Detecting winter wheat phenology with SPOT-VEGETATION data in the North China Plain

Geocarto International

Volumn 29, Issue 3, 2014, Pages 244-255

  Lu, Linlin ^a   Wang, Cuizhen ^b   Guo, Huadong ^a   Li, Qingting ^a  

^a CENTER FOR EARTH OBSERVATION AND DIGITAL EARTH   (China)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

phenology; SPOT VEGETATION; time series; winter wheat

Indexed keywords

GAUSSIAN METHOD; MAIZE; NDVI; PHENOLOGY; SATELLITE DATA; SPATIAL VARIATION; SPOT; TIME SERIES ANALYSIS; WHEAT;

CHINA; NORTH CHINA PLAIN;

EID: 84903526980     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2012.760004     Document Type: Article

References (37)

1. Ahl DE, Gower ST, Burrows SN, Shabanov NV, Myneni RB, Knyazikhin Y. 2006. Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS. Remote Sens Environ. 104:88-95.
2. Bradley BA, Jacob RW, Hermance JF, Mustard JF. 2007. A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data. Remote Sens Environ. 106:137-145.
3. Chen J, Le Toan T, Kergoat L, Fedotova V. 2004. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sens Environ. 91:332-344.
4. Delbart N, et al. 2006. Remote sensing of spring phenology in boreal regions: a free of snow-effect method using NOAA-AVHRR and SPOT-VGT data (1982-2004). Remote Sens Environ. 101:52-62.
5. Fisher JI, Mustard JF. 2007. Cross-scalar satellite phenology from ground, Landsat, and MODIS data. Remote Sens Environ. 109:261-273.
6. Fisher JI, Mustard JF, Vadeboncoeur MA. 2006. Green leaf phenology at Landsat resolution: scaling from the field to the satellite. Remote Sens Environ. 100:265-279.
7. Heumann BW, Seaquist JW, Eklundh L, Jönsson P. 2007. AVHRR derived phenological change in the Sahel and Soudan, Africa, 1982-2005. Remote Sens Environ. 108:385-392.
8. Holben BN. 1986. Characteristics of maximum-value composite images from temporal AVHRR data. Int J Remote Sens. 7:1417-1434.
9. Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ. 83:195-213.
10. IPCC. 2007. Summary for policymakers. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge, United Kingdom and New York, NY, USA.
11. Jönsson P, Eklundh L. 2002. Seasonality extraction by function fitting to time-series of satellite sensor data. IEEE Trans Geosci Remote Sens. 40:1824-1832.
12. Jönsson P, Eklundh L. 2004. TIMESAT - a program for analyzing time-series of satellite sensor data. Comput Geosci. 30:833-845.
13. Justice CO, Townshend JRG, Holben BN, Tucker CJ. 1985. Analysis of the phenology of global vegetation using meteorological satellite data. Int J Remote Sens. 6:1271-1318.
14. Kidwell KB. 1998. NOAA polar orbiter data user's guide, US. Washington, DC: Department of Commerce.
15. Levenberg K. 1944. A method for the solution of certain problems in least squares. Q Appl Math. 2:164-168.
16. Lloyd D. 1990. A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery. Int J Remote Sens. 11:2269-2279.
17. Lu L, Guo H. 2009. Extraction method of winter wheat phenology from time series of SPOT/VEGETATION data (in Chinese). Trans Chinese Soc Agri Eng. 9:174-179.
18. Maisongrande P, Duchemin B, Dedieu G. 2004. VEGETATION/SPOT: an operational mission for the Earth monitoring; presentation of new standard products. Int J Remote Sens. 25:9-14.
19. Marquardt DW. 1963. An algorithm for least-squares estimation of nonlinear parameters. SIAM J Appl Math. 11:431-441.
20. Menzel A, Sparks TH, Estrella N, Aasa A, Ahas R, Alm-Kübler K, Bissolli P, Braslavská O, Briede A, et al. 2006. European phenological response to climate change matches the warming pattern. Glob Change Biol. 12:1969-1976.
21. Moulin S, Kergoat L, Viovy N, Dedieu G. 1997. Global-scale assessment of vegetation phenology using NOAA/AVHRR satellite measurements. J. Clim, 10: 1154-1170.
22. Myneni RB, Keeling CD, Tucker CJ, Asrar G, Nemani RR. 1997. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature. 386:698-702.
23. National Bureau of Statistics of China. 2011. China statistical yearbook 2011. Beijing: China Statistics Press.
24. PRC [People's Republic of China]. 2007. China's national assessment report on climate change (in Chinese). Beijing: Science Publishing House.
25. Reed BC, VanderZee D, Loveland TR, Merchant JW, Ohlen DO. 1994. Measuring phenological variability from satellite imagery. J Veg Sci. 5:703-714.
26. Sadras VO, Monzon JP. 2006. Modelled wheat phenology captures rising temperature trends: shortened time to flowering and maturity in Australia and Argentina. Field Crops Res. 99:136-146.
27. Savitzky A, Golay MJE. 1964. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem. 36:1627-1639.
28. Schwartz MD. 1994. Monitoring global change with phenology: the case of the spring green wave. Int J Biometeorol. 38:18-22.
29. Schwartz MD, Ahas R, Aasa A. 2006. Onset of spring starting earlier across the Northern Hemisphere. Glob Change Biol. 12:343-351.
30. Soudani K, Maire G, Dufrêne E, François C, Delpierre N, Ulrich E, Cecchini S. 2008. Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Remote Sens Environ. 112:643-2655.
31. Tottman DR, Makepeace RJ, Broad H. 1979. An explanation of the decimal code for the growth stages of cereals, with illustrations. Annals Appl Biol. 93:221-234.
32. Wang C, Fritschi FB, Stacey G, Yang Z. 2011. Phenology-based assessment of perennial energy crops in North American tallgrass prairie. Ann Assoc Am Geogr. 101:742-751.
33. Xin J, Yu Z, Driess PM. 2001. Monitoring phenological key stages of winter wheat with NOAA NDVI data (in Chinese). J Remote Sens. 5:442-447.
34. Yan H, Xiao X, Huang H. 2010. Satellite observed crop calendar and its spatial-temporal characteristics in multiple cropping area of Huang-Huai-Hai Plain (in Chinese). Acta Ecologica Sinica. 30:2416-2423.
35. Zhang XY, Friedl MA, Schaaf CB, Strahler AH, Hodges JCF, Gao F, Reed BC, Huete A. 2003. Monitoring vegetation phenology using MODIS. Remote Sens Environ. 84:471-475.
36. Zhang F, Wu B, Liu C, Luo Z. 2004. Methods of monitoring crop phonological stages using time series of vegetation indicator. Trans Chinese Soc Agri Eng. 20:155-159.
37. Zhang XY, Friedl MA, Schaaf CB. 2006. Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): evaluation of global patterns and comparison with in situ measurements. J Geo Res G: Biogeosci. 111(G04017).