Winter wheat mapping using temporal signatures of MODIS vegetation index data

International Journal of Remote Sensing

Volumn 33, Issue 16, 2012, Pages 5026-5042

  Sun, Huasheng ^a,b   Xu, Aigong ^a   Lin, Hui ^b   Zhang, Lianpeng ^b   Mei, Yan ^b  

^a LIAONING TECHNICAL UNIVERSITY   (China)

^b JIANGSU NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHARGE COUPLED DEVICES; CROPS; MAPS; PIXELS; RADIOMETERS; REFLECTION; SATELLITE IMAGERY; TIME SERIES;

CHARGE COUPLED DEVICE SENSORS; CHINA-BRAZIL EARTH RESOURCES SATELLITES; ERRORS OF COMMISSIONS; LOW-RESOLUTION BIAS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS VEGETATION INDICES; REFLECTANCE CHARACTERISTICS; REMOTELY SENSED IMAGES;

VEGETATION;

ERS-1; IMAGE CLASSIFICATION; LAND COVER; MAPPING; MODIS; PIXEL; REMOTE SENSING; SATELLITE DATA; SURFACE REFLECTANCE; TEMPORAL ANALYSIS; THEMATIC MAPPING; TIME SERIES ANALYSIS; VEGETATION INDEX; WHEAT;

CHINA;

TRITICUM AESTIVUM; VIRIDIPLANTAE;

EID: 84863259242     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.657366     Document Type: Article

References (38)

