최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기대한원격탐사학회지 = Korean journal of remote sensing, v.37 no.3, 2021년, pp.515 - 530
정지훈 (건국대학교 대학원 사회환경플랜트공학과) , 손무빈 (건국대학교 대학원 사회환경플랜트공학과) , 이용관 (건국대학교 대학원 사회환경플랜트공학과) , 김성준 (건국대학교 공과대학 사회환경공학부)
This study is to estimate soil moisture (SM) using Sentinel-1A/B C-band SAR (synthetic aperture radar) images and Multiple Linear Regression Model(MLRM) in the Yongdam-Dam watershed of South Korea. Both the Sentinel-1A and -1B images (6 days interval and 10 m resolution) were collected for 5 years f...
Anguela, T.P., M. Zribi, N. Baghdadi, and C. Loumagne, 2010. Analysis of local variation of soil surface parameters with TerraSAR-X radar data over bare agriculture fields, IEEE Transactions on Geoscience and Remote Sensing, 48(2): 874-881.
Attema, E.P.W. and F.T. Ulaby, 1978. Vegetation modeled as a water cloud, Radio Science, 13(2): 357-364.
Baghdadi, N., C. King, A. Chanzy, and J.P. Wigneron, 2002. An empirical calibration of the integral equation model based on SAR data, soil moisture and surface roughness measurement over bare soils, International Journal of Remote Sensing, 23(20): 4325-4340.
Baghdadi, N., M. Aubert, O. Cerdan, L. Franchisteguy, C. Viel, M. Eric, and J.F. Desprats, 2007. Operational mapping of soil moisture using synthetic aperture radar data: application to the Touch basin (France), Sensors, 7(10): 2458-2483.
Baghdadi, N., M. Choker, M. Zribi, M. Hajj, S. Paloscia, N. Verhoest, H. Lievens, F. Baup, and F. Mattia, 2016. A new empirical model for radar scattering from bare soil surfaces, Remote Sensing, 8(11): 920.
Baghdadi, N., M. Zribi, S. Paloscia, N.E. Verhoest, H. Lievens, F. Baup, and F. Mattia, 2015. Semi-empirical calibration of the integral equation model for co-polarized L-band backscattering, Remote Sensing, 7(10): 13626-13640.
Baghdadi, N., M.E. Hajj, M. Zribi, and I. Fayad, 2016. Coupling SAR C-band and optical data for soil moisture and leaf area index retrieval over irrigated grasslands, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(3): 1229-1243.
Baghdadi, N., S. Gaultier, and C. King, 2002. Retrieving surface roughness and soil moisture from synthetic aperture radar (SAR) data using neural networks, Canadian Journal of Remote Sensing, 28(5): 701-711.
Benninga, H.J.F., R. van der Velde, and Z. Su, 2020. Sentinel-1 soil moisture content and its uncertainty over sparsely vegetated fields, Journal of Hydrology X, 9: 100066
Brocca, L., S. Hasenauer, T. Lacava, F. Melone, T. Moramarco, W. Wagner, W. Dorigo, P. Matgen, J. Martinez-Fernandez, P. Llorens, J. Latron, C. Martin, and M. Bittelli, 2011. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe, Remote Sensing of Environment, 115(12): 3390-3408.
Champion, I. and G. Gyot, 1991. Generalized formulation for semi-empirical radar models, Proc. of the 5th International Colloquium on the Spectral Signatures in Remote Sensing, Courchevel, FR, Jan. 14-18, pp. 269-272.
Chen, K.S., T.D. Wu, L. Tsang, Q. Li, J. Shi, and A.K. Fung, 2003. Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations, IEEE Transactions on Geoscience and Remote Sensing, 41(1): 90-101.
Dabrowska-Zielinska, K., J. Musial, A. Malinska, M. Budzynska, R. Gurdak, W. Kiryla, M. Bartold, and P. Grzybowski, 2018. Soil Moisture in the Biebrza Wetlands Retrieved from Sentinel-1 Imagery, Remote Sensing, 10(12): 1979.
Dubois, P.C., J. van Zyl, and T. Engman, 1995. Measuring soil moisture with imaging radars, IEEE Transactions on Geoscience and Remote Sensing, 33(4): 915-926.
Entekhabi, D., E.G. Njoku, P.E. O'Neill, K.H. Kellogg, W.T. Crow, W.N. Edelstein, J.K. Entin, S.D. Goodman, T.J. Jackson, J. Johnson, J. Kimball, J.R. Piepmeier, R.D. Koster, N. Martin, K.C. McDonald, M. Moghaddam, S. Moran, R. Reichle, J.C. Shi, M.W. Spencer, S.W. Thurman, L. Tsang, and J. Van Zyl, 2010. The soil moisture active passive (SMAP) mission, Proceeded of the IEEE, 98(5): 704-716.
