Radar-based surface soil moisture retrieval over agricultural used sites - A multi-sensor approach

Proc. iEMSs 4th Biennial Meeting - Int. Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008

Volumn 1, Issue , 2008, Pages 415-421

  Pause, M ^a   Volk, M ^a   Schulz, K ^b  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

Author keywords

Artificial neural network; Remote sensing; Surface soil moisture

Indexed keywords

DISTRIBUTED INFORMATION; GROUND VEGETATION; HYDROLOGICAL MODELS; HYPERSPECTRAL REMOTE SENSING DATA; INITIAL CONDITIONS; LANDSCAPE SCALE; LEAF AREA INDEX; MICROWAVE SIGNALS; MOISTURE EXTRACTION; MULTI SENSOR; NETWORK INPUTS; OPTICAL REMOTE SENSING DATA; PLANT PARAMETERS; RADAR DATA; SURFACE SOIL MOISTURE; SURFACE SOIL MOISTURE RETRIEVAL; SYNTHETIC APERTURE RADARS (SAR); VEGETATION PARAMETERS; VEGETATION WATER CONTENT;

DECISION MAKING; HYDROLOGY; INFORMATION TECHNOLOGY; NEURAL NETWORKS; REMOTE SENSING; SOIL MOISTURE; SPATIAL DISTRIBUTION; SYNTHETIC APERTURE RADAR; UNCERTAINTY ANALYSIS; VEGETATION;

SOIL SURVEYS;

EID: 78650542733     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Anderson, M.C., C.M.U. Neale, F. Li, J.M. Norman, W.P. Kustas, H. Jayanthi and J. Chavez, Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery, Remote Sensing of Environment, 92(4), 447-464, 2004. (Pubitemid 39204628)
2. Attema, E., and F. Ulaby, Vegetation modeled as a water cloud, Radio Science, 13, 357-364, 1978.
3. Brogioni, M., S. Paloscia, P. Pampaloni, S. Pettinato and E. Santi, Soil moisture maps of agricultural fields in Northern Italy from ENVISAT/ASAR images, 5th International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications, Italy, 2007.
4. Fung, A.K., Z. Li, and K.S. Chen, Backscattering from a randomly rough dielectric surface, IEEE Transactions on Geoscience and Remote Sensing, 30(2), 356-369, 1992.
5. Fung, A.K. and F. Ulaby, A scatter model for leafy vegetation, IEEE Transactions on Geoscience and Remote Sensing, GE-16(4), 281-286, 1978.
6. Jackson, T.J., D. Chen, M. Cosh, F. Li, M. Anderson, C. Walthall, P. Doriaswamy and R. Hunt, Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans, Remote Sensing of Environment, 92(4), 475-482, 2004. (Pubitemid 39204630)
7. Loew, A., R. Ludwig and W. Mauser, Derivation of Surface Soil Moisture From ENVISAT ASAR Wide Swath and Image Mode Data in Agricultural Areas, IEEE Transactions on Geoscience and Remote Sensing, 44(4), 889-899, 2006.
8. Mäkisara, K., M. Meinander, M. Rantasuo, J. Okkonen, M Aikio, K. Sipola, P. Pylkkö and B. Braam, Airborne Imaging Spectrometer for Applications (AISA), Digest of IGARSS'93, 2, 479-481 (Tokyo, Japan), 1993.
9. Quesney, A., S. Le Hegarat-Mascle, O. Taconet, D. Vidal-Madjar, J.P. Wigneron, C. Loumagne and M. Normand, Estimation of Watershed Soil Moisture Index from ERS/SAR Data, Remote Sensing of Environment, 72(3), 290-303, 2000. (Pubitemid 30308791)
10. Ulaby, F., P.C. Dubois and J. Van Zyl, Radar mapping of surface soil moisture, Journal of Hydrology, 184, 57-84, 1996.
11. Ulaby, F., and E. Wilson, Microwave attenuation properties of vegetation canopies, IEEE Transactions on Geoscience and Remote Sensing, GE-23(5), 746-753, 1985. (Pubitemid 16508875)
12. Wagner, W., G. Blöschl, P. Pampaloni, J.C. Calvet, B. Bizzarri, J.P. Wigneron and Y. Kerr, Operational readiness of microwave remote sensing of soil moisture for hydrologic applications, Nordic Hydrology, 38(1), 1-20, 2007. (Pubitemid 46210865)
13. Zribi, M., and M. Dechambre, A new empirical model to retrieve soil moisture and roughness from C-band radar data, Remote Sensing of Environment, 84(1), 42-52, 2003. (Pubitemid 35409422)