1. Andres, L., Salas, W.A. and Skole, D. 1994. Fourier analysis of multi-temporal AVHRR data applied to a land cover classification. International Journal of Remote Sensing, 15: 1115-1121.
2. Boschetti, L., Flasse, S.P. and Brivio, P.A. 2004. Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: the Pareto boundary. Remote Sensing of Environment, 91: 280-292.
3. Carrão, H., Gonçalves, P. and Caetano, M. 2007. Contribution of multispectral and multitemporal information from MODIS images to land cover classification. Remote Sensing of Environment, 112: 986-997.
4. Chen, J., Jönsson, P., Tamura, M., Gu, Z., Matsushita, B. and Eklundh, L. 2004. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sensing of Environment, 91: 332-344.
5. Cihlar, J. 1996. Identification of contaminated pixels in AVHRR composite images for studies of land biosphere. Remote Sensing of Environment, 56: 149-153.
6. Cihlar, J. 2000. Land cover mapping of large areas from satellites: status and research priorities. International Journal of Remote Sensing, 21: 1093-1114.
7. Congalton, R.G. and Green, K. 1999. Assessing the Accuracy of Remotely Sensed Data, Florida, USA: CRC Press.
8. DeFries, R. and Belward, A.S. 2000. Global and regional land cover characterization from satellite data: an introduction to the special issue. International Journal of Remote Sensing, 21: 1083-1092.
9. DeFries, R., Hansen, M. and Townshend, J. 1995. Global discrimination of land cover types from metrics derived from AVHRR pathfinder data. Remote Sensing of Environment, 54: 209-222.
10. Hansen, M., Defries, R., Townshend, J.R.G. and Sohlberg, R. 2000. Global land cover classification at 1 km spatial resolution using a classification tree approach. International Journal of Remote Sensing, 21: 1331-1365.
11. Heiskanen, J. and Kivinen, S. 2008. Assessment of multispectral, -temporal and -angular MODIS data for tree cover mapping in the tundra-taiga transition zone. Remote Sensing of Environment, 112: 2367-2380.
12. Hirosawa, Y., Marsh, S.E. and Kliman, D.H. 1996. Application of standardized principal component analysis to land-cover characterization using multitemporal AVHRR data. Remote Sensing of Environment, 58: 267-281.
13. Holben, B.N. 1986. Characteristics of maximum-value composite images from temporal AVHRR. International Journal of Remote Sensing, 7: 1417-1434.
14. Hsieh, P. and Landgrebe, D. 1998. Low-pass filter for increasing class separability. Proceedings of the IEEE Geoscience and Remote Sensing Symposium, 5: 2691-2693.
15. Huete, A.R., Didan, K., Miura, T., Rodriguez, E.P.R., Gao, X. and Ferreira, L.G. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83: 195-213.
16. Huete, A.R., Liu, H.Q., Batchily, K. and Van Leeuwen, W. 1997. A comparison of vegetation indices global set of TM images for EOS-MODIS. Remote Sensing of Environment, 59: 440-451.
17. Hughes, G.F. 1968. On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory, IT-14: 55-63.
18. Jiang, Z., Huete, A.R., Didan, K. and Miura, T. 2008. Development of a two-band enhanced vegetation index without a blue band. Remote Sensing of Environment, 112: 3833-3845.
19. Jönsson, P. and Eklundh, L. 2002. Seasonality extraction by function fitting to time-series of satellite sensor data. IEEE Transactions on Geoscience and Remote Sensing, 40: 1824-1832.
20. Knight, J.F., Lunetta, R.L., Ediriwickrema, J. and Khorram, S. 2006. Regional scale land-cover characterization using MODIS-NDVI 250 m multitemporal imagery: a phenology based approach. GIScience & Remote Sensing, 43: 1-23.
21. Lambin, E.F. 1996. Change detection at multiple temporal scales: seasonal and annual variations in landscape variables. Photogrammetric Engineering and Remote Sensing, 62: 931-938.
22. Landgrebe, D.A. 2003. Signal Theory Methods in Multispectral Remote Sensing, Hoboken, NJ: John Wiley and Sons Press.
23. Le Hégarat-Mascle, S., Ottlé, C. and Guérin, C. 2005. Land cover change detection at coarse spatial scales based on iterative estimation and previous state information. Remote Sensing of Environment, 95: 464-479.
24. Loveland, T.R., Merchant, J.W., Brown, J.F., Ohlen, D.O., Reed, B.C., Olson, P. and Hutchinson, J. 1995. Seasonal land-cover regions of the United States. Annals of the Association of American Geographers, 85: 339-355.
25. Lunetta, R.L., Knight, F.K., Ediriwickrema, J., Lyon, J.G. and Worthy, L.D. 2006. Land-cover change detection using multi-temporal MODIS NDVI data. Remote Sensing of Environment, 105: 142-154.
26. Menenti, M., Azzali, S., Verhoef, W. and Van Swol, R. 1993. 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: 233-237.
27. Pepe, M., Boschetti, L., Brivio, P.A. and Rampini, A. 2010. Comparing the performance of fuzzy and crisp classifiers on remotely sensed images: a case of snow classification. International Journal of Remote Sensing, 31: 6189-6203.
28. Roberts, D.A., Green, R.O. and Adams, J.B. 1997. Temporal and spatial patterns in vegetation and atmospheric properties from AVIRIS. Remote Sensing of Environment, 62: 223-240.
29. Sakamoto, T., Yokozawa, M., Tritani, H., Shibayama, M., Ishitsuka, N. and Ohno, H. 2005. A crop phenology detection method using time-series MODIS data. Remote Sensing of Environment, 96: 366-374.
30. Savitzky, A. and Golay, M.J.E. 1964. Smoothing and differentiation of data by simplified least squares procedures. Analytical Chemistry, 36: 1627-1639.
31. Sedano, F., Gong, P. and Ferrao, M. 2005. Land cover assessment with MODIS imagery in southern African Miombo ecosystems. Remote Sensing of Environment, 98: 429-441.
32. Sellers, P.J., Tucker, C.J., Collatz, G.J., Los, S.O., Justice, C.O., Dazlich, D.A. and Randall, D.A. 1994. A global 1° by 1° NDVI data set for climate studies: part II. The generation of global fields of terrestrial biophysical parameters from the NDVI. International Journal of Remote Sensing, 15: 3519-3545.
33. Sun, H., Huang, J. and Peng, D. 2009. Detecting major growth stages of paddy rice using MODIS data. Journal of Remote Sensing (China), 13: 1122-1129.
34. Taddei, R. 1997. Maximum value interpolated (MVI): a maximum value composite method improvement in vegetation index profiles analysis. International Journal of Remote Sensing, 18: 2365-2370.
35. Viovy, N., Arino, O. and Belward, A.S. 1992. The Best Index Slope Extraction (BISE): a method for reducing noise in NDVI time series. International Journal of Remote Sensing, 13: 1585-1590.
36. Wardlow, B.D. and Egbert, S.L. 2008. 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: 1096-1116.
37. Wardlow, B.D., Egbert, S.L. and Kastens, J.H. 2007. 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: 290-310.
38. Wolfe, R.E., Hishihama, M., Fleig, A.J., Kuyper, J.A., Roy, D.P., Storey, J.C. and Patt, F.S. 2002. Achieving sub-pixel geolocation accuracy in support of MODIS land science. Remote Sensing of Environment, 83: 31-49.