An approach for delineating homogeneous zones by using multi-sensor data

Geoderma

Volumn 199, Issue , 2013, Pages 117-127

  De Benedetto, D ^a   Castrignano A ^a   Rinaldi, M ^a   Ruggieri, S ^a   Santoro, F ^b   Figorito, B ^b   Gualano, S ^b   Diacono, M ^a   Tamborrino, R ^a  

^a ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

^b ISTITUTO AGRONOMICO MEDITERRANEO   (Italy)

Author keywords

EMI; Geostatistics; GPR; Hyperspectral spectroscopy; Management zone; Remote sensing

Indexed keywords

CLUSTERING ALGORITHMS; DATA FUSION; ELECTRIC CONDUCTIVITY; ELECTROMAGNETIC INDUCTION; GEOLOGICAL SURVEYS; GROUND PENETRATING RADAR SYSTEMS; IMAGE RECONSTRUCTION; INFRARED DEVICES; MICROCOMPUTERS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SOILS; VEGETATION;

ELECTROMAGNETIC INDUCTIONS (EMI); FIRST PRINCIPAL COMPONENTS; GEO-STATISTICS; GROUND PENETRATING RADAR (GPR); HYPERSPECTRAL; HYPERSPECTRAL REFLECTANCE; MANAGEMENT ZONES; MULTIVARIATE GEOSTATISTICS;

SENSOR DATA FUSION;

CROP PERFORMANCE; ELECTRICAL CONDUCTIVITY; ELECTROMAGNETIC METHOD; GEOSTATISTICS; GROUND PENETRATING RADAR; HETEROGENEITY; KRIGING; NDVI; NEAR INFRARED; REMOTE SENSING; SENSOR; SITE SELECTION; SOIL PROFILE; SPATIAL ANALYSIS; SPATIAL VARIATION; SPECTRAL REFLECTANCE;

EID: 84875684570     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2012.08.028     Document Type: Article

References (51)

