Inferring the effect of plant and soil variables on C- and L-band SAR backscatter over agricultural fields, based on model analysis

Advances in Space Research

Volumn 39, Issue 1, 2007, Pages 139-148

  Dabrowska Zielinska, K ^a   Inoue, Y ^b   Kowalik, W ^a   Gruszczynska, M ^a  

^a INSTITUTE OF GEODESY AND CARTOGRAPHY   (Poland)

^b NATIONAL INSTITUTE FOR AGRO ENVIRONMENTAL SCIENCES   (Japan)

Author keywords

LAI; LWAI; Soil moisture; VWM; Water cloud model; o

Indexed keywords

BACKSCATTERING; PLANTS (BOTANY); SOILS;

LAI; LWAI; SOIL MOISTURE; VWM; WATER CLOUD MODELS;

AGRICULTURE;

AGRICULTURE; PLANTS; SOIL;

EID: 33847298633     PISSN: 02731177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asr.2006.02.032     Document Type: Article

References (24)

1. Allen, C.T., Ulaby, F.T. Modelling the polarization dependence of the attenuation in vegetation canopies. Proceedings of the IGARSS'84 Symposium, 119-124, 1984.
2. Attema E.P., and Ulaby F.T. Vegetation modeled as a water cloud. Radio Sci. 13 2 (1978) 357-364
3. Bouman B.A.M., and Uenk D. Crop classification possibilities with radar in ERS-1 and JERS-1 configuration. Remote Sens. Environ. 8 40 (1992) 1-13
4. Brisco, B., Brown, R.J. Agricultural applications with radar. Principles and applications of imaging radar - Manual of Remote Sensing, vol. 2, Third Edition, F.M Henderson and A.J Lewis Ed., pp. 381-406, 1998.
5. Champion I. Simple modelling of radar backscattering coefficient over a bare soil: variation with incidence angle, frequency and polarization. Int. J. Remote Sens. 17 4 (1996) 783-800
6. Champion I., Prevot L., and Guyot G. Generalized semi-empirical modelling of wheat radar response. Int. J. Remote Sens. 21 9 (2000) 1945-1951
7. Dabrowska-Zielinska, K., Gruszczynska, M., Janowska, M., Stankiewicz, K., Bochenek, Z. Use of ERS-1 SAR data for soil moisture assessment. Proceedings of the First Workshop on ERS-1 Pilot Projects, pp. 79-84, 1994.
8. Gruszczynska M., and Dabrowska-Zielinska K. Application of microwave images from European Remote Sensing Satellites (ERS-1/2) for soil moisture estimates. J. Water Land Dev. 9 2 (1998) 7-18
9. Daughtry C.S.T., Ranson K.J., and Biehl L.L. C-band backscattering from corn canopies. Int. J. Remote Sens. 12 5 (1991) 1097-1109
10. Inoue, Y., Dabrowska-Zielinska, K., Kurosu, T., Maeno, H., Uratsuka, S., Kozu, T. Analysis of multi-frequency and full - polarization backscatter signatures over paddy field - results of daily measurements of Ka, Ku, X, C and L bands for entire growing season. Proceedings of the 8th Symposium Int. Physical Measurements and signatures in Remote Sensing, pp. 427-437, 2001.
11. Inoue Y., Kurosu T., Maeno H., Uratsuka S., Kozu T., Dabrowska-Zielinska K., and Qi J. 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. 81 (2002) 194-204
12. Le Toan, T., Lopes, A., Huet, M. On the relationships between radar backscattering Coefficient and Vegetation Canopy Characteristics. Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 155-160, 1984.
13. Le Toan, T. Active microwave signatures of soils and crops: significant results of three years of experiments. Proceedings International Geoscience and Remote Sensing Symposium, (New York: I.E.E.E.), pp. 25-32, 1982.
14. Mo T., Schmugge T., and Jackson T. Calculation of radar backscattering coefficient off vegetation covered soils. Remote Sens. Environ. 15 (1984) 119-133
15. Moran M.S., Vidal A., Troufleau D., Qi J., Clarke T.R., Pinter Jr. P.J., Mitchell T.A., Inoue Y., and Neale C.M.U. Combining multifrequency microwave and optical data for crop management. Remote Sens. Environ. 61 (1997) 96-109
16. Moran M.S., Vidal A., Troufleau D., Inoue Y., and Michell T.A. Ku and C-band SAR for discriminating agricultural crop and soil conditions. IEEE Trans. Geosci. Remote Sens. 36 1 (1998) 265-272
17. Paloscia S. An empirical approach to estimating leaf area index from multifrequency SAR data Int. J. Remote Sens. 19 2 (1998) 359-364
18. Paloscia S., Macelloni G., Pampaloni P., and Sigismondi S. 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 4 (1999) 2107-2111
19. Prevot L., Champion I., and Guyot G. Estimating surface soil moisture and leaf area index of a wheat canopy using a dual - frequency (C and X bands) scatterometer. Remote Sens. Environ. 46 (1993) 331-339
20. Toure A., Keith P., Thomson B., Edwards G., Brown R.J., and Brisco B.G. Adaptation of the MIMICS backscattering model to the agricultural context-wheat and canola at bL and C bands. IEEE Trans. Geosci. Remote Sens. 32 1 (1994) 47-61
21. Ulaby F.T., Allen C.T., and Eger G. Relating the microwave backscattering coefficient to leaf area index. Remote Sens. Environ. 14 (1984) 113-133
22. Ulaby, F.T., Moore, R.K., Fung, A.K. Microwave remote sensing, active and passive, vol. III: From Theory to Applications, M.A. Dedham Ed. Artech House, 1986.
23. Ulaby F.T., Sarabandi K., McDonald K., Whitt M., and Dobson M.C. Michigan microwave canopy scattering model. Int. J. Remote Sens. 11 7 (1990) 1223-1253
24. Wooding, M.G., Griffiths, G.H., Evans, R., Bird, P., Kenward, D., Keyte, G.E. Temporal monitoring of soil moisture using ERS-1 SAR data. Proceedings of the First ERS-1 Symposium, pp. 641-647, 1992.