1 |
Chauhan, N.S., S. Miller, and P. Ardanuy. 2003. Spaceborne soil moisture estimation at high resolution: a Microwaveoptical/IR synergistic approach, Int. J. Remote Sens. 24(22):4599-4622.
DOI
|
2 |
Choi, M.H. and Y.M. Hur. 2012. A microwaveoptical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products, Remote Sens. Environ. 124:259-269.
DOI
|
3 |
GCOM Data Providing Service Homepage : https://gcom-w1.jaxa.jp
|
4 |
Hur, Y.M. and M.H. Choi. 2011. Advanced Microwave Scanning Radiometer E soil moisture evaluation for Haenam flux monitoring network site, Korean J. Remote Sens. 27(2):131-140 (in Korean).
DOI
|
5 |
Imaoka, K., M. Kachi, H. Fujii, H. Murakami, M. Hori, A. Ono, T. Igarashi, K. Nakagawa, T. Oki, Y. Honda, and H. Shimoda. 2010. Global Change Observation Mission (GCOM) for monitoring carbon, water cycles, and climate change, Proc. IEEE, 98(5):717-734.
DOI
|
6 |
Jackson, T.J., M.H. Cosh, R. Bindlish, P.J. Starks, D.D. Bosch, M. Seyfried, D.C. Goodrich, M.S. Moran, and J. Du. 2010. Validation of Advanced Microwave Scanning Radiometer soil moisture products, IEEE Trans. Geosci. Remote Sens. 48(12):4256-4272.
DOI
|
7 |
Kim, G.S. and J.P. Kim. 2011. Correlation analysis between soil moisture retrieved from satellite images and ground network measurements, J. Korean Associ. Geog. Information Studies, 14(2):69-81 (in Korean).
DOI
|
8 |
Kim, M.J., G.S. Kim, and J.E. Yi. 2015. Bias correction of AMSR2 soil moisture data using ground observations, J. Korean Soc. Agric. Eng. 57(4):61-71 (in Korean).
DOI
|
9 |
Korean Soil Information System Homepage : http://soil.rda.go.kr
|
10 |
Oh, M.R., T.Y., Gu, Y.M. Kim, G.H. Ryu, M.J. Kim, H.J. Lee, S.M. Kim, H.J. Han, S.J. Park, A.R. Kim, J.S. Jo, and S.J. Shin. 2013. Research for the meteorological and earthquake observation technology and its application (II) - Development of satellite technologies to monitor global environment changes and to apply global precipitation measurement, National Institute of Meteorological Research, Korea Meteorological Administration, 29-42
|
11 |
Srivastava, P.K., D. Han, M.R. Ramirez, and T. Islam. 2013. Machine learning techniques for downscaling SMOS satellite soil moisture using MODIS land surface temperature for hydrological application, Water Resour. Manage. 27(8):3127-3144.
DOI
|
12 |
You, C.S. 2007. Application of remote sensing to soil moisture research, Mag. Korea Water Resour. Assoc. 30(1):64-68 (in Korean).
|
13 |
Wagner, W., C. Pathe, M. Doubkova, D. Sabel, A. Bartsch, S. Hasenauer, G. Blöschl, K. Scipal, J. Martinez-Fernandez, and A. Low. 2008. Temporal stability of soil moisture and radar backscatter observed by the Advanced Synthetic Aperture Radar (ASAR), Sensors, 8(2):1174-1197.
DOI
|
14 |
Wang, L., J. Wen, T. Zhang, Y. Tian, X. Shi, X. Wang, R. Liu, J. Zhang, and S. Lu. 2009. Surface soil moisture estimates from AMSR-E observations over an Arid area, Northwest China, Hydrol. Earth Syst. Sci. Discuss. 6:1055-1087.
DOI
|
15 |
Ye, Q., L. Chai, L. Jiang, and S. Zhao. 2014. A Downscaling approach of phase transition water content using AMSR2 and MODIS products, In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International:3323-3326.
|