1. Adamchuk V. On-the-go soil sensors - are we there yet?. Proceeding of The Second Global Workshop on Proximal Soil Sensing - Montreal 2011, 160-163.
2. Allred B. Agricultural Geophysics: Past/Present Accomplishments and Future Advancements. Keynote Presentation. Proceeding of The Second Global Workshop on Proximal Soil Sensing - Montreal 2011, 24-31.
3. Analytical Spectral Devices (ASD) Inc. FieldSpec®Pro User's Guide 2003, Analytical Spectral Devices Inc, Boulder CO, USA.
4. Barnes E.M., Clarke T.R., Richards S.E., Colaizzi P.D., Haberland J., Kostrzewski M., Waller P., Choi C., Riley E., Thompson T., Lascano R.J., Li H., Moran M.S. Coincident detection of crop water stress, nitrogen status and canopy density using ground-based multispectral data. Proceedings of the 5th International Conference on Precision Agriculture 2000, American Society of Agronomy, Madison, WI. P.C. Robert, R.H. Rust, W.E. Larson (Eds.).
5. Basso B., Cammarano D., De Vita P. Remotely sensed vegetation indices: theory and applications for crop management. Rivista Italiana di Agrometeorologia 2004, 1:36-53.
6. Basso B., Cammarano D., Grace P.R., Cafiero G., Sartori L., Pisante M., Landi G., De Franchi S., Basso F. Criteria for selecting optimal nitrose fertilizer rates for precision agriculture. Italian Journal of Agronomy 2009, 4:147-158.
7. Biewer S., Erasmi S., Fricke T., Wachendorf M. Prediction of yield and the contribution of legumes in legume-grass mixtures using field spectrometry. Precision Agriculture 2009, 10:128-144.
8. Bronson K.F., Chua T.T., Booker J.D., Keeling J.W., Lascano R.J. In-season nitrogen status sensing in irrigated cotton: II. Leaf nitrogen and biomass. Soil Science Society of America Journal 2003, 67:1439-1448.
9. Castrignanò A., Giugliarini L., Risaliti R., Martinelli N. Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics. Geoderma 2000, 97:39-60.
10. Castrignanò A., Wong M.T.F., Stelluti M., De Benedetto D., Sollitto D. Use of EMI, gamma-ray emission and GPS height as multi-sensor data for soil characterisation. Geoderma 2012, 10.1016/j.geoderma.2012.01.013.
11. Chilès J.P., Delfiner P. Geostatistics: Modelling Spatial Uncertainty 1999, Wiley, New York, 695 pp.
12. Claerbout J.F. Fundamentals of geophysical data processing: with applications to petroleum prospecting. Blackwell Scientific Publications 1985, Palo Alto, CA.
13. Colombo R., Bellingeri D., Fasolini D., Marino C.M. Retrieval of leaf area index in different vegetation types using high resolution satellite data. Remote Sensing of Environment 2003, 86:120-131.
14. Datt B. Visible/near infrared reflectance and chlorophyll content in Eucalyptus leaves. International Journal of Remote Sensing 1999, 20(14):2741-2759.
15. Davis J.L., Annan A.P. Ground penetrating radar for high resolution mapping of soil and rock stratigraphy. Geophysical Prospecting 1989, 37:531-551.
16. De Benedetto D., Castrignanò A., Sollitto D., Modugno F. Spatial relationship between clay content and geophysical data. Clay Minerals 2010, 45(2):197-207.
17. De Benedetto D., Castrignanò A., Sollitto D., Modugno F., Buttafuoco G., lo Papa G. Integrating geophysical and geostatistical techniques to map the spatial variation of clay. Geoderma 2011, 10.1016/j.geoderma.2011.05.005.
18. Digital Globe Insight is in the details. GEO: Geoconnexion International Magazine 2010, 9(10):25-28. Editorial Roger Longhorn. ISSN: 1476-8941.
19. Drissi R., Goutouly J.P., Forget D., Gaudillere J.P. Nondestructive measurement of grapevine leaf area by ground normalized difference vegetation index. Agronomy Journal 2009, 101:226-231.
20. FAO-UNESCO Bioclimatic map of the Mediterranean Zone, explanatory notes 1963, The United Nations Educational, Scientific and Cultural Organization, Place de Fontenoy, Paris, France.
21. Fava F., Colombo R., Bocchi S., Meroni M., Sitzia M., Fois N., Zucca C. Identification of hyperspectral vegetation indices for Mediterranean pasture characterization. International Journal of Applied Earth Observation and Geoinformation 2009, 11:233-243.
22. Feller C., Bleiholder H., Buhr L., Hack H., Hess M., Klose R., Meier U., Stauss R., Van Den Boom R., Weber E. Phänologische Entwicklungsstadien von Gemüsepflanzen: II. Fruchtgemüse und Hülsenfrüchte. Nachrichtenblatt des Deutschen Pflanzenschutzdienstes 1995, 47:217-232.
23. Geovariances Isatis Technical Ref., release 11.02 2011, Geovariances & Ecole Des Mines De Paris, Avon Cedex, France.
24. Gitelson A.A., Kaufman Y.J., Merzlyak M.N. Use of green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment 1996, 58:289-298.
25. Gitman I. An algorithm for non supervised pattern classification. IEE Transactions on Systems, Man and Cybernetics, SMC 1973, 3:66-74.
