Evaluating MODIS phenology product for rotating croplands through ground observations

Journal of Applied Remote Sensing

Volumn 7, Issue 1, 2013, Pages

  Xiao, Weiwei ^a,b,c   Sun, Zhigang ^d   Wang, Qinxue ^d   Yang, Yonghui ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b ANKANG UNIVERSITY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^d NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

Author keywords

MODIS; phenology; remote sensing; rotating cropland

Indexed keywords

CROPS; GRAIN (AGRICULTURAL PRODUCT); REMOTE SENSING; VEGETATION;

EVALUATION CRITERIA; GROUND OBSERVATIONS; MODIS; NORTH CHINA PLAIN; PHENOLOGY; ROTATING CROPLAND; STATISTICAL DATAS; VEGETATION PHENOLOGY;

RADIOMETERS;

EID: 84894633839     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.7.073562     Document Type: Article

References (22)

1. J. T. Morisette et al., "Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century," Frontiers Ecol. Environ. 7(5), 253-260 (2009), http://dx.doi.org/10.1890/070217.
2. J. F. Xin et al., "Mapping crop key phenological stages in the North China Plain using NOAA time series images," Int. J. Appl. Earth Observat. Geoinf. 4(2), 109-117 (2002), http://dx.doi.org/10.1016/S0303-2434(02)00007-7.
3. S. Kang et al., "A regional phenology model for detecting onset of greenness in temperate mixed forests, Korea: an application of MODIS leaf area index," Rem. Sens. Environ. 86(2), 232-242 (2003), http://dx.doi.org/10. 1016/S0034-4257(03)00103-2.
4. M. D. Schwartz, B. C. Reed, and M. A. White, "Assessing satellite-derived start-of-season measures in the conterminous USA," Int. J. Climatol. 22(14), 1793-1805 (2002), http://dx .doi.org/10.1002/(ISSN)1097- 0088.
5. M. A. White, P. E. Thornton, and S. W Running, "A continental phenology model for monitoring vegetation responses to interannual climatic variability," Global Biogeochem. Cycles 11(2), 217-234 (1997), http://dx.doi.org/10.1029/97GB00330.
6. K. P. Gallo and T K. Flesch, "Large-area crop monitoring with the NOAA AVHRR: estimating the silking stage of corn development," Rem. Sens. Environ. 27(1), 73-80 (1989), http://dx.doi.org/10.1016/0034-4257(89)90038-2.
7. D. Lloyd, "A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery," Int. J. Rem. Sens. 11(12), 2269-2279 (1990), http://dx.doi.org/10 .1080/01431169008955174.
8. C. J. Tucker et al., "Monitoring corn and soybean crop development with hand-held radiometer spectral data," Rem. Sens. Environ. 8(3), 237-248 (1979), http://dx.doi.org/10.1016/0034-4257(79)90004-X.
9. S. Studer et al., "A comparative study of satellite and ground-based phenology," Int. J. Biometeorol. 51(5), 405-414 (2007), http://dx.doi.org/10.1007/s00484-006-0080-5.
10. I. Chuine, G. Cambon, and P. Comtois, "Scaling phenology from the local to the regional level: advances from species-specific phenological models," Global Change Biol. 6(8), 943-952 (2000), http://dx.doi.org/10. 1046/j.1365-2486.2000.00368.x.
11. B. C. Reed et al., "Measuring phenological variability from satellite imagery," J. Veg. Sci. 5(5), 703-714 (1994), http://dx.doi.org/ 10.2307/3235884.
12. X. Y. Zhang, M. A. Friedl, and C.B. Schaaf, "Sensitivity of vegetation phenology detection to the temporal resolution of satellite data," Int. J. Rem. Sens. 30(8), 2061-2074 (2009), http://dx.doi.org/10. 1080/01431160802549237.
13. B. Duchemin, J. Goubier, and G. Courrier," Monitoring phenological key stages and cycle duration of temperate deciduous forest ecosystems with NOAA/AVHRR data," Rem. Sens. Environ. 67(1), 68-82 (1999), http://dx.doi.org/10.1016/S0034-4257(98)00067-4.
14. J. H. Meng et al., "Monitoring crop phenology with MERIS data-a case study of winter wheat in North China Plain," in Proceedings of PIERS 2009 in Beijing, J. A. Kong, Ed., pp. 1225-1228, Electromagnetics Academy, Cambridge (2009).
15. X. Y. Zhang, M. A. Friedl, and C. B. Schaaf, "Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): evaluation of global patterns and comparison with in situ measurements," J. Geophys. Res. 111(G4), G04017 (2006), http://dx.doi .org/10.1029/2006JG000217.
16. X. Y Zhang et al., "Monitoring vegetation phenology using MODIS," Rem. Sens. Environ. 84(3), 471-475 (2003), http://dx.doi.org/10. 1016/S0034-4257(02)00135-9.
17. L. Liang, M. D. Schwartz, and S. Fei, "Validating satellite phenology through intensive ground observation and landscape scaling in a mixed seasonal forest," Rem. Sens. Environ. 115(1), 143-157 (2011), http://dx.doi.org/10.1016/j.rse.2010.08.013.
18. S. Ganguly et al., "Land surface phenology from MODIS : characterization of the Collection 5 global land cover dynamics product," Rem. Sens. Environ. 114(8), 1805-1816 (2010), http://dx.doi.org/10.1016/j.rse. 2010.04.005.
19. K. Soudani et al., "Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data," Rem. Sens. Environ. 112(5), 2643-2655 (2008), http://dx.doi.org/10.1016/j.rse.2007.12 .004.
20. R. Guo et al., "Responses of crop yield and water use efficiency to climate change in the North China Plain," Agric. Water Manage. 97(8), 1185-1194 (2010), http://dx.doi.org/10 .1016/j.agwat.2009.07.006.
21. H. C. Zhang and Z. S. Liu, China Agricultural Yearbook, H. C. Zhang and Z. S. Liu, Eds., China Agricultural Press, Beijing (2009) (in Chinese).
22. X. Y. Zhang et al., "Long-term detection of global vegetation phenology from satellite instruments," in Phenology and Climate Change, X. Y. Zhang, Ed., pp. 297-320, InTech Publishing, Croatia (2012).