The spatial distribution of crop types from MODIS data: Temporal unmixing using Independent Component Analysis

Remote Sensing of Environment

Volumn 114, Issue 6, 2010, Pages 1190-1204

  Ozdogan, Mutlu ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Agriculture; Crops; ICA; MODIS; Turkey; Unmixing; Wheat

Indexed keywords

AGRICULTURE CROPS; COARSER RESOLUTION; CONSTRAINED ESTIMATION; CROP GROWTH; CROP MONITORING; CROPPING PATTERNS; GROUND TRUTH; INDEPENDENT COMPONENTS; MIXING PROCESS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NEBRASKA; NORTHWESTERN TURKEY; PRIOR INFORMATION; REMOTE SENSORS; RESOLUTION SENSORS; SIGNAL PROCESSING ALGORITHMS; SPATIAL DISTRIBUTION; SPATIAL RESOLUTION; SPECTRAL BAND; SYNTHETIC DATA; TEMPORAL MEASUREMENTS; TEMPORAL PROFILE; UNMIXING; VEGETATION INDEX;

CROPS; HEMODYNAMICS; MULTIVARIANT ANALYSIS; RADIOMETERS; REMOTE SENSING; SIGNAL PROCESSING; SIZE DISTRIBUTION; SPECTROMETERS; VEGETATION;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; CROP PRODUCTION; GROWTH CURVE; IMAGE ANALYSIS; IMAGE RESOLUTION; MODIS; SPATIAL DISTRIBUTION; SPATIOTEMPORAL ANALYSIS; UNSUPERVISED CLASSIFICATION; WHEAT;

KANSAS; NEBRASKA; TURKEY; UNITED STATES;

TRITICUM AESTIVUM;

EID: 77949486575     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.01.006     Document Type: Article

References (50)

