Regional scale soil salinity evaluation using Landsat 7, Western San Joaquin Valley, California, USA

Geoderma Regional

Volumn 2-3, Issue C, 2014, Pages 82-90

  Scudiero, Elia ^a   Skaggs, Todd H ^a   Corwin, Dennis L ^a  

^a U S SALINITY LABORATORY   (United States)

Author keywords

Apparent soil electrical conductivity; Aridisols; Entisols; Inceptisols; Mollisols; Remote sensing; Spatial variability; Vertisols

Indexed keywords

EID: 84925860129     PISSN: 23520094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geodrs.2014.10.004     Document Type: Article

References (54)

1. Y. Aldakheel, A. Elprince, and A. Al-Hosaini Mapping of salt-affected soils of irrigated lands in arid regions using remote sensing and GIS Proceedings of 2nd International Conference on Recent Advances in Space Technologies (RAST 2005). June 09-11, 2005, Istanbul, Turkey 2005 467 472
2. A. Allbed, and L. Kumar Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: a review Adv. Remote Sens. 2 2013 373 385
3. R.G. Allen, L.S. Pereira, D. Raes, and M. Smith Crop evapotranspiration. Guidelines for computing crop water requirements FAO Irrigation and Drainage Paper 56 1998 FAO Rome, Italy
4. S.M. Arafat, M.A. Aboelghar, and E.F. Ahmed Crop discrimination using field hyper spectral remotely sensed data Adv. Remote Sens. 2 2013 63 70
5. V.L. Backlund, and R.R. Hoppes Status of soil salinity in California Calif. Agric. 38 1984 8 9
6. P. Caccetta, R. Dunne, R. George, and D. McFarlane A methodology to estimate the future extent of dryland salinity in the southwest of Western Australia J. Environ. Qual. 39 2010 26 34
7. Cone, T., 1997. The vanishing valley. San Jose Mercury News Magazine, June 29:9-15.
8. D.L. Corwin, and S.M. Lesch Apparent soil electrical conductivity measurements in agriculture Comput. Electron. Agric. 46 2005 11 43
9. a-directed soil sampling J. Environ. Eng. Geophys. 18 2013 1 25
10. D.L. Corwin, and S.M. Lesch A simplified regional-scale electromagnetic induction - Salinity calibration model using ANOCOVA modeling techniques Geoderma 230-231 2014 288 295
11. D. Corwin, S. Lesch, P. Shouse, R. Soppe, and J. Ayars Identifying soil properties that influence cotton yield using soil sampling directed by apparent soil electrical conductivity Agron. J. 95 2003 352 364
12. Y. Dang, M. Pringle, M. Schmidt, R. Dalal, and A. Apan Identifying the spatial variability of soil constraints using multi-year remote sensing Field Crop Res. 123 2011 248 258
13. E.T. Engman Remote sensing in hydrology D.L. Corwin, K. Loague, T.R. Ellsworth, Assessment of Non-Point Source Pollution in the Vadose Zone 1999 American Geophysical Union Washington, DC, USA 165 177
14. S. Furby, P. Caccetta, and J. Wallace Salinity monitoring in Western Australia using remotely sensed and other spatial data J. Environ. Qual. 39 2010 16 25
15. F. Ghassemi, A.J. Jakeman, and H.A. Nix Salinisation of Land and Water Resources: Human Causes, Extent, Management and Case Studies 1995 CAB international Wallingford, Oxon, UK
16. A.A. Gitelson Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation J. Plant Physiol. 161 2004 165 173
17. A.A. Gitelson, Y.J. Kaufman, and M.N. Merzlyak Use of a green channel in remote sensing of global vegetation from EOS-MODIS Remote Sens. Environ. 58 1996 289 298
18. D.G. Hadjimitsis, C. Papadavid, A. Agapiou, K. Themistocleous, M. Hadjimitsis, A. Retalis, S. Michaelides, N. Chrysoulakis, L. Toulios, and C. Clayton Atmospheric correction for satellite remotely sensed data intended for agricultural applications: impact on vegetation indices Nat. Hazards Earth Syst. Sci. 10 2010 89 95
19. W. Han, Z. Yang, L. Di, and R. Mueller CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support Comput. Electron. Agric. 84 2012 111 123
20. A. Huete, K. Didan, T. Miura, E.P. Rodriguez, X. Gao, and L.G. Ferreira Overview of the radiometric and biophysical performance of the MODIS vegetation indices Remote Sens. Environ. 83 2002 195 213
21. E. Ivits, M. Cherlet, T. Tóth, K. Lewińska, and G. Tóth Characterisation of productivity limitation of salt-affected lands in different climatic regions of Europe using remote sensing derived productivity indicators Land Degrad. Dev. 24 2013 438 452
22. T.J. Jackson, D. Chen, M. Cosh, F. Li, M. Anderson, C. Walthall, P. Doriaswamy, and E. Hunt Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans Remote Sens. Environ. 92 2004 475 482
23. G. Janik Spatial variability of soil moisture as information on variability of selected physical properties of soil Int. Agrophys. 22 2008 35 43
24. Z. Jiang, A.R. Huete, K. Didan, and T. Miura Development of a two-band enhanced vegetation index without a blue band Remote Sens. Environ. 112 2008 3833 3845
25. W. Johnston, D. Westcot, and M. Delmore San Joaquin Valley, California: A case study W.W. Wallender, K.K. Tanji, Agricultural Salinity Assessment and Management. ASCE Manuals and Reports on Engineering Practices No. 71 2012 ASCE Reston, VA, USA 977 1031
26. W.H. Kruskal, and W.A. Wallis Use of ranks in one-criterion variance analysis J. Am. Stat. Assoc. 47 1952 583 621
