Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B7-1)

80 
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
achieve high performance and flexibility and the L-band data 
continuity of JERS-1 can be used successfully for monitoring 
the soil moisture. 
Fieldworks have revealed that the soil cultivating technique, e.g. 
compaction of the soil to prevent the moisture loss was another 
factor that affected the backscattering. Increases in backscatter 
values in all SAR images have been observed in fields that were 
levelled by applying compaction by force. The next phase of 
our research includes investigation of the changes in 
backscattering from SAR images with soil texture, pore 
volumes, pore sizes, moisture content, and soil cultivation 
techniques. 
REFERENCES 
Altinbas, U., Cengel M., Uysal H., Okur B., Okur N., Kurucu" 
Y., Delibacak, S., 2004, Soil Science, E.U. Basimevi, E.U.Z.F 
Yayinlari No 557, Bomova-izmir, pp. 113-149, (In Turkish) 
Alvarez-Mazos, J., Casali, J., Gonzalez-Audicana, M., Verhoest, 
N. E. C, 2005. Correlation between ground measured soil 
moisture and RADARSAT-1 derived backscattering coefficient 
over an agricultural catchment of Navvare (north of Spain). 
Biosystems Engineering 92, 119-133. 
Alvarez-Mozos,J., Casali, J., Gonzalez-Audicana, M., Verhoest 
N. E. C., 2006. Assessment of the Operational Applicability of 
RADARSAT-1 Data for Surface Soil Moisture Estimation. 
IEEE Transactions on Geoscience and Remote Sensing 44, 913- 
924. 
Beaudoin, A., Le Toan, T., Gwyn, Q. H. J., 1990. SAR 
observations and modeling of the C- Band backscatter 
variability due to the multiscale geometry and soil moisture. 
IEEE Transactions on Geoscience and Remote Sensing 28, 886- 
895. 
Baghdadi, N. and King, C., Chanzy, A., Wigneron, J. P., 2002. 
An Amprical calibration of the integral equation model based 
on SAR data, soil moisture and surface roughness measured 
over bare soils. International Journal of Remote Sensing 23, 
4325-4340. 
Baghdadi N., Holah N., Zribi M., 2006. Soil moisture 
estimation using multi-incidence and multi-polarization ASAR 
data. International Journal of Remote Sensing 27, 1007-1920. 
Black, C.A., 1965, Methods of Soil Analysis. Part 1, American 
Soc. of Agron., No 9. 
Bouyoucous, G.J., 1951. A Recalibration of the hydrometer for 
making mechanical analysis of soil, Agro. J. No: 43, pp. 434- 
438. 
Boisvert, J. B., Gwyn, Q.H., Chanzy, A., Major, D. J., Brisco, 
B., Brown, R. J., 1997. Effects of soil moisture gradients on 
modelling radar backscattering from bare soils. International 
Journal of Remote Sensing 18, 153-170. 
Dobson, M.C. and UlabY, F.T., 1986, Active microwave soil 
moisture research, GE24, pp. 23-36. 
Dubois, P.C., Van Zyl, J. , Engman, T., 1995. Measuring soil 
moisture with imaging radars. IEEE Transactions on 
Geoscience and Remote Sensing 33, 915-926. 
Holah, N., Baghdadi, N., Zribi, M., Bruand, A., King, C., 2005. 
Potential of ASAR/ENVISAT for the characterization of soil 
surface parameters over bare agricultural fields. Remote Sensing 
of Environment 96, 78-86. 
Kelly, R. E. J., Davie, T. J. A., Atkinson, P. M, 2003. 
Explaining temporal and spatial variation in soil moisture in a 
bare field using SAR imagery. International Journal of Remote 
Sensing 24, 3059-3074. 
Lillesand, T.,M., Kiefer, R.W., 2000, Remote Sensing and 
Image interpretation. Fourth edition. John Wiley & Sons, Inc., 
Toronto. ISBN:0-471 25525-7 
Oldak, A., Jackson, T.J., Starks, P., Elliott, R., 2003. Mapping 
Near surface soil moisture on regional scale using ERS-2 SAR 
data. International Journal of Remote Sensing 24, 4579-4598. 
Peplinski, N. R., Ulaby, F. T., and Dobson, M. C, 1995, 
Dielectric properties of soil in the 0.3-1.3 GHz range, 
Geoscience and Remote Sensing, IEEE Transactions., 33, pp. 
803-807. 
Romshoo, S. A., Taikan, O., and Katumi, M., 2002, C-band 
radar for soil moisture estimation under agricultural conditions. 
Geoscience and Remote Sensing Symposium,. IGARSS '02. 
IEEE International, 4, 2217- 2219. 
Rosenqvist A., Shimada, M., Watanabe M., Tadono T., 
Yamauchi K., 2004. Implementation of Systematic Data 
Observation Strategies for ALOS PALSAR, PRISM and 
AVNIR-2. Geoscience and Remote Sensing Symposium, 2004. 
IGARSS '04. 20-24 Sept.2004, Vol7, 4527- 4530. 
RSI, 2000. RADARS AT Illuminated Your guide to Products 
and Services (Richmound, Canada: RADARSAT Intemationl, 
Client Services). 
Sahebi, M. R., Bonn, f., Gwyn, Q.H. J., 2003. Estimation of the 
moisture content of bare soil from RADARSAT-1 SAR using 
simple empirical modals. International Journal of Remote 
Sensing 24, 2575-2582. 
Shao, Y., Hu, Q.R., Guo, H.D., Lu, Y., Dong, Q., Han, C.M., 
2003, Effect of dielectric properties of moist salinized soils on 
backscattering coefficients extracted from RADARSAT image. 
IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 
1879-1888. 
Shi, J., Wang, J., Hsu, A.Y., O’neill, E.O. and Engman, E.T., 
1997, Estimation of bare surface soil moisture and surface 
roughness parameter using L-band SAR image data. IEEE 
Transactions on Geoscience and Remote Sensing, 35, pp. 1254— 
1266. 
Siegert, F., Ruecker, G., 2000. Use of multitemporal ERS-2 
SAR images for identification of burned scars in south-east 
Asian tropical forest. International Journal of Remote Sensing 
21,831-837.
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.