Article

References (14)

1. P. Lancashire et al., "A uniform decimal code for growth stages of crops and weeds," Ann. Appl. Biol., vol. 119, no. 3, pp. 561-601, Dec. 1991.
2. J. Lopez-Sanchez, S. Cloude, and J. Ballester-Berman, "Rice phenology monitoring by means of SAR polarimetry at X-Band," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 7, pp. 2695-2709, Jul. 2012.
3. C. Rossi and E. Erten, "Paddy rice monitoring using TanDEM-X," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 2, pp. 900-910, Feb. 2015.
4. F. S. Chapin, A. J. Bloom, C. B. Field, and R. H. Waring, "Plant responses to multiple environmental factors," Bioscience, vol. 37, no. 1, pp. 49-57, Jan. 1987.
5. T. Le Toan et al., "Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 1, pp. 41-56, Jan. 1997.
6. Y. Oh, S. Hong, Y. Kim, J. Hong, and Y. Kim, "Polarimetric backscattering coefficients of flooded rice fields at L-and C-bands: Measurements, modeling, and data analysis," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2714-2721, Aug. 2009.
7. Y. Inoue et al., "Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables," Remote Sens. Environ., vol. 81, no. 2/3, pp. 194-204, Aug. 2002.
8. W. Koppe et al., "Rice monitoring with multi-temporal and dual-polarimetric TerraSAR-X data," Int. J. Appl. Earth Obser. Geoinf., vol. 21, pp. 568-576, Apr. 2013.
9. F. Vicente-Guijalba, T. Martinez-Marin, and J. Lopez-Sanchez, "Crop phenology estimation using a multitemporal model and a Kalman filtering strategy," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 6, pp. 1081-1085, Jun. 2014.
10. J. Lopez-Sanchez, F. Vicente-Guijalba, J. Ballester-Berman, and S. Cloude, "Polarimetric response of rice fields at C-Band: Analysis and phenology retrieval," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 2977-2993, May 2014.
11. J. Maclean and D. Dawe, Rice Almanac. Wallingford, U.K.: CABI, 2002.
12. J.-S. Lee, "Speckle suppression and analysis for synthetic aperture radar images," Optical Engineering, vol. 25, no. 5, pp. 636-643, May 1986.
13. J. A. Hartigan and M. A. Wong, "Algorithm as 136: A K-means clustering algorithm," J. Roy. Statist. Society. Series C (Applied Statistics), vol. 28, no. 1, pp. 100-108, 1979.
14. A. Bouvet, T. Le Toan, and N. Lam-Dao, "Monitoring of the rice cropping system in the Mekong Delta using ENVISAT/ASAR dual polarization data," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 2, pp. 517-526, Feb. 2009.