Correlation between soil apparent electroconductivity and plant hyperspectral reflectance in a managed wetland

References

• Anderson , M.C. , Neale , C.M.U. , Li , F. , Norman , J.M. , Kustas , W.P. , Jayanthi , H. and Chavez , J. 2004 . 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 : 447 – 464 .
   Web of Science ®Google Scholar
• Armstrong , R. 1993 . Remote sensing of submerged vegetation canopies for biomass estimation . International Journal of Remote Sensing , 14 : 621 – 627 .
   Web of Science ®Google Scholar
• Bajwa , S. , Bajcsy , P. , Groves , P. and Tian , L. 2004 . Hyperspectral image data mining for band selection in agricultural applications . Transactions of the ASAE , 47 : 895 – 907 .
   Google Scholar
• Ben-Dor , E. , Patkin , K. , Banin , A. and Karnieli , A. 2002 . Mapping of several soil properties using DAIS-7915 hyperspectral scanner data: a case study over clayey soils in Israel . International Journal of Remote Sensing , 23 : 1043 – 1062 .
   Web of Science ®Google Scholar
• Borel , C.C. ARTEMISS – an algorithm to retrieve temperature and emissivity from hyper-spectral thermal image data . 28th Annual GOMACTech Conference, Hyperspectral Imaging Session . 31 March–3 April . pp. 1 – 4 . Tampa, FL : Los Alamos National Lab Report, No. LA-UR-027907 .
   Google Scholar
• Borregaard , T. , Nielsen , H. , Ngaard , L. and Have , H. 2000 . Crop-weed discrimination by line imaging spectroscopy . Journal of Agricultural Engineering Research , 75 : 389 – 400 .
   Web of Science ®Google Scholar
• Boyd , D. , Foody , G. , Curran , P. , Lucas , R. and Honzak , M. 1996 . An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration . International Journal of Remote Sensing , 17 : 249 – 261 .
   Web of Science ®Google Scholar
• Broge , N. and Leblanc , E. 2001 . Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density . Remote Sensing of Environment , 76 : 156 – 172 .
   Web of Science ®Google Scholar
• Bruce , L. and Li , J. 2001 . Wavelets for computationally efficient hyperspectral derivative analysis . IEEE Transactions on Geoscience and Remote Sensing , 39 : 1540 – 1546 .
   Web of Science ®Google Scholar
• Burkett , V. and Kusler , J. 2000 . Climate change: potential impacts and interactions in wetlands of the United States . Journal of the American Water Resources Association , 36 : 313 – 320 .
   Web of Science ®Google Scholar
• Corwin , D. and Lesch , S. 2005 . Apparent soil electrical conductivity measurements in agriculture . Computers and Electronics in Agriculture , 46 : 11 – 43 .
   Web of Science ®Google Scholar
• Corwin , D. , Lesch , S. , Shouse , P. , Soppe , R. and Ayars , J. 2003 . Identifying soil properties that influence cotton yield using soil sampling directed by apparent soil electrical conductivity . Agronomy Journal , 95 : 352 – 364 .
   Web of Science ®Google Scholar
• Debeir , O. , Van Den Steen , I. , Latinne , P. , Van Ham , P. and Wolff , E. 2002 . Textural and contextual land-cover classification using single and multiple classifier systems . Photogrammetric Engineering and Remote Sensing , 68 : 597 – 606 .
   Web of Science ®Google Scholar
• Dorigo, W.A., Bachmann, M. And Heldens, W., 2006, AS Toolbox and processing of field spectra. http://cocoon.caf.dlr.de/astools_en.html (http://cocoon.caf.dlr.de/astools_en.html) (Accessed: 10 January 2010 ).
   Google Scholar
• Farifteh , J. , Van Der Meer , F. , Atzberger , C. and Carranza , E. 2007 . Quantitative analysis of salt-affected soil reflectance spectra: a comparison of two adaptive methods (PLSR and ANN) . Remote Sensing of Environment , 110 : 59 – 78 .
   Web of Science ®Google Scholar
• Gong , P. , Pu , R. , Biging , G. and Larrieu , M. 2003 . Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data . IEEE Transactions on Geoscience and Remote Sensing , 41 : 1355 – 1362 .
   Web of Science ®Google Scholar
• Guerif , M. and Duke , C. 2000 . Adjustment procedures of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation . Agriculture, Ecosystems and Environment , 81 : 57 – 69 .
   Google Scholar
• Hansen , P. and Schjoerring , J. 2003 . Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression . Remote Sensing of Environment , 86 : 542 – 553 .
