Assimilation of LAI and Dry Biomass Data from Optical and SAR Images into an Agro-Meteorological Model to Estimate Soybean Yield

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 6, 2016, Pages 2540-2553

  Betbeder, Julie ^a   Fieuzal, Remy ^a   Baup, Frederic ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Agro meteorological model; dry biomass (DB); leaf area index (LAI); multipolarization; optical; polarimetric indicators; simple algorithm for yield estimates coupled to a water balance model (SAFY WB); soybean; synthetic aperture radar (SAR) time series; yield

Indexed keywords

AGRICULTURE; BACKSCATTERING; CROPS; GEOMETRICAL OPTICS; SATELLITES; SPACE-BASED RADAR; SUSTAINABLE DEVELOPMENT; SYNTHETIC APERTURE RADAR; VEGETATION;

AGRICULTURAL LANDSCAPES; BACKSCATTERING COEFFICIENTS; INCIDENCE ANGLES; METEOROLOGICAL MODELING; RADARSAT-2 IMAGES; SATELLITE IMAGES; SUSTAINABLE MANAGEMENT; VEGETATION CYCLES;

RADAR IMAGING;

BIOMASS; CROP YIELD; DATA ASSIMILATION; ESTIMATION METHOD; LEAF AREA INDEX; NDVI; OPTICAL METHOD; RADARSAT; SOYBEAN; SYNTHETIC APERTURE RADAR; TIME SERIES; WATER BUDGET;

GLYCINE MAX;

EID: 84979725341     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2541169     Document Type: Article

References (52)

