Contribution of multitemporal polarimetric synthetic aperture radar data for monitoring winter wheat and rapeseed crops

Journal of Applied Remote Sensing

Volumn 10, Issue 2, 2016, Pages

  Betbeder, Julie ^a   Fieuzal, Remy ^a   Philippets, Yannick ^a,b   Ferro Famil, Laurent ^c   Baup, Frederic ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b Ecole Nationale de Sciences Géographiques ENSG   (France)

^c UNIVERSITÉ DE RENNES 1   (France)

Author keywords

Crop height; Dry biomass; Formosat 2; Leaf area index; Normalized difference vegetation index; Polarimetry; Radarsat 2; Rapeseed; Spot; Synthetic aperture radar; Temporal signatures; Winter wheat

Indexed keywords

BACKSCATTERING; CROPS; ECOLOGY; ELLIPSOMETRY; GEOMETRICAL OPTICS; OILSEEDS; PARAMETER ESTIMATION; POLARIMETERS; RADAR IMAGING; VEGETATION;

CROP HEIGHT; DRY BIOMASS; FORMOSAT-2; LEAF AREA INDEX; NORMALIZED DIFFERENCE VEGETATION INDEX; RADARSAT-2; RAPESEED; SPOT; TEMPORAL SIGNATURES; WINTER WHEAT;

SYNTHETIC APERTURE RADAR;

EID: 84977641072     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.10.026020     Document Type: Article

References (55)