   Web of Science ®Google Scholar
• Hong , S. , Sudduth , K. , Kitchen , N. , Drummond , S. , Palm , H. and Wiebold , W. 2002 . “ Estimating within-field variations in soil properties from airborne hyperspectral images ” . In Proceedings Pecora 15/Land Satellite Information IV Conference , Bethesda, MD : American Society for Photogrammetry and Remote Sensing . CD-ROM Available on
   Google Scholar
• Hu , Y. and Schmidhalter , U. 2005 . Drought and salinity: a comparison of their effects on mineral nutrition of plants . Journal of Plant Nutrition and Soil Science , 168 : 541 – 549 .
   Web of Science ®Google Scholar
• Huete , A. 1989 . “ Soil influences in remotely sensed vegetation canopy spectra ” . In Theory and Applications of Optical Remote Sensing , Edited by: Asrar , G. 107 – 141 . New York : John Wiley & Sons .
   Google Scholar
• Hunt , E. 1994 . Relationship between woody biomass and PAR conversion efficiency for estimating net primary production from NDVI . International Journal of Remote Sensing , 15 : 1725 – 1729 .
   Web of Science ®Google Scholar
• Inoue , Y. , PeÑuelas , J. , Miyata , A. and Mano , M. 2008 . Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements in rice . Remote Sensing of Environment , 112 : 156 – 172 .
   Web of Science ®Google Scholar
• Jensen , J.R. 2007 . Remote Sensing of the Environment: An Earth Resource Perspective , 2nd , Upper Saddle River : Pearson Prentice Hall .
   Google Scholar
• Johnson , C. , Doran , J. , Duke , H. , Wienhold , B. , Eskridge , K. and Shanahan , J. 2001 . Field-scale electrical conductivity mapping for delineating soil condition . Soil Science Society of America Journal , 65 : 1829 – 1837 .
   Web of Science ®Google Scholar
• Katila , M. and Tomppo , E. 2000 . Selecting estimation parameters for the Finnish multisource National Forest Inventory . Remote Sensing of Environment , 76 : 16 – 32 .
   Web of Science ®Google Scholar
• Martin , M. and Aber , J. 1997 . High spectral resolution remote sensing of forest canopy lignin, nitrogen, and ecosystem processes . Ecological Applications , 7 : 431 – 443 .
   Web of Science ®Google Scholar
• Mcneill , J.D. 1980 . Electromagnetic Terrain Conductivity Measurement at Low Induction Numbers. Technical Note TN-6 , Mississauga, ON, , Canada : Geonics Limited .
   Google Scholar
• Molnar , Z. and Borhidi , A. 2003 . Hungarian alkali vegetation: origins, landscape history, syntaxonomy, conservation . Phytocoenologia , 33 : 377 – 408 .
   Web of Science ®Google Scholar
• Mushet , D. , Euliss , N. Jr. and Harris , S. 1992 . Effects of irrigation on seed production and vegetative characteristics of four moist-soil plants on impounded wetlands in California . Wetlands , 12 : 204 – 207 .
   Web of Science ®Google Scholar
• Nemani , R. , Pierce , L. , Running , S. and Band , L. 1993 . Forest ecosystem processes at the watershed scale: sensitivity to remotely-sensed Leaf Area Index estimates . International Journal of Remote Sensing , 14 : 2519 – 2534 .
   Web of Science ®Google Scholar
• NRCS, 2007, Web Soil Survey. United States Department of Agriculture (USDA) National Resources Conservation Service (NRCS) http://Available online at: http://websoilsurvey.nrcs.usda.gov/app/ (http://Available online at: http://websoilsurvey.nrcs.usda.gov/app/) (Accessed: 10 January 2010 ).
   Google Scholar
• Oliver , M. 1990 . Kriging: a method of interpolation for geographical information systems . International Journal of Geographical Information Systems , 4 : 313 – 332 .
   Google Scholar
• Pathikonda , S. , Ackleh , A. , Hasenstein , K. and Mopper , S. 2009 . Invasion, disturbance, and competition: modeling the fate of coastal plant populations . Conservation Biology , 23 : 164 – 173 .
   PubMedGoogle Scholar
• Quinn, N.W.T. and Feldmann, S.A., 2004, Wetland plant guide for assessing habitat impacts of real-time salinity management. http://escholarship.org/uc/item/5f822909 (http://escholarship.org/uc/item/5f822909) (Accessed: 10 January 2010 ).
   Google Scholar
• Rahilly , P.J. 2008 . Investigating the dynamics of managed wetland ecosystems in the grasslands ecological area , Merced, , USA : Master's thesis, University of California .
   Google Scholar
• Rahman , A. and Gamon , J. 2004 . Detecting biophysical properties of a semi-arid grassland and distinguishing burned from unburned areas with hyperspectral reflectance . Journal of Arid Environments , 58 : 597 – 610 .
