User menu

Maize Leaf Area Index Retrieval from Synthetic Quad Pol SAR Time Series Using the Water Cloud Model

Bibliographic reference Bériaux, Emilie ; Waldner, François ; Collienne, François ; Bogaert, Patrick ; Defourny, Pierre. Maize Leaf Area Index Retrieval from Synthetic Quad Pol SAR Time Series Using the Water Cloud Model. In: Remote Sensing, Vol. 7, no.12, p. 16204–16225 (3 December 2015)
Permanent URL
  1. Atzberger Clement, Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models, 10.1016/j.rse.2004.06.016
  2. Pasolli Luca, Asam Sarah, Castelli Mariapina, Bruzzone Lorenzo, Wohlfahrt Georg, Zebisch Marc, Notarnicola Claudia, Retrieval of Leaf Area Index in mountain grasslands in the Alps from MODIS satellite imagery, 10.1016/j.rse.2015.04.027
  3. Li Wenjuan, Weiss Marie, Waldner Francois, Defourny Pierre, Demarez Valerie, Morin David, Hagolle Olivier, Baret Frédéric, 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, 10.3390/rs71115494
  4. Fung, 1 (1994)
  5. Bracaglia M., Ferrazzoli P., Guerriero L., A fully polarimetric multiple scattering model for crops, 10.1016/0034-4257(95)00151-4
  6. Vecchia Andrea Della, Ferrazzoli Paolo, Guerriero Leila, Modelling microwave scattering from long curved leaves, 10.1088/0959-7174/14/2/012
  7. Hoekman, Earth Obs. Q., 61, 18 (1999)
  8. RICHARDS J. A., Radar backscatter modelling of forests: a review of current trends, 10.1080/01431169008955094
  9. Graham A. J., Harris R., Extracting biophysical parameters from remotely sensed radar data: a review of the water cloud model, 10.1191/0309133303pp378ra
  10. Prévot L., Champion I., Guyot G., Estimating surface soil moisture and leaf area index of a wheat canopy using a dual-frequency (C and X bands) scatterometer, 10.1016/0034-4257(93)90053-z
  11. Bertoldi Giacomo, Della Chiesa Stefano, Notarnicola Claudia, Pasolli Luca, Niedrist Georg, Tappeiner Ulrike, Estimation of soil moisture patterns in mountain grasslands by means of SAR RADARSAT2 images andhydrological modeling, 10.1016/j.jhydrol.2014.02.018
  12. Combal B, Baret F, Weiss M, Trubuil A, Macé D, Pragnère A, Myneni R, Knyazikhin Y, Wang L, Retrieval of canopy biophysical variables from bidirectional reflectance, 10.1016/s0034-4257(02)00035-4
  13. Jacquemoud, 339 (1993)
  14. Durbha Surya S., King Roger L., Younan Nicolas H., Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer, 10.1016/j.rse.2006.09.031
  15. Baret, 173 (2008)
  16. Attema E. P. W., Ulaby Fawwaz T., Vegetation modeled as a water cloud, 10.1029/rs013i002p00357
  17. Graham A. J., Harris R., Estimating crop and waveband specific water cloud model parameters using a theoretical backscatter model, 10.1080/0143116021000009516
  18. Bouman B.A.M., van Kraalingen D.W.G., Stol W., van Leeuwen H.J.C., An Agroecological Modeling Approach to Explain ERS SAR Radar Backscatter of Agricultural Crops, 10.1016/s0034-4257(98)00079-0
  19. BOUMAN B. A. M., GOUDRIAAN J., Estimation of crop growth from optical and microwave soil cover, 10.1080/01431168908904015
  20. Ulaby F.T., Allen C.T., Eger G., Kanemasu E., Relating the microwave backscattering coefficient to leaf area index, 10.1016/0034-4257(84)90010-5
  21. XU H., STEVEN M. D., JAGGARD K. W., Monitoring leaf area of sugar beet using ERS-1 SAR data, 10.1080/01431169608949158
  22. Svoray T., Shoshany M., SAR-based estimation of areal aboveground biomass (AAB) of herbaceous vegetation in the semi-arid zone: A modification of the water-cloud model, 10.1080/01431160110115924
  23. Shoshany M., Svoray T., Curran P. J., Foody G. M., Perevolotsky A., The relationship between ERS-2 SAR backscatter and soil moisture: Generalization from a humid to semi-arid transect, 10.1080/01431160050029620
  24. Champion I., Prevot L., Guyot G., Generalized semi-empirical modelling of wheat radar response, 10.1080/014311600209869
  25. Moran M.S., Vidal A., Troufleau D., Inoue Y., Mitchell T.A., Ku- and C-band SAR for discriminating agricultural crop and soil conditions, 10.1109/36.655335
  26. Kumar Kamal, Hari Prasad K.S., Arora M.K., Estimation of water cloud model vegetation parameters using a genetic algorithm, 10.1080/02626667.2012.678583
  27. Moulin Sophie, Fischer Alberte, Dedieu Gérard, Delécolle Richard, Temporal variations in satellite reflectances at field and regional scales compared with values simulated by linking crop growth and SAIL models, 10.1016/0034-4257(95)00141-7
  28. Blaes X., Defourny P., Wegmuller U., Della Vecchia A., Guerriero L., Ferrazzoli P., C-band polarimetric indexes for maize monitoring based on a validated radiative transfer model, 10.1109/tgrs.2005.860969