27. R. Lal, T. Iivari, and J.M. Kimble Soil Degradation in the United States: Extent, Severity, and Trends 2004 CRC Press Boca Raton, FL, USA
28. S. Lesch Sensor-directed response surface sampling designs for characterizing spatial variation in soil properties Comput. Electron. Agric. 46 2005 153 179
29. S.M. Lesch, and D.L. Corwin Prediction of spatial soil property information from ancillary sensor data using ordinary linear regression: model derivations, residual assumptions and model validation tests Geoderma 148 2008 130 140
30. S.M. Lesch, J.D. Rhoades, L.J. Lund, and D.L. Corwin Mapping soil salinity using calibrated electromagnetic measurements Soil Sci. Soc. Am. J. 56 1992 540 548
31. S.M. Lesch, J.D. Rhoades, and D.L. Corwin ESAP-95 version 2.01 R. User manual and tutorial guide Research Rpt. 146 2000
32. J. Letey Soil salinity poses challenges for sustainable agriculture and wildlife Calif. Agric. 54 2000 43 48
33. J. Letey, and A. Dinar Simulated crop-water production functions for several crops when irrigated with saline waters Hilgardia 54 1986 1 32
34. P. Li, L. Jiang, and Z. Feng Cross-comparison of vegetation indices derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM) and Landsat-8 Operational Land Imager (OLI) sensors Remote Sens. 6 2013 310 329
35. D.B. Lobell Remote sensing of soil degradation: introduction J. Environ. Qual. 39 2010 1 4
36. D.B. Lobell, J.I. Ortiz-Monasterio, F.C. Gurrola, and L. Valenzuela Identification of saline soils with multiyear remote sensing of crop yields Soil Sci. Soc. Am. J. 71 2007 777 783
37. D.B. Lobell, S.M. Lesch, D.L. Corwin, M.G. Ulmer, K.A. Anderson, D.J. Potts, J.A. Doolittle, M.R. Matos, and M.J. Baltes Regional-scale assessment of soil salinity in the Red River Valley using multi-year MODIS EVI and NDVI J. Environ. Qual. 39 2010 35 41
38. E. Maas Chapter 13, crop salt tolerance K.K. Tanji, Agricultural Salinity Assessment and Management 1996 American Society of Civil Engineers New York, NY, USA 262
39. J.G. Masek, E.F. Vermote, N.E. Saleous, R. Wolfe, F.G. Hall, K.F. Huemmrich, F. Gao, J. Kutler, and T. Lim A Landsat surface reflectance dataset for North America, 1990-2000 IEEE Geosci. Remote Sens. Lett. 3 2006 68 72
40. A. McBratney, B. Whelan, T. Ancev, and J. Bouma Future directions of precision agriculture Precision Agric. 6 2005 7 23
41. G. Metternicht, and J. Zinck Remote sensing of soil salinity: potentials and constraints Remote Sens. Environ. 85 2003 1 20
42. D.J. Mulla Twenty five years of remote sensing in precision agriculture: key advances and remaining knowledge gaps Biosyst. Eng. 11 2013 358 371
43. I.O. Odeh, and A. Onus Spatial analysis of soil salinity and soil structural stability in a semiarid region of New South Wales, Australia Environ. Manag. 42 2008 265 278
44. J. Rouse, R. Haas, J. Schell, and D. Deering Monitoring vegetation systems in the Great Plains with ERTS Third ERTS Symposium. NASA SP-351 1973 309 317
45. D.P. Roy, J. Ju, K. Kline, P.L. Scaramuzza, V. Kovalskyy, M. Hansen, T.R. Loveland, E. Vermote, and C. Zhang Web-enabled Landsat Data (WELD): Landsat ETM composited mosaics of the conterminous United States Remote Sens. Environ. 114 2010 35 49
46. E. Scudiero, P. Teatini, D.L. Corwin, R. Deiana, A. Berti, and F. Morari Delineation of site-specific management units in a saline region at the Venice Lagoon margin, Italy, using soil reflectance and apparent electrical conductivity Comput. Electron. Agric. 99 2013 54 64
47. E. Scudiero, P. Teatini, D.L. Corwin, N. Dal Ferro, G. Simonetti, and F. Morari Spatio-temporal response of maize yield to edaphic and meteorological conditions in a saline farmland using ground-based canopy reflectance Agron. J. 106 2014 2163 2174
48. G. Singh, D. Bundela, M. Sethi, K. Lal, and S. Kamra Remote sensing and geographic information system for appraisal of salt-affected soils in India J. Environ. Qual. 39 2010 5 15
49. R. Taghizadeh-Mehrjardi, B. Minasny, F. Sarmadian, and B. Malone Digital mapping of soil salinity in Ardakan region, central Iran Geoderma 213 2014 15 28
50. K.K. Tanji, and W.W. Wallender Nature and extent of agricultural salinity and sodicity W.W. Wallender, K.K. Tanji, Agricultural Salinity Assessment and Management. ASCE Manuals and Reports on Engineering Practices No. 71 2012 ASCE Reston, VA, USA 10 25
51. G. Tardivo Spatial and time correlation of thermometers and pluviometers in a weather network database Theor. Appl. Climatol. 2014 10.1007/s00704-014-1148-5
52. J. Triantafilis, G. Laslett, and A. McBratney Calibrating an electromagnetic induction instrument to measure salinity in soil under irrigated cotton Soil Sci. Soc. Am. J. 64 2000 1009 1017
53. S.O. Tweed, M. Leblanc, J.A. Webb, and M.W. Lubczynski Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia Hydrogeol. J. 15 2007 75 96
54. A. Vina, A.A. Gitelson, D.C. Rundquist, G. Keydan, B. Leavitt, and J. Schepers Monitoring maize (Zea mays L.) phenology with remote sensing Agron. J. 96 2004 1139 1147