Falloon, P., C.D. Jones, M. Ades, and K. Paul, 2011. Direct soil moisture controls of future global soil carbon changes: An important source of uncertainty, Global Biogeochemical Cycles, 25(3): GB3010.
Fung, A.K., Z. Li, and K.S. Chen, 1992. Backscattering from a randomly rough dielectric surface, IEEE Transactions on Geoscience and Remote Sensing, 30(2): 356-369.
Gillies, R.R. and T.N. Carlson, 1995. Thermal remote-sensing of surface soil-water content with partial vegetation cover for incorporation into climate-models, Journal of Applied Meteorology and Climatology, 34(4): 745-756.
Hachani, A., M. Ouessar, S. Paloscia, E. Santi, and S. Pettinato, 2019. Soil moisture retrieval from Sentinel-1 acquisitions in an arid environment in Tunisia: application of Artificial Neural Networks techniques, International Journal of Remote Sensing, 40(24): 9159-9180.
Holah, N., N. Baghdadi, M. Zribi, A. Bruand, and C. King, 2005. Potential of ASAR/ENVISAT for the characterization of soil surface parameters over bare agricultural fields, Remote Sensing of Environment, 96(1): 78-86.
Hoskera, A.K., G. Nico, M. Irshad Ahmed, and A. Whitbread, 2020. Accuracies of soil moisture estimations using a semi-empirical model over bare soil agricultural croplands from Sentinel-1 SAR data, Remote Sensing, 12(10): 1664.
Jung, C., Y. Lee, J. Lee, and S. Kim, 2020. Performance Evaluation of the Multiple Quantile Regression Model for Estimating Spatial Soil Moisture after Filtering Soil Moisture Outliers, Remote Sensing, 2020, 12(10): 1678.
Jung, C., Y. Lee, Y. Cho, and S. Kim, 2017. A study of spatial soil moisture estimation using a multiple linear regression model and MODIS land surface temperature data corrected by conditional merging, Remote Sensing, 9(8): 870.
Karam, M.A., A.K. Fung, R.H. Lang, and N.S. Chauhan, 1992. Microwave scattering model for layered vegetation, IEEE Transactions on Geoscience and Remote Sensing, 30(4): 767-784.
Kerr, Y.H., P. Waldteufel, J.P. Wigneron, S. Delwart, F. Cabot, J. Boutin, M.J. Escorihuela, J. Font, N. Reul, C. Gruhier, S.E. Juglea, M.R. Drinkwater, A. Hahne, M. Martin-Neira, and S. Mecklenburg, 2010. The SMOS mission: new tool for monitoring key elements of the global water cycle, Proceeded of the IEEE, 98(5): 666-687.
Kim, J., Y. Park, J. Jeon, B. Engel, J. Ahn, Y. Park, K. Kim, J. Choi, and K. Lim, 2007. Evaluation of L-THIA WWW direct runoff estimation with AMC adjustment, Journal of Korean Society on Water Quality, 23(4): 474-481 (in Korean with English abstract).
Koo, P., D. Do, J. Kwon, and W. Song, 2002. Speckle filtering based on adaptive edge sharpening algorithm, Proc. of the Annual Conference of Institute of Electronics and Information Engineers: Signal Processing Society, Seoul, KR, Sep. 28, pp. 1-11 (in Korean with English abstract).
Lakhankar, T., H. Ghedira, and R. Khanbilvardi, 2006. Soil moisture retrieval from RADARSAT data: A Neuro-Fuzzy approach, Proc. of the IEEE International Symposium on Geoscience and Remote Sensing, Denver, CO, Jul. 31-Aug. 4, pp. 2328-2331.
Lee, J., 1980. Digital Image Enhancement and Noise Filtering by Use of Local Statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2(2): 165-168.
Lee, J.S., J.H. Wen, T.L. Ainsworth, K.S. Chen, and A.J. Chen, 2009. Improved sigma filter for speckle filtering of SAR imagery, IEEE Transactions on Geoscience and Remote Sensing, 47(1): 202-213.
Lee, Y., C. Jung, and S. Kim, 2019. Spatial distribution of soil moisture estimates using a multiple linear regression model and Korean geostationary satellite (COMS) data, Agricultural Water Management, 213(1): 580-593 (in Korean with English abstract).
Mathieu, R., M. Sbih, A.A. Viau, F. Anctil, L.E. Parent, and J. Boisvert, 2003. Relationships Between Radarsat SAR Data and Surface Moisture Content of Agricultural Organic Soils, International Journal of Remote Sensing, 24(24): 5265-5281.
Moriasi, D.N., J.G. Arnold, M.W. Van Liew, R.L. Binger, R.D. Harmel, and T. L. Veith, 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Transactions of the ASABE, 50(3): 885-900.
Notarnicola, C., M. Angiulli, and F. Posa, 2006. Use of radar and optical remotely sensed data for soil moisture retrieval over vegetated areas, IEEE Transactions on Geoscience and Remote Sensing, 44(4): 925-935.
