L-band Microwave Emission of the Biosphere (L-MEB) Model: description and calibration against experimental data sets over crop fields

J.P. Wigneron; Y.H. Kerr; P. Waldteufel; K. Saleh; M-J Escorihuela; P. Richaume; P. Ferrazzoli; P. de Rosnay; R. Gurney; J.C. Calvet; J.P. Grant; M. Guglielmetti; B. Hornbuckle; C. Mätzler; T. Pellarin; M. Schwank

doi:10.1016/j.rse.2006.10.014

L-band Microwave Emission of the Biosphere (L-MEB) Model: description and calibration against experimental data sets over crop fields

J.P. Wigneron, Y.H. Kerr, P. Waldteufel, K. Saleh, M-J Escorihuela, P. Richaume, P. Ferrazzoli, P. de Rosnay, R. Gurney, J.C. Calvet, J.P. Grant, M. Guglielmetti, B. Hornbuckle, C. Mätzler, T. Pellarin, M. Schwank

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

In the near future, the SMOS (Soil Moisture and Ocean Salinity) mission will provide global maps of surface soil moisture (SM). The SMOS baseline payload is an L-band (1.4 GHz) two dimensional interferometric microwave radiometer which will provide multi-angular and dual-polarization observations. In the framework of the ground segment activities for the SMOS mission an operational SMOS Level 2 Soil Moisture algorithm was developed. The principle of the algorithm is to exploit multi-angular data in order to retrieve simultaneously several surface parameters including soil moisture and vegetation characteristics. The algorithm uses an iterative approach, minimizing a cost function computed from the differences between measured and modelled brightness temperature (T

Original language	English
Pages (from-to)	639-655
Journal	Remote Sensing of Environment
Volume	107
Issue number	4
DOIs	https://doi.org/10.1016/j.rse.2006.10.014
Publication status	Published - 2007

Access to Document

10.1016/j.rse.2006.10.014

Handle.net

Persistent link

Cite this

Wigneron, J. P., Kerr, Y. H., Waldteufel, P., Saleh, K., Escorihuela, M-J., Richaume, P., Ferrazzoli, P., de Rosnay, P., Gurney, R., Calvet, J. C., Grant, J. P., Guglielmetti, M., Hornbuckle, B., Mätzler, C., Pellarin, T., & Schwank, M. (2007). L-band Microwave Emission of the Biosphere (L-MEB) Model: description and calibration against experimental data sets over crop fields. Remote Sensing of Environment, 107(4), 639-655. https://doi.org/10.1016/j.rse.2006.10.014

@article{9e59a846a28d4d5da39c1bb00dbb2dd4,

title = "L-band Microwave Emission of the Biosphere (L-MEB) Model: description and calibration against experimental data sets over crop fields",

abstract = "In the near future, the SMOS (Soil Moisture and Ocean Salinity) mission will provide global maps of surface soil moisture (SM). The SMOS baseline payload is an L-band (1.4 GHz) two dimensional interferometric microwave radiometer which will provide multi-angular and dual-polarization observations. In the framework of the ground segment activities for the SMOS mission an operational SMOS Level 2 Soil Moisture algorithm was developed. The principle of the algorithm is to exploit multi-angular data in order to retrieve simultaneously several surface parameters including soil moisture and vegetation characteristics. The algorithm uses an iterative approach, minimizing a cost function computed from the differences between measured and modelled brightness temperature (T",

author = "J.P. Wigneron and Y.H. Kerr and P. Waldteufel and K. Saleh and M-J Escorihuela and P. Richaume and P. Ferrazzoli and {de Rosnay}, P. and R. Gurney and J.C. Calvet and J.P. Grant and M. Guglielmetti and B. Hornbuckle and C. M{\"a}tzler and T. Pellarin and M. Schwank",

year = "2007",

doi = "10.1016/j.rse.2006.10.014",

language = "English",

volume = "107",

pages = "639--655",

journal = "Remote Sensing of Environment",

issn = "0034-4257",

publisher = "Elsevier Inc.",

number = "4",

}

Wigneron, JP, Kerr, YH, Waldteufel, P, Saleh, K, Escorihuela, M-J, Richaume, P, Ferrazzoli, P, de Rosnay, P, Gurney, R, Calvet, JC, Grant, JP, Guglielmetti, M, Hornbuckle, B, Mätzler, C, Pellarin, T & Schwank, M 2007, 'L-band Microwave Emission of the Biosphere (L-MEB) Model: description and calibration against experimental data sets over crop fields', Remote Sensing of Environment, vol. 107, no. 4, pp. 639-655. https://doi.org/10.1016/j.rse.2006.10.014

TY - JOUR

T1 - L-band Microwave Emission of the Biosphere (L-MEB) Model: description and calibration against experimental data sets over crop fields

AU - Wigneron, J.P.

AU - Kerr, Y.H.

AU - Waldteufel, P.

AU - Saleh, K.

AU - Escorihuela, M-J

AU - Richaume, P.

AU - Ferrazzoli, P.

AU - de Rosnay, P.

AU - Gurney, R.

AU - Calvet, J.C.

AU - Grant, J.P.

AU - Guglielmetti, M.

AU - Hornbuckle, B.

AU - Mätzler, C.

AU - Pellarin, T.

AU - Schwank, M.

PY - 2007

Y1 - 2007

N2 - In the near future, the SMOS (Soil Moisture and Ocean Salinity) mission will provide global maps of surface soil moisture (SM). The SMOS baseline payload is an L-band (1.4 GHz) two dimensional interferometric microwave radiometer which will provide multi-angular and dual-polarization observations. In the framework of the ground segment activities for the SMOS mission an operational SMOS Level 2 Soil Moisture algorithm was developed. The principle of the algorithm is to exploit multi-angular data in order to retrieve simultaneously several surface parameters including soil moisture and vegetation characteristics. The algorithm uses an iterative approach, minimizing a cost function computed from the differences between measured and modelled brightness temperature (T

AB - In the near future, the SMOS (Soil Moisture and Ocean Salinity) mission will provide global maps of surface soil moisture (SM). The SMOS baseline payload is an L-band (1.4 GHz) two dimensional interferometric microwave radiometer which will provide multi-angular and dual-polarization observations. In the framework of the ground segment activities for the SMOS mission an operational SMOS Level 2 Soil Moisture algorithm was developed. The principle of the algorithm is to exploit multi-angular data in order to retrieve simultaneously several surface parameters including soil moisture and vegetation characteristics. The algorithm uses an iterative approach, minimizing a cost function computed from the differences between measured and modelled brightness temperature (T

U2 - 10.1016/j.rse.2006.10.014

DO - 10.1016/j.rse.2006.10.014

M3 - Article

VL - 107

SP - 639

EP - 655

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

IS - 4

ER -

L-band Microwave Emission of the Biosphere (L-MEB) Model: description and calibration against experimental data sets over crop fields

Abstract

Access to Document

Handle.net

Fingerprint

Cite this