JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Estimation of Soil Moisture Content in Corn Field Using Microwave Scatterometer Data
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Estimation of Soil Moisture Content in Corn Field Using Microwave Scatterometer Data
Kim, Yihyun; Hong, Sukyoung; Lee, Kyoungdo; Na, Sangil; Jung, Gunho;
  PDF(new window)
 Abstract
A ground-based microwave scatterometer has an advantage for monitoring soil moisture content using multi-polarization, multi-frequencies and various incidence angles. In this paper, ground-based multi-frequency (L-, C-, and X-band) polarimetric scatterometer system capable of making observations every 10 min was used to monitor the soil moisture conditions in a corn field over an entire growth cycle. Measurements of volumetric soil moisture were obtained and their relationships to the backscatter observations were examined. Time series of soil moisture content was not corresponding with backscattering coefficient pattern over the whole growth stage, although it increased until early July (Day Of Year, DOY 160). We examined the relationship between the backscattering coefficients from each band and soil moisture content of the field. Backscattering coefficients for all bands were not correlated with soil moisture content when considered over the entire stage (). However, L-band Horizontal transmit and Horizontal receive polarization (HH) had a good correlation with soil moisture () when LAI was lower than 2. Prediction equations for soil moisture were developed using the L-HH data. Relation between L-HH and soil moisture shows linear pattern and related with soil moisture content (). Results from this study show that backscattering coefficients of microwave scatterometer appear to be effective to estimate soil moisture content in the field level.
 Keywords
Backscattering coefficients;Corn;Correlation coefficients;Microwave scatterometer;Soil moisture;
 Language
Korean
 Cited by
 References
1.
Bartsch, A., C. Pathe, and W. Wagner. 2007. Relative soil moisture from C- and L-band SAR time series, The 1st Joint PI Symposium of ALOS Data Nodes for ALOS Science Program, Kyoto, Japan. 19-23 Nov. 2007.

2.
Bindlish, R. and A.P. Barros. 2001. Parameterization of vegetation backscatter in radar-based soil moisture estimation. Remote Sens. Environ. 76:130-137. crossref(new window)

3.
Brisco. B., R.J. Brown., J.A. Koehler., G.J. Sofko, and M.J. McKibben. 1990. The Diurnal Pattern of Microwave backscattering by wheat. Remote Sens. Environ. 34: 37-47. crossref(new window)

4.
Denmead, O.T. and R.H. Shaw. 1960. The effects of soil moisture stress at different stages of growth on the development and yield of corn. Agron. J. 52(5):272-274. crossref(new window)

5.
Dobson, M.C. and F.T. Ulaby. 1986. Active microwave soil moisture research. IEEE Trans. Geosci. Remote Sens. 24:23-36.

6.
Fung, A.K. 1994. Microwave scattering and emission models and their applications. Artech House Inc., Norwood, MA, USA.

7.
Hallikainen, T., F.T. Ulaby., M.C. Dobson., M.A. El-Rayes, and L. Wu. 1985. Microwave dielectric behavior of wet soil. Part-I: Empirical models and experimental observation. IEEE Trans. Geosci. Remote Sens. 23:25-34.

8.
Inoue, Y., T. Kurosu., H. Maeno., S. Uratsuka., T. Kowu., K. Dabrowska-Zielinska, and J. Qi. 2002. Season-long daily measurements of multi-frequency(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: 194-204. crossref(new window)

9.
Jackson, T.J., A. Chang, and T.J. Schmugge. 1981. Aircraft active microwave measurements for estimating soil moisture. Photogramm. Eng. Rem. Sens. 47:801-805.

10.
Jackson, T.J., T.J. Schmugge, and J.R. Wang. 1982. Passive microwave sensing of soil moisture under vegetation canopies. Water. Resour. Res. 18(4):1137-1142. crossref(new window)

11.
Jackson, T.J. and P. O'Neill. 1986. Temporal observations of surface soil moisture using a passive microwave sensor. Remote Sens. Environ. 21:281-296.