Notarnicola, C., M. Angiulli, and F. Posa, 2008. Soil moisture retrieval from remotely sensed data: neural network approach versus Bayesian method, IEEE Transactions on Geoscience and Remote Sensing, 46(2): 547-557.
Oh, Y., K. Sarabandi, and F. T. Ulaby, 1992. An empirical modal and an inversion technique for radar scattering from bare soil surfaces, IEEE Transactions on Geoscience and Remote Sensing, 30(2): 370-381.
Ottinger, M. and C. Kuenzer, 2020. Spaceborne L-Band Synthetic Aperture Radar data for geoscientific analyses in coastal Land applications: A Review, Remote Sensing, 12(14): 2228.
Park, J., S. Ahn, S. Hwang, C. Jang, G. Park, and S. Kim, 2014. Evaluation of MODIS NDVI and LST for indicating soil moisture of forest areas based on SWAT modeling, Paddy and Water Environment, 12(s1): s77-s88 (in Korean with English abstract).
Pierdicca, N., P. Castracane, and L. Pulvirenti, 2008. Inversion of electromagnetic models for bare soil parameter estimation from multifrequency polarimetric SAR data, Sensors, 8(12): 8181-8200.
Porcello, L.J., N.G. Massey, R.B. Innes, and J.M. Marks, 1976. Speckle reduction in synthetic-aperture radars, Journal of the Optical Society of America, 66(11): 1305-1311.
Prakash, R., D. Singh, and N. P. Pathak, 2012. A Fusion approach to retrieve soil moisture with SAR and optical data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(1): 196-206.
Said, S., U.C. Kothyari, and M.K. Arora, 2008. ANN-based soil moisture retrieval over bare and vegetated areas using ERS-2 SAR data, Journal of Hydrologic Engineering, 13(6): 461-475.
Sandholt, I., K. Rasmussen, and J. Andersen, 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status, Remote Sensing of Environment, 79(2-3): 213-224.
Srivastava, H.S., P. Patel, R.R. Navalgund, and Y. Sharma, 2008. Retrieval of surface roughness using multi-polarized Envisat-1 ASAR data, Geocarto International, 23(1): 67-77.
Srivastava, H.S., P. Patel, Y. Sharma, and R.R. Navalgund, 2009. Large-area soil moisture estimation using multi-incidence-angle RADARSAT-1 SAR data, IEEE Transactions on Geoscience and Remote Sensing, 47(8): 2528-2535.
Ulaby, F.T., C.T. Allen, G. Eger, and H. Kanemasu, 1984. Relating the microwave backscattering coefficient to leaf area index, Remote Sensing of Environment, 14(1-3): 113-133.
Ulaby, F.T., G.A. Bradley, and M.C. Dobson, 1979. Microwave backscatter dependence on surface roughness, soil moisture, and soil texture: part II-vegetation-covered soil, IEEE Transactions on Geoscience Electronics, 17(2): 33-40.
Ulaby, F.T., P.P. Batlivala, and M.C. Dobson, 1978. Microwave backscatter dependence on surface roughness, soil moisture, and soil texture: part I-bare soil, IEEE Transactions on Geoscience Electronics, 16(4): 286-295.
Ulaby, F.T., R.K. Moore, and A.K. Fung, 1986. Microwave Remote Sensing, Artech House, Norwood, MA, USA.
Wagner, W., G. Lemoine, and H. Rott, 1999. A method for estimating soil moisture from ERS scatterometer and soil data, Remote Sensing of Environment, 70(2): 191-207.
Wickel, A.J., T.J. Jackson, and E.F. Wood, 2001. Multi-temporal monitoring of soil moisture with RADARSAT SAR during the 1997 Southern Great Plains hydrology experiment, International Journal of Remote Sensing, 22(8): 1571-1583.
Y. Liu, J. Qian, and H. Yue, 2021. Combined Sentinel-1A with Sentinel-2A to estimate soil moisture in farmland, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 1292-1310.
Yu, Y. and S.T. Acton, 2002. Speckle reducing anisotropic diffusion, IEEE Transactions on Image Processing, 11(11): 1260-1270.
Zelenka, J.S., 1976. Comparison of continuous and discrete mixed-integrator processor, Journal of the Optical Society of America, 66(11): 1295-1304.
Zhang, D. and G. Zhou, 2016. Estimation of soil moisture from optical and thermal remote sensing: A review, Sensors, 16(8): 1308.
Zribi, M. and M. Dechambre, 2003. A new empirical model to retrieve soil moisture and roughness from C-band radar data, Remote Sensing of Environment, 84(1): 42-52.
Zribi, M., N. Baghdadi, N. Holah, and O. Fafin. New methodology for soil surface moisture estimation and its application to ENVISAT-ASAR multi-incidence data inversion, Remote Sensing of Environment, 96(3-4): 485-496.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.