1. N. Brisson et al., "An overview of the crop model stics," Eur. J. Agron., vol. 18, no. 3-4, pp. 309-332, 2003.
2. B. Duchemin, P. Maisongrande, G. Boulet, I. Benhadj, "A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index," Environ. Model. Software, vol. 23, no. 7, pp. 876-892, 2008.
3. J. Aschbacher and M. P. Milagro-Pérez, "The European earth monitoring (GMES) programme: Status and perspectives," Remote Sens. Environ., vol. 120, pp. 3-8, 2012.
4. J. Liu, E. Pattey, G. Jégo, "Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons," Remote Sens. Environ., vol. 123, pp. 347-358, 2012.
5. S. Moulin, A. Bondeau, R. Delecolle, "Combining agricultural crop models and satellite observations: From field to regional scales," Int. J. Remote Sens., vol. 19, no. 6, pp. 1021-1036, 1998.
6. 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., vol. 19, no. 3-4, pp. 377-412, 2005.
7. J. Liu et al., "Quantifying crop biomass accumulation using multitemporal optical remote sensing observations," in Proc. 30th Can. Symp. Remote Sens./30e Symp. Canadien sur la télédétection, Lethbridge, AB, Canada, Jun. 22-25, 2009, 10 pp.
8. M. Claverie et al., "Maize and sunflower biomass estimation in southwest France using high spatial and temporal resolution remote sensing data," Remote Sens. Environ., vol. 124, pp. 844-857, 2012.
9. 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., vol. 81, no. 1, pp. 57-69, 2000.
10. D. B. Lobell, G. P. Asner, J. I. Ortiz-Monasterio, T. L. Benning, "Remote sensing of regional crop production in the Yaqui Valley, Mexico: Estimates and uncertainties," Agric. Ecosyst. Environ., vol. 94, no. 2, pp. 205-220, 2003.
11. J.-S. Lee and E. Pottier, Polarimetric Radar Imaging: From Basics to Applications. Boca Raton, FL, USA: CRC Press, 2009.
12. G. Wiseman, H. McNairn, S. Homayouni, J. Shang, "RADARSAT-2 polarimetric SAR response to crop biomass for agricultural production monitoring," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 11, pp. 4461-4471, Nov. 2014.
13. N. Baghdadi, N. Boyer, P. Todoroff, M. El Hajj, A. Bégué, "Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island," Remote Sens. Environ., vol. 113, no. 8, pp. 1724-1738, 2009.
14. R. Fieuzal, F. Baup, 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., vol. 2, p. 162, 2013.
15. H. McNairn and B. Brisco, "The application of C-band polarimetric SAR for agriculture: A review," Can. J. Remote Sens., vol. 30, no. 3, pp. 525-542, 2004.
16. J. Álvarez-Mozos, N. E. C. Verhoest, A. Larranãga, J. Casalí, M. González-Audícana, "Influence of surface roughness spatial variability and temporal dynamics on the retrieval of soil moisture from SAR observations," Sensors, vol. 9, no. 1, pp. 463-489, 2009.
17. F. Baup, E. Mougin, P. de Rosnay, F. Timouk, I. Chênerie, "Surface soil moisture estimation over the AMMA Sahelian site in Mali using ENVISAT/ASAR data," Remote Sens. Environ., vol. 109, no. 4, pp. 473-481, 2007.
18. X. Jiao, H. McNairn, J. Shang, E. Pattey, J. Liu, C. Champagne, "The sensitivity of RADARSAT-2 polarimetric SAR data to corn and soybean leaf area index," Can. J. Remote Sens., vol. 37, no. 1, pp. 69-81, 2011.
19. G. Macelloni, S. Paloscia, P. Pampaloni, F. Marliani, M. Gai, "The relationship between the backscattering coefficient and the biomass of narrow and broad leaf crops," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 4, pp. 873-884, Apr. 2001.
20. F. T. Ulaby, G. A. Bradley, M. C. Dobson, "Microwave backscatter dependence on surface roughness, soil moisture, soil texture: Part IIvegetation-covered soil," IEEE Trans. Geosci. Electron., vol. 17, no. 2, pp. 33-40, Apr. 1979.
21. J. W. Cable, J. M. Kovacs, J. Shang, X. Jiao, "Multi-temporal polarimetric RADARSAT-2 for land cover monitoring in Northeastern Ontario, Canada," Remote Sens., vol. 6, no. 3, pp. 2372-2392, 2014.
22. Y. Kim, T. Jackson, R. Bindlish, H. Lee, S. Hong, "Radar vegetation index for estimating the vegetation water content of rice and soybean," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 4, p. 564-568, Jul. 2012.
23. M. Hosseini, H. McNairn, A. Merzouki, A. Pacheco, "Estimation of leaf area index (LAI) in corn and soybeans using multi-polarization C-and L-band radar data," Remote Sens. Environ., vol. 170, pp. 77-89, 2015.
24. 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., vol. 7, no. 10, p. 13251-13272, 2015.
25. M. S. Moran, L. Alonso, J. F. Moreno, M. Pilar Cendrero Mateo, D. Fernando de la Cruz, A. Montoro, "A RADARSAT-2 quadpolarized time series for monitoring crop and soil conditions in Barrax, Spain," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 4, p. 1057-1070, Apr. 2012.
26. S. Gao, Z. Niu, N. Huang, X. Hou, "Estimating the leaf area index, height and biomass of maize using HJ-1 and RADARSAT-2," Int. J. Appl. Earth Observ. Geoinf., vol. 24, pp. 1-8, 2013.