12.
Jackson, T.J. and T.J. Schmugge. 1989. Passive microwave remote sensing system for soil moisture: some supporting research. IEEE Trans. Geosci. Remote Sens. 27(2):225-235. crossref(new window)

13.
Kim, S.B., L. Tsang., J.T. Joel., H. Shaowu., V.Z. Jakob, and E. Njoku. 2012. Soil moisture retrieval using time-series radar observation over bare surfaces. IEEE Trans. Geosci. Remote Sens. 50(5):1853-1863. crossref(new window)

14.
Kim, Y. H., S.Y. Hong, and H.Y. Lee. 2009. Estimation of paddy rice growth parameters using L, C, X-bands polarimetric scatterometer. Korean J. Remote Sens. 25: 31-44.

15.
Kim, Y.H., S.Y. Hong., H.Y. Lee, and J.E. Lee. 2011. Monitoring soybean growth using L, C, and X-bands automatic radar scatterometer measurement. Korean J. Remote Sens. 27(2):191-201. crossref(new window)

16.
Kim, Y.H., S.Y. Hong, and J.E. Lee. 2012. Estimation of soil moisture content from backscattering coefficients using a radar scatterometer. Korean J. Soil Sci. Fert. 45(2):127-134. crossref(new window)

17.
Njoku, E.G., T.J. Jackson., V. Lakshmi., T.K. Chan, and S.V. Nghiem. 2003. Soil moisture retrieval from AMSR-E. IEEE Trans. Geosci. Remote Sens. 41(2):215-229. crossref(new window)

18.
Oh, Y.S. 2004. Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces. IEEE Trans. Geosci. Remote Sens. 42(3): 596-601. crossref(new window)

19.
Owe, M., R.D. Jeu, and J. Walker. 2001. A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Trans. Geosci. Remote Sens. 39(8):1643-1654. crossref(new window)

20.
Prasad, R. 2009. Retrieval of crop variables with field-based X-band microwave remote sensing of ladyfinger. Advanced in space research. 43:1356-1363. crossref(new window)

21.
Ryu, D., T.J. Jackson., R. Bindlish, and D.M. Le Vine. 2007. L-band microwave observations over land surface using a two-dimensional synthetic aperture radiometer. Gephys. Res. Lett. 34(14):1-6.

22.
Schmugge, T.J. 1978. Remote sensing of surface soil moisture. J. Appl Meteorol. Clim. 17:1549-1557. crossref(new window)

23.
Schmugge, T.J. 1980. Effect of texture on microwave emission from soils. IEEE Trans. Geosci. Remote Sens. GE-18:353-361. crossref(new window)

24.
Shi, J.C., J. Wang., A.Y. Hsu., P.E. O'Neill, and E.T. Engman. 1997. Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data. IEEE Trans. Geosci. Remote Sens. 35(5):1254-1266. crossref(new window)

25.
Ulaby, F.T. 1974. Radar measurement of soil moisture content. IEEE Trans. Antennas Propag. 22:257-265. crossref(new window)

26.
Ulaby, F.T., P.P. Batlivala, and M.C. Dobson, 1978. Microwave backscatter dependence on surface roughness, soil moisture, and soil texture. IEEE Trans. Geosci. Electron. 16(4):286-295. crossref(new window)

27.
Ulaby, F.T., M.K, Moore, and A.K. Fung. 1982. Microwave Remote Sensing. Active and Passive. Artech House Inc., Norwood, MA, USA.

28.
Ulaby, F.T. and C. Elachi. 1990. Radar Polarimetry for Geoscience Applications. Artech House Inc., Norwood, MA, USA.

29.
Wang, J.R., T.J. Schmugge, and E.T. Engman. 1989. Mapping surface soil moisture with L-band radiometric measurements. Remote Sens. Environ. 27:305-312. crossref(new window)

30.
Wang, S.G., X. Li, X. J. Han, and R. Jin. 2011. Estimation of surface soil moisture and roughness from multi-angular ASAR imagery in the Watershed Allied Telemetry Experimental Research (WATER). Hydrol. Earth Syst. Sci. 15:1415-1426. crossref(new window)

31.
Wigneron, J.P., A. Chanzy, J.C. Calvet, and N. Bruguier. 1995. A simple algorithm to retrieve soil moisture and vegetation biomass using passive microwave measurements over crop fields. Remote Sens. Environ. 51(3):331-341. crossref(new window)

32.
Yang, D., F.T. Ulaby, and M.C. Dobson. 2000. Sensitivity to soil moisture by active and passive microwave sensors. IEEE Trans. Geosci. Remote Sens. 38(1):105-114. crossref(new window)