   Web of Science ®Google Scholar
• Rajaniemi , S. , Tomppo , E. , Ruokolainen , K. and Tuomisto , H. 2005 . Estimating and mapping pteridophyte and Melastomataceae species richness in western Amazonian rainforests . International Journal of Remote Sensing , 26 : 475 – 793 .
   Web of Science ®Google Scholar
• Ramoliya , P.J. and Pandey , A.N. 2002 . Effect of increasing salt concentration on emergence, growth and survival of seedlings of Salvadora oleoides (Salvadoraceae) . Journal of Arid Environments , 51 : 121 – 132 .
   Web of Science ®Google Scholar
• Rouse , J. 1974 . Monitoring vegetation systems in the Great Plains with ERTS . NASA Goddard Space Flight Center 3rd ERTS-1 Symposium , 1 : 309 – 317 .
   Google Scholar
• Schlerf , M. , Atzberger , C. and Hill , J. 2005 . Remote sensing of forest biophysical variables using HyMap imaging spectrometer data . Remote Sensing of Environment , 95 : 177 – 194 .
   Web of Science ®Google Scholar
• Schoups , G. , Hopmans , J. , Young , C. , Vrugt , J. , Wallender , W. , Tanji , K. and Panday , S. 2005 . Sustainability of irrigated agriculture in the San Joaquin Valley, California . Proceedings of the National Academy of Sciences of the USA , 102 : 15352 – 15356 .
   PubMed Web of Science ®Google Scholar
• Shrestha , R. 2006 . Relating soil electrical conductivity to remote sensing and other soil properties for assessing soil salinity in northeast Thailand . Land Degradation and Development , 17 : 677 – 689 .
   Web of Science ®Google Scholar
• Smith , K. , Steven , M. and Colls , J. 2004 . Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks . Remote Sensing of Environment , 92 : 207 – 217 .
   Web of Science ®Google Scholar
• Sudduth , K. , Kitchen , N. , Wiebold , W. , Batchelor , W. , Bollero , G. , Bullock , D. , Clay , D. , Palm , H. , Pierce , F. and Schuler , R. 2005 . Relating apparent electrical conductivity to soil properties across the north-central USA . Computers and Electronics in Agriculture , 46 : 263 – 283 .
   Web of Science ®Google Scholar
• Tadjudin , S. and Landgrebe , D.A. 1999 . Covariance estimation with limited training samples . IEEE Transactions on Geoscience and Remote Sensing , 37 : 2113 – 2118 .
   Web of Science ®Google Scholar
• Thenkabail , P. , Smith , R. and De Pauw , E. 2000 . Hyperspectral vegetation indices and their relationships with agricultural crop characteristics . Remote Sensing of Environment , 71 : 158 – 182 .
   Web of Science ®Google Scholar
• Trenholm , L. , Schlossberg , M. , Lee , G. , Parks , W. and Geer , S. 2000 . An evaluation of multi-spectral responses on selected turfgrass species . International Journal of Remote Sensing , 21 : 709 – 721 .
   Web of Science ®Google Scholar
• Tsai , F. and Philpot , W. 1998 . Derivative analysis of hyperspectral data . Remote Sensing of Environment , 66 : 41 – 51 .
   Web of Science ®Google Scholar
• Vogelmann , J. , Rock , B. and Moss , D. 1993 . Red edge spectral measurements from sugar maple leaves . International Journal of Remote Sensing , 14 : 1563 – 1575 .
   Web of Science ®Google Scholar
• Wolcott , M. , Overstreet , C. , Rouge , B. , Burris , L. , Cook , D. , Sullivan , D. , St Joseph , L. , Padgett , G. , Winnsboro , L. and Goodson , R. 2005 . “ Evaluating cotton nematicide response across soil electrical conductivity zones using remote sensing ” . In Beltwide Cotton Conferences, New Orleans, Louisiana , 215 – 220 . Memphis, TN : National Cotton Council of America .
   Google Scholar
• WRCC, 2006, Los Banos, California: Period of record general climate summary – temperature. Western Region Climate Center. http://www.wrcc.dri.edu/cgi-bin/cliGCStT.pl?calosb (http://www.wrcc.dri.edu/cgi-bin/cliGCStT.pl?calosb) (Accessed: 10 January 2010 ).
   Google Scholar
• Zhang , J. , Rivard , B. and Sanchez-Azofeifa , A. 2004 . Derivative spectral unmixing of hyperspectral data applied to mixtures of lichen and rock . IEEE Transactions on Geoscience and Remote Sensing , 42 : 1934 – 1940 .
   Web of Science ®Google Scholar
• Zhang , X.F. , Eijkeren , J.C.H.V. and Heemink , A.W. 1995 . On the weighted least-squares method for fitting a semivariogram model . Computers and Geosciences , 21 : 605 – 608 .
   Web of Science ®Google Scholar