27. K. Li, B. Brisco, S. Yun, R. Touzi, "Polarimetric decomposition with RADARSAT-2 for rice mapping and monitoring," Can. J. Remote Sens., vol. 38, no. 2, p. 169-179, 2012.
28. Y. Shao et al., "Rice monitoring and production estimation using multitemporal RADARSAT," Remote Sens. Environ., vol. 76, no. 3, p. 310-325, 2001.
29. L. Prévot, H. Chauki, D. Troufleau, M. Weiss, F. Baret, N. Brisson, "Assimilating optical and radar data into the STICS crop model for wheat," Agronomie, vol. 23, no. 4, p. 297-303, 2003.
30. L. Dente, G. Satalino, F. Mattia, M. Rinaldi, "Assimilation of leaf area index derived from ASAR and MERIS data into CERES-wheat model to map wheat yield," Remote Sens. Environ., vol. 112, no. 4, pp. 1395-1407, 2008.
31. F. Baup, R. Fieuzal, J. Betbeder, "Estimation of soybean yield from assimilated optical and radar data into a simplified agrometeorological model," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS),Milan, Italy, 2015, pp. 3961-3964.
32. FAO. (2013). Food and Agriculture Organization of the United Nations Statistical Databases [Online]. Available: http://faostat.fao.org/
33. 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., vol. 7, no. 5, pp. 5951-5979, 2015.
34. C. Marais Sicre, F. Baup, R. Fieuzal, "Determination of the crop row orientations from Formosat-2 multi-temporal and panchromatic images," ISPRS J. Photogramm. Remote Sens., vol. 94, pp. 127-142, 2014.
35. F. Baup et al., "MCM'10: An experiment for satellite multi-sensors crop monitoring from high to low resolution observations," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), 2012, pp. 4849-4852.
36. H. Bleiholder et al., "Growth stages of mono-and dicotyledonous plants, BBCH monograph," Federal Biological Research Centre for Agriculture and Forestry, Berlin/Braunschweig, Germany, 2001, p. 158.
37. R. Allen, L. Pereira, D. Raes, M. Smith, Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56. Rome, Italy: FAO, 1998, vol. 300, no. 9, p. D05109.
38. A. Sand and H. De Boissezon, "Reference remote sensing data bases: Temporal series of calibrated and ortho-rectified satellite images for scientific use," in Proc. 2nd Int. Symp. Recent Adv. Quant. Remote Sens., Valencia, Spain, 2006.
39. D. Haboudane, J. R. Miller, E. Pattey, P. J. Zarco-Tejada, I. B. Strachan, "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., vol. 90, no. 3, pp. 337-352, 2004.
40. H. McNairn, J. Shang, X. Jiao, B. Deschamps, "Establishing crop productivity using RADARSAT-2," Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., vol. 39, p. B8, 2012.
41. RADARSAT International, RADARSAT Data Product Specification, Tech. Rep., Doc. No. RSI-GS-026, Rev. 3/0. May 8, 2000, 133 p.
42. E. Pottier and L. Ferro-Famil, "PolSARPro V5.0: An ESA educational toolbox used for self-education in the field of POLSAR and POL-INSAR data analysis," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), 2012, pp. 7377-7380.
43. S. R. Cloude and E. Pottier, "An entropy based classification scheme for land applications of polarimetric SAR," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 1, pp. 68-78, Jan. 1997.
44. A. Freeman and S. L. Durden, "A three-component scattering model for polarimetric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 3, pp. 963-973, May 1998.
45. F. Mattia et al., "Multitemporal C-band radar measurements on wheat fields," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 7, pp. 1551-1560, Jul. 2003.
46. H. Skriver, M. T. Svendsen, A. G. Thomsen, "Multitemporal C-and L-band polarimetric signatures of crops," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2413-2429, Sep. 1999.
47. F. T. Ulaby, R. K. Moore, A. K. Fung, Microwave Remote Sensing, vol. 3. Norwood, MA, USA: Artech House, 1986.
48. F. Baup, E. Mougin, P. Hiernaux, A. Lopes, P. de Rosnay, I. Chenerie, "Radar signatures of sahelian surfaces in mali using ENVISAT-ASAR data," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 7, pp. 2354-2363, Jul. 2007.
49. A. Balenzano, F. Mattia, G. Satalino, M. Davidson, "Dense temporal series of C-and L-band SAR data for soil moisture retrieval over agricultural crops," IEEE J. Sel. Topics. Appl. Earth Observ. Remote Sens., vol. 4, no. 2, pp. 439-450, Jun. 2011.
50. C. S. T. Daughtry, K. P. Gallo, S. N. Goward, S. D. Prince, W. P. Kustas, "Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies," Remote Sens. Environ., vol. 39, no. 2, pp. 141-152, 1992.
51. D. B. Egli andW. Bruening, "Planting date and soybean yield: Evaluation of environmental effects with a crop simulation model: SOYGRO," Agric. For. Meteorol., vol. 62, no. 1-2, pp. 19-29, 1992.
52. D. K. Bolton and M. A. Friedl, "Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics," Agric. For. Meteorol., vol. 173, pp. 74-84, 2013.