1. Adams J.B., Smith M.O., and Johnson P.E. Spectral mixture modeling: A new analysis of rock and soil types at Viking Lander I site. Journal of Geophysical Research 91 (1986) 8098-8112
2. Allen J.D. A look at the remote sensing applications program of the National Agricultural Statistics Service. Journal of Official Statistics 6 (1990) 393-409
3. Badhwar G.D. Automatic corn-soybean classification using Landsat MSS data. I. Near-harvest crop proportion estimation. Remote Sensing of Environment 14 1-3 (1984) 15-29
4. Badhwar G.D. Automatic corn-soybean classification using Landsat MSS data. II. Early season crop proportion estimation. Remote Sensing of Environment 14 1-3 (1984) 31-37
5. Badhwar G.D. Classification of corn and soybeans using multitemporal thematic mapper data. Remote Sensing of Environment 16 2 (1984) 175-181
6. Balsi M., Filosa G., Valente G., and Pantano P. Constrained ICA for functional magnetic resonance imaging. Proceedings of the 2005 European Conference on circuit theory and design, 28 August-2 September, 2005 Vol. 2 (2005) II/67-II/70
7. Carfagna E., and Javier Gallego F. Using remote sensing for agricultural statistics. International Statistical Review 73 3 (2005) 389-404
8. Cherchali S., Amram O., and Flouzat G. Retrieval of temporal profiles of reflectances from simulated and real NOAA-AVHRR data over heterogeneous landscapes. International Journal of Remote Sensing 21 4 (2000) 753-775
9. Comon P. Independent Component Analysis: A new concept?. Signal Processing 36 3 (1994) 287-314
10. Cover T.M., and Thomas J.A. Elements of information theory (1991), John Wiley & Sons, New York 542 pp
11. Deaton A., and Laroque G. On the behavior of commodity prices. Review of Economic Studies 59 1 (1992) 1-23
12. Faivre R., and Fischer A. Predicting crop reflectances using satellite data observing mixed pixels. Journal of Agricultural, Biological, and Environmental Statistics 2 1 (1997) 87-107
13. Famine Early Warning System (FEWS). Famine early warning system network home page, USAID FEWS NET (2005)
14. Fischer A. A simple model for the temporal variations of NDVI at regional scale over agricultural countries. Validation with ground radiometric measurements. International Journal of Remote Sensing 15 7 (1994) 1421-1446
15. Fischer G., van Velthuizen H., Shah M., and Nachtergaele F. Global agro-ecological assessment for agriculture in the 21st century: Methodology and results (research report RR-02-02) (2002), International Institute for Applied Systems Analysis (IIASA) and Food and Agriculture Organization (FAO) of the United Nations (UN), Laxenburg, Austria
16. Friedl M.A., McIver D.K., Hodges J.C.F., Zhang X.Y., Muchoney D., Strahler A.H., et al. Global land cover mapping from MODIS: Algorithms and early results. Remote Sensing of Environment 83 (2002) 287-302
17. Hall F.G., and Badhwar G.D. Signature-extendable technology: Global space-based crop recognition. IEEE Transactions on Geoscience and Remote Sensing GE-25 1 (1987) 93-103
18. Hanuschak G., Hale R., Craig M., Mueller R., and Hart G. The new economics of remote sensing for agricultural statistics in the United States. Proc. of the Conference on agricultural and environmental statistical applications in Rome (CAESAR) Vol. 2 (2001) XXII.1-XXII.10 June 5-7
19. Hyvärinen A. Survey on independent component analysis. Neural Computing Surveys 2 (1999) 94-128
20. Hyvärinen A. Fast and robust fixed-point algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks 10 3 (1999) 626-634
21. Hyvärinen A., and Oja E. Independent component analysis, algorithms and applications. Neural Networks 13 4-5 (2000) 411-430
22. Jordan C.F. Derivation of leaf area index from quality measurements of light on the forest floor. Ecology 50 (1969) 663-666
23. Kastens J.J., Kastens T.L., Kastens D.L.A., Price K.P., Martinko E.A., and Lee R.Y. Image masking for crop yield forecasting using AVHRR NDVI time series imagery. Remote Sensing of Environment 99 (2005) 341-356
24. Keiser G., and Schneider W. Estimation of sensor point spread function by spatial subpixel analysis. International Journal of Remote Sensing 29 7 (2008) 2137-2155
25. Kerdiles H., and Grondona M. NOAA-AVHRR NDVI decomposition and subpixel classification using linear mixing in the Argentina Pampa. International Journal of Remote Sensing 16 (1995) 1303-1325
26. Lee T.Y., and Kaufman Y.J. Non-Lambertian effects on remote sensing of surface reflectance and vegetation index. IEEE Transactions on Geoscience and Remote Sensing 24 (1986) 699-708
27. Lobell D.B., and Asner G.P. Cropland distributions from temporal unmixing of MODIS data. Remote Sensing of Environment 93 (2004) 412-422
28. Markham B.L. The Landsat sensors' spatial responses. IEEE Transactions on Geoscience and Remote Sensing GE-23 6 (1985) 864-875
29. Menenti M., Azzali S., Verhoef W., and Van Swol R. Mapping agro-ecological zones and time lag in vegetation growth by means of Fourier analysis of time series of NDVI images. Advances in Space Research 13 (1993) 233-237
30. Moulin S.A., Fischer G.D., and Delecolle R. Temporal variations in satellite reflectances at field and regional scales compared with values simulated by linking crop growth and SAIL models. Remote Sensing of Environment 54 3 (1995) 261-272
31. NASS. National Agricultural Statistics Service (NASS), Cropland Data Layer (2008) NASS Cropland Data Layer webpage (2009). http://www.nass.usda.gov/research/Cropland/SARS1a.htm http://www.nass.usda.gov/research/Cropland/SARS1a.htm (last accessed 27 November 2009)
32. Nelson G.C. Introduction to the special issue on spatial analysis for agricultural economists. Agricultural Economics 27 (2002) 197-200
33. Ozdogan M., and Woodcock C.E. Resolution dependent errors in remote sensing of cultivated areas. Remote Sensing of Environment 103 (2006) 203-217
34. Price K.P., Egbert S.L., Nellis M.D., Lee R.Y., and Boyce R. Mapping land cover in a high plains agro-ecosystem using a multidate Landsat thematic mapper modeling approach. Transactions of the Kansas Academy of Science 100 1-2 (1997) 21-33
35. Puyou-Lascassies P., Flouzat G., Gay M., and Vignolles C. Validation of the use of multiple linear regression as a tool for unmixing coarse spatial resolution images. Remote Sensing of Environment 49 (1994) 155-166
36. Quarmby N.A., Townshend J.R.G., Settle J.J., White K.H., Milnes M., Hindle T.L., and Silleos N. Linear mixture modeling applied to AVHRR data for crop area estimation. International Journal of Remote Sensing 13 3 (1992) 415-425
37. Roujean J.-L., Leroy M., and Deschamps P.Y. A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data. Journal of Geophysical Research 97 (1992) 20,455-20,468
38. Rouse J.W., Haas R.H., Schell J.A., and Deering D.W. Monitoring vegetation systems in the great plains with ERTS. Third ERTS symposium, NASA SP-351 vol. I (1973) 309-317
39. Schaaf C.B., Gao F., Strahler A.H., Lucht W., Li X., Tsang T., et al. First operational BRDF, Albedo and Nadir reflectance products from MODIS. Remote Sensing of Environment 83 (2002) 135-148
40. Smith J.H., and Ramey D.B. A crop area estimator based on changes in the temporal profile of a vegetative index (1982), Proceedings of the Survey Research Methods Section, American Statistical Association 495-498
41. Stone J.V., Porril J., Porter N.R., and Hunkin N.M. Spatiotemporal ICA of fMRI data. Computational neuroscience report vol. 202 (2000) 7
42. Townshend J.R.G., and Justice C. Towards operational monitoring of terrestrial systems by moderate-resolution remote sensing. Remote Sensing of Environment 83 (2002) 351-359
43. Van Hulle M.M. Constrained subspace ICA based on mutual information optimization directly. Neural Computation 20 4 (2008) 964-973
44. Vyas S.P., Oza M.P., and Dadhwal V.K. Multi-crop separability study of Rabi crops using multi-temporal satellite data. Journal of Indian Society of Remote Sensing 33 1 (2005) 75-79
45. Wang J., and Chang C.-I. Applications of Independent Component Analysis (ICA) in endmember extraction and abundance quantification for hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing 44 9 (2006) 2601-2616
46. Wang J., and Chang C.-I. Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis. IEEE Transactions on Geoscience and Remote Sensing 44 6 (2006) 1586-1600
47. Wardlow B.D., and Egbert S.L. Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains. Remote Sensing of Environment 112 (2008) 1096-1116
48. Wardlow B.D., Egbert S.L., and Kastens J.H. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains. Remote Sensing of Environment 108 3 (2007) 290-310
49. Xiao X., Boles S., Frolking S., Li C., Babu J.Y., Salas W., et al. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sensing of Environment 100 (2006) 95-113
50. You L., Wood S., Wood-Sichra U., and Chamberlin J. Generating plausible crop distribution maps for sub-Sahara Africa using spatial allocation model. Information Development 23 2-3 (2004) 151-159