1. C. Atzberger, "Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs," Remote Sens. 5, 949-981 (2013).
2. B. Grieve et al., "Localized multispectral crop imaging sensors: Engineering & validation of a cost effective plant stress and disease sensor," in 2015 IEEE Sensors Applications Symp., pp. 1-6 (2015).
3. B. Duchemin et al., "Impact of sowing date on yield and water use efficiency of wheat analyzed through spatial modeling and FORMOSAT-2 images," Remote Sens. 7, 5951- 5979 (2015).
4. D. J. Mulla, "Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps," Biosyst. Eng. 114, 358-371 (2013).
5. J. Betbeder, R. Fieuzal, and F. Baup, "Assimilation of LAI and dry biomass data from optical and SAR images into an agro-meteorological model to estimate soybean yield," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. (in press).
6. M. Claverie et al., "Maize and sunflower biomass estimation in southwest France using high spatial and temporal resolution remote sensing data," Remote Sens. Environ. 124, 844-857 (2012).
7. B. Duchemin et al., "A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index," Environ. Model. Softw. 23, 876-892 (2008).
8. J. Liu, E. Pattey, and G. Jégo, "Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons," Remote Sens. Environ. 123, 347-358 (2012).
9. D. Haboudane et al., "Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture," Remote Sens. Environ. 90, 337-352 (2004).
10. F. T. Ulaby, R. K. Moore, and A. K. Fung, Microwave Remote Sensing, Vol. 3, Artech House Publishers, Norwood, Massachusetts (1986).
11. H. Skriver, M. T. Svendsen, and A. G. Thomsen, "Multitemporal C- And L-band polarimetric signatures of crops," IEEE Trans. Geosci. Remote Sens. 37, 2413-2429 (1999).
12. F. Mattia et al., "Multitemporal C-band radar measurements on wheat fields," IEEE Trans. Geosci. Remote Sens. 41, 1551-1560 (2003).
13. H. McNairn and B. Brisco, "The application of C-band polarimetric SAR for agriculture: A review," Can. J. Remote Sens. 30, 525-542 (2004).
14. A. Balenzano et al., "Dense temporal series of C- And L-band SAR data for soil moisture retrieval over agricultural crops," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 4, 439- 450 (2011).
15. M. Aubert et al., "Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust," Remote Sens. Environ. 115, 1801-1810 (2011).
16. F. Wu et al., "Rice crop monitoring in south china with RADARSAT-2 quad-polarization SAR data," IEEE Geosci. Remote Sens. Lett. 8, 196-200 (2011).
17. R. Fieuzal, F. Baup, and C. Marais-Sicre, "Monitoring wheat and rapeseed by using synchronous optical and radar satellite data-from temporal signatures to crop parameters estimation," Adv. Remote Sens. 2, 162-180 (2013).
18. C. Liu et al., "Multiyear crop monitoring using polarimetric RADARSAT-2 data," IEEE Trans. Geosci. Remote Sens. 51, 2227-2240 (2013).
19. G. Wiseman et al., "RADARSAT-2 polarimetric SAR response to crop biomass for agricultural production monitoring," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 7, 4461-4471 (2014).
20. S. Paloscia et al., "The potential of C- And L-band SAR in estimating vegetation biomass: The ERS-1 and JERS-1 experiments," IEEE Trans. Geosci. Remote Sens. 37, 2107-2110 (1999).
21. N. Baghdadi et al., "Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island," Remote Sens. Environ. 113, 1724-1738 (2009).
22. G. Fontanelli et al., "Sensitivity analysis of X-band SAR to wheat and barley leaf area index in the Merguellil Basin," Remote Sens. Lett. 4, 1107-1116 (2013).
23. J. M. Lopez-Sanchez, I. Hajnsek, and J. D. Ballester-Berman, "First demonstration of agriculture height retrieval with PolInSAR airborne data," IEEE Geosci. Remote Sens. Lett. 9, 242-246 (2012).
24. J.-S. Lee and E. Pottier, Polarimetric Radar Imaging: From Basics to Applications, CRC Press, Boca Raton, Florida (2009).
25. X. Jiao et al., "The sensitivity of RADARSAT-2 polarimetric SAR data to corn and soybean leaf area index," Can. J. Remote Sens. 37, 69-81 (2011).
26. Y. Kim et al., "Radar vegetation index for estimating the vegetation water content of rice and soybean," IEEE Geosci. Remote Sens. Lett. 9, 564-568 (2012).
27. S. Gao et al., "Estimating the leaf area index, height and biomass of maize using HJ-1 and RADARSAT-2," Int. J. Appl. Earth Obs. Geoinf. 24, 1-8 (2013).
28. M. Hosseini et al., "Estimation of leaf area index (LAI) in corn and soybeans using multipolarization C- And L-band radar data," Remote Sens. Environ. 170, 77-89 (2015).
29. X. Jin et al., "Combined multi-temporal optical and radar parameters for estimating LAI and biomass in winter wheat using HJ and RADARSAR-2 data," Remote Sens. 7, 13251-13272 (2015).