26. Goovaerts P. Geostatistics for Natural Resources Evaluation 1997, Oxford University Press, New York.
27. Guastaferro F., Castrignanò A., De Benedetto D., Sollitto D., Troccoli A., Cafarelli B. A comparison of different algorithms for the delineation of management zones. Precision Agriculture 2010, 11(6):600-620.
28. Huete A.R. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 1988, 25:295-309.
29. Huizinga D.H. A Natural or Mode Seeking Cluster Analysis Algorithm. Technical Report 78-1 1978, Behavioral Research Institute, Boulder, Colorado.
30. Journel A.G., Huijbregts C.J. Mining Geostatistics 1978, Academic Press, London, 600 pp.
31. Knight R., Tercier P., Jol H. The role of ground-penetrating radar and geostatistics in reservoir description. The Leading Edge 1997, 16(11):1576-1582.
32. Lajaunie C., Béhaxétéguy J.P. Elaboration d'un programme d'ajustement semi-automatique d'un modèle de corégionalisation - Theorie. Technical Report N21/89/G 1989, ENSMP, Paris, 6 pp.
33. Lark R.M. Forming spatially coherent regions by classification of multivariate data: an example from the analysis of maps of crop yield. International Journal of Geographical Information Science 1998, 12:83-98.
34. Lesch S.M., Rhoades J.D., Lund L.J., Corwin D.L. Mapping soil salinity using calibrated electromagnetic measurements. Soil Science Society of America Journal 1992, 56:540-548.
35. McNeill J.D. Electromagnetic terrain conductivity measurement at low induction numbers. Geonics Limited, Technical Note TN 6 1980, Geonics Ltd., Mississauga, Ontario, Canada.
36. Milton E.J., Schaepman M.E., Anderson K., Kneubühler M., Fox N. Progress in field spectroscopy. Remote Sensing of Environment 2009, 113:S92-S109.
37. Molin J.P., Faulin G.C. The influence of soil moisture on the spatial and temporal variability of soil electrical conductivity. Proceeding of The Second Global Workshop on Proximal Soil Sensing - Montreal 2011, 12-15.
38. Reedy R.C., Scanlon B.R. Soil water content monitoring using electromagnetic induction. Journal of Geotechnical and Geoenvironmental Engineering 2003, 129(11):1-12.
39. Rodriguez D., Sadras V.O., Christensen L.K., Belford R. Spatial assessment of the physiological status of wheat crops as affected by water and nitrogen supply using infrared thermal imagery. Australian Journal of Agricultural Research 2005, 56:983-993.
40. Rodriguez D., Fitzgerald G.J., Belford R., Christensen L.K. Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop eco-physiological concepts. Australian Journal of Agricultural Research 2006, 57:781-789.
41. Sandmeier Scientific Software Reflexw, v.6, Program for processing and interpretation of reflection and transmission data 2011, User's Manual online version, Karlruhe, Germany.
42. SAS Institute Inc. SAS/STAT Software Release 9.2, Cary, NC, USA 2010.
43. Scott D.W. Multivariate Density Estimation: Theory, Practice, and Visualization 1992, Wiley, New York.
44. Sénéchel P., Perroud H., Garambois S. Geometrical and physical parameters comparison between GPR data and other geophysical data. Extended Abstract. 8th 741 International Conference on Ground Penetrating Radar. Gold Coast, Australia 2000.
45. Silverman B.W. Density Estimation 1986, Chapman and Hall, New York.
46. Sudduth K.A., Kitchen N.R., Wiebold W.J., Batchelor W.D., Bollero G.A., Bullock D.G., Clay D.E., Palm H.L., Pierce F.J., Schuler R.T., Thelen K.D. Relating apparent electrical conductivity top soil properties across the North-Central USA. Computers and Electronics in Agriculture 2005, 46:263-283.
47. Taylor J.A., Short M., McBratney A.B., Wilson J. Comparing the ability of multi- soil sensors to predict soil properties in a Scottish Potato Production System. Proximal soil sensing. Progress in Soil Science 2010, 1(Part 6):387-396. 10.1007/ 978-90-481-8859-8_33.
48. Thenkabail P.S., Enclona E.A., Ashton M.S., Van Der Meer B. Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications. Remote Sensing of Environment 2004, 91:354-376.
49. Wackernagel H. Multivariate Geostatistics: An Introduction with Applications 2003, Springer Verlag, Berlin, 388 pp. 3rd ed.
50. Williams B.G., Hoey D. The use of electromagnetic induction to detect the spatial variability of salt and clay content of soils. Australian Journal of Soil Research 1987, 25:21-27.
51. Wong M.T.F., Wittwer K., Oliver Y.M., Robertson M.J. Use of EM38 and gamma-ray spectrometry as complementary sensors for high resolution soil property mapping. Proximal Soil Sensing Book Series: Progress in Soil Science No1 2010, 343-349. Springer, Dordrecht, The Netherlands. R. Viscarra Rossel, A.B. McBratney, B. Minasny (Eds.).