  29. Ulaby, 470 (1986)
  30. CHAMPION I., Simple modelling of radar backscattering coefficient over a bare soil: variation with incidence angle, frequency and polarization, 10.1080/01431169608949045
  31. Dabrowska-Zielinska K., Inoue Y., Kowalik W., Gruszczynska M., Inferring the effect of plant and soil variables on C- and L-band SAR backscatter over agricultural fields, based on model analysis, 10.1016/j.asr.2006.02.032
  32. Lambot S., Javaux M., Hupet F., Vanclooster M., A global multilevel coordinate search procedure for estimating the unsaturated soil hydraulic properties : GMCS-NMS INVERSION FOR SOIL HYDRAULIC FUNCTIONS, 10.1029/2001wr001224
  33. Brisco, 381 (1998)
  34. Clausnitzer V., Hopmans J. W., Starr J. L., Parameter Uncertainty Analysis of Common Infiltration Models, 10.2136/sssaj1998.03615995006200060002x
  35. Schweppe (1973)
  36. Hollenbeck K.J., Jensen K.H., Maximum-likelihood estimation of unsaturated hydraulic parameters, 10.1016/s0022-1694(98)00185-1
  37. Ferrazzoli P., Paloscia S., Pampaloni P., Schiavon G., Sigismondi S., Solimini D., The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass, 10.1109/36.551929
  38. Gao Shuai, Niu Zheng, Huang Ni, Hou Xuehui, Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2, 10.1016/j.jag.2013.02.002
  39. Moran M. Susan, Alonso Luis, Moreno Jose F., Cendrero Mateo Maria Pilar, de la Cruz D. Fernando, Montoro Amelia, A RADARSAT-2 Quad-Polarized Time Series for Monitoring Crop and Soil Conditions in Barrax, Spain, 10.1109/tgrs.2011.2166080
  40. Jiao Xianfeng, McNairn Heather, Shang Jiali, Pattey Elizabeth, Liu Jiangui, Champagne Catherine, The sensitivity of RADARSAT-2 polarimetric SAR data to corn and soybean leaf area index, 10.5589/m11-023
  41. Ferrazzoli P., Paloscia S., Pampaloni P., Schiavon G., Solimini D., Coppo P., Sensitivity of microwave measurements to vegetation biomass and soil moisture content: a case study, 10.1109/36.158869
  42. Inoue Yoshio, Sakaiya Eiji, Wang Cuizhen, Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice, 10.1016/j.rse.2013.09.001
  43. Beriaux Emilie, Lucau-Danila Cozmin, Auquiere Eric, Defourny Pierre, Multiyear independent validation of the water cloud model for retrieving maize leaf area index from SAR time series, 10.1080/01431161.2013.772676
  44. Raney R.K., The delay/Doppler radar altimeter, 10.1109/36.718861
  45. Torres Ramon, Snoeij Paul, Geudtner Dirk, Bibby David, Davidson Malcolm, Attema Evert, Potin Pierre, Rommen BjÖrn, Floury Nicolas, Brown Mike, Traver Ignacio Navas, Deghaye Patrick, Duesmann Berthyl, Rosich Betlem, Miranda Nuno, Bruno Claudio, L'Abbate Michelangelo, Croci Renato, Pietropaolo Andrea, Huchler Markus, Rostan Friedhelm, GMES Sentinel-1 mission, 10.1016/j.rse.2011.05.028
  46. SENTINEL-1 Observation Scenario
  47. Auquière (2001)
  48. Claverie Martin, Vermote Eric F., Weiss Marie, Baret Frédéric, Hagolle Olivier, Demarez Valérie, Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France, 10.1016/j.rse.2013.07.027
  49. Zhao Jing, Li Jing, Liu Qinhuo, Fan Wenjie, Zhong Bo, Wu Shanlong, Yang Le, Zeng Yelu, Xu Baodong, Yin Gaofei, Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China, 10.3390/rs70606862
  50. Mridha, J. Agric. Phys., 14, 87 (2014)
  51. Verrelst Jochem, Rivera Juan Pablo, Veroustraete Frank, Muñoz-Marí Jordi, Clevers Jan G.P.W., Camps-Valls Gustau, Moreno José, Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison, 10.1016/j.isprsjprs.2015.04.013
  52. 183 (2010)
  53. Xue Yong, Li Xiaowen, Li Zengyuan, Cao Cunxiang, Prior knowledge-based retrieval and validation of information from remote-sensing data at various scales, 10.1080/01431161.2011.577839
  54. Albergel Clement, de Rosnay Patricia, Gruhier Claire, Muñoz-Sabater Joaquin, Hasenauer Stefan, Isaksen Lars, Kerr Yann, Wagner Wolfgang, Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, 10.1016/j.rse.2011.11.017
  55. Bériaux Emilie, Lambot Sébastien, Defourny Pierre, Estimating surface-soil moisture for retrieving maize leaf-area index from SAR data, 10.5589/m11-021
  56. Hosseini Mehdi, McNairn Heather, Merzouki Amine, Pacheco Anna, Estimation of Leaf Area Index (LAI) in corn and soybeans using multi-polarization C- and L-band radar data, 10.1016/j.rse.2015.09.002
  57. Lievens Hans, Verhoest Niko E. C., On the Retrieval of Soil Moisture in Wheat Fields From L-Band SAR Based on Water Cloud Modeling, the IEM, and Effective Roughness Parameters, 10.1109/lgrs.2011.2106109