30. L. Dente et al., "Assimilation of leaf area index derived from ASAR and MERIS data into CERES-Wheat model to map wheat yield," Remote Sens. Environ. 112, 1395-1407 (2008).
31. R. Fieuzal and F. Baup, "Estimation of sunflower yield using multi-spectral satellite data (optical or radar) in a simplified agro-meteorological model," in 2015 IEEE Int. Geoscience and Remote Sensing Symp., pp. 4001-4004, IEEE (2015).
32. F. Baup, R. Fieuzal, and J. Betbeder, "Estimation of soybean yield from assimilated optical and radar data into a simplified agrometeorological model," in 2015 IEEE Int. Geoscience and Remote Sensing Symp., pp. 3961-3964 (2015).
33. S. Moulin, A. Bondeau, and R. Delecolle, "Combining agricultural crop models and satellite observations: From field to regional scales," Int. J. Remote Sens. 19, 1021-1036 (1998).
34. M. Guérif and C. L. Duke, "Adjustment procedures of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation," Agric. Ecosyst. Environ. 81, 57-69 (2000).
35. D. B. Lobell et al., "Remote sensing of regional crop production in the Yaqui Valley, Mexico: Estimates and uncertainties," Agric. Ecosyst. Environ. 94, 205-220 (2003).
36. A. Olioso et al., "Future directions for advanced evapotranspiration modeling: Assimilation of remote sensing data into crop simulation models and SVAT models," Irrig. Drain. Syst. 19, 377-412 (2005).
37. L'Observatoire Midi-Pyrénées, Observatoire Spatial Régional (OSR), http: //www.obs-mip. fr/services-observation/soa/OSR (2013).
38. C. Marais Sicre, F. Baup, and R. Fieuzal, "Determination of the crop row orientations from Formosat-2 multi-temporal and panchromatic images," ISPRS J. Photogramm. Remote Sens. 94, 127-142 (2014).
39. F. Baup et al., "MCM'10: An experiment for satellite multi-sensors crop monitoring from high to low resolution observations," in 2012 IEEE Int. Geoscience and Remote Sensing Symp., pp. 4849-4852 (2012).
40. H. Bleiholder et al., "Growth stages of mono-and dicotyledonous plants, BBCH monograph," Federal Biological Research Centre for Agriculture and Forestry, Berlin/Braunschweig, Germany, p. 158 (2001).
41. European Soil Bureau Working Group, "Hydraulic properties of European soils (HYPRES)," Texture Classes. HYPRES Website, http: //www.macaulay.ac.uk/hypres/ hypressoil.html (1997).
42. A. Sand and H. De Boissezon, "Reference remote sensing data bases: Temporal series of calibrated and ortho-rectified satellite images for scientific use," in 2nd Int. Symp. on Recent Advances in Quantitative Remote Sensing (2006).
43. O. Hagolle et al., "A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENμS, LANDSAT and SENTINEL-2 images," Remote Sens. Environ. 114, 1747-1755 (2010).
44. J. Liu et al., "Quantifying crop biomass accumulation using multi-temporal optical remote sensing observations," in 30th Canadian Symp. on Remote Sensing (2009).
45. H. McNairn et al., "Establishing crop productivity using RADARSAT-2," Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 39, B8 (2012).
46. V. Demarez et al., "Estimation of leaf area and clumping indexes of crops with hemispherical photographs," Agric. For. Meteorol. 148, 644-655 (2008).
47. P. Dusseux et al., "Combined use of multi-temporal optical and radar satellite images for grassland monitoring," Remote Sens. 6, 6163-6182 (2014).
48. W. Li et al., "A generic algorithm to estimate LAI, FAPAR and FCOVER variables from SPOT4-HRVIR and landsat sensors: Evaluation of the consistency and comparison with ground measurements," Remote Sens. 7, 15494-15516 (2015).
49. RADARSAT International, "RADARSAT Data Product Specification," Technical Report, Doc. No. RSI-GS-026, Rev. 3/0, p. 133, (2000).
50. E. Pottier and L. Ferro-Famil, "PolSARPro V5.0: An ESA educational toolbox used for selfeducation in the field of POLSAR and POL-INSAR data analysis," in 2012 IEEE Int. Geoscience and Remote Sensing Symp., pp. 7377-7380 (2012).
51. S. R. Cloude and E. Pottier, "An entropy based classification scheme for land applications of polarimetric SAR," IEEE Trans. Geosci. Remote Sens. 35, 68-78 (1997).
52. A. Freeman and S. L. Durden, "A three-component scattering model for polarimetric SAR data," IEEE Trans. Geosci. Remote Sens. 36, 963-973 (1998).
53. G. Cookmartin et al., "Modeling microwave interactions with crops and comparison with ERS-2 SAR observations," IEEE Trans. Geosci. Remote Sens. 38, 658-670 (2000).
54. J.W. Cable et al., "Multi-temporal polarimetric RADARSAT-2 for land cover monitoring in Northeastern Ontario, Canada," Remote Sens. 6, 2372-2392 (2014).
55. H. Yang et al., "Potential of fully polarimetric SAR data for crops biophysical parameters retrieval," in 2012 First Int. Conf. on Agro-Geoinformatics, pp. 1-5 (2012).