Optimizing soybean harvest date using HJ-1 satellite imagery

Precision Agriculture

Volumn 16, Issue 2, 2015, Pages 164-179

  Meng, Jihua ^a   Xu, Jin ^a   You, Xingzhi ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Harvest; Mature date; Remote sensing; Satellite; Soybean

Indexed keywords

GLYCINE MAX;

EID: 84928658144     PISSN: 13852256     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11119-014-9368-3     Document Type: Article

References (37)

1. Adam, C. A., Fjerstad, M. C., & Rinne, R. W. (1983). Characteristics of soybean seed maturation: necessity for slow dehydration. Crop Science,23(2), 265–267.
2. Boogard, H.L., van Diepen, C.A., Rotter, R.P., Cabrera, J.M.C.A., van Laar, H.H. (1998). User’s guide for the WOFOST 7.1 crop growth simulation model and WOFOST Control Center 1.5. Technical Document 52. DLO Winand Staring Centre, Wageningen, The Netherlands.
3. Brisson, N., Mary, B., Ripoche, D., Jeuffroy, M.H., Ruget, F., Nicoullaud, B., Gate, P., Devienne-Barret, F., Antonioletti, R., Durr, C., Richard, G., Beaudoin, N., Recous, S., Tayot, X., Plenet, D., Cellier, P., Machet, J.M., Meynard, J.M., & Dele´colle, R. (1998). STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn. Agronomie, 18 (5–6), 311–346.
4. Campos, J. C., Sillero, N., & Brito, J. C. (2012). Normalized difference water indexes have dissimilar performances in detecting seasonal and permanent water in the Sahara-Sahel transition zone. Journal of Hydrology,464, 438–446.
5. Cox, S. (2002). Information technology: the global key to precision agriculture and sustainability. Computers and Electronics in Agriculture,36(2–3), 93–111.
6. Cregan, P. B., & Hartwig, E. E. (1984). Characterization of flowering response to photoperiod in diverse soybean genotypes. Crop Science,24(4), 659–662.
7. CropWatch bulletin (Vol 13, No. 7). Institute of Remote Sensing and Digital Earth (Chinese Academy of Sciences) http://www.cropwatch.com.cn/htm/en/bulletin23.shtml. Accessed 9 Jult 2014.
8. Gao, B. (1996). NDWI—a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment,58(3), 257–266.
9. Gitelson, A. A., Kaufman, Y. J., & Merzlyak, M. N. (1996). Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment,58(3), 289–298.
10. Gitelson, A. A., & Merzlyak, M. N. (1998). Remote sensing of chlorophyll concentration in higher plant leaves. Advances in Space Research,22(5), 689–692.
11. Gitelson, A. A., Stark, R., Grifts, U., Rundquist, D., Kaufman, Y., & Derry, D. (2002). Vegetation and soil lines in visible spectral space: a concept and technique for remote estimation of vegetation fraction. International Journal of Remote Sensing,23(13), 2537–2562.
12. Hill, J. E., & Briedenbach, R. W. (1974). Proteins of soybean seeds: II. Accumulation of the major protein components during seed development and maturation. Plant Physiology,53(5), 747–751.
13. Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment,25(3), 295–309.
14. Huete, A., Justice, C., & Liu, H. (1994). Development of vegetation and soil indices for MODIS-EOS. Remote Sensing of Environment,49(3), 224–234.
15. Huete, A. R., Liu, H. Q., Batchily, K., & van Leeuwen, W. (1997). A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment,59(3), 440–451.
16. Islami, T., and Yogi, S. (2012). The effect of planting date and harvesting time on the yield and seed quality of rainy season soybean (Glycine max (L.) Merr.). Journal of Agriculture and Food Technology, 2(4), 73–78.
17. Ji, L., Zhang, L., & Wylie, B. (2009). Analysis of dynamic thresholds for the normalized difference water index. Photogrammetric Engineering & Remote Sensing,75(11), 1307–1317.
18. Jones, J.W., White, J., Boote, K., Hoogenboom, G., & Porter, C.H. (2000). Phenology Module in DSSAT v 4.0. Documentation and Source Code Listing. Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL., USA.
19. Lu, M., & Wang, L. (1999). State of the soybean industry in the People’s Republic of China. In H. E. Kauffmann (Ed.), Proceedings of the World Soybean Research Conference VI, Chicago, IL, 4–7 August 1999 (pp. 1–5). Champaign, IL, USA: Superior Printing.
20. McFeeters, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing,17(7), 1425–1432.
21. Meng, J., Du, X., & Wu, B. (2013). Generation of high spatial and temporal resolution NDVI and its application in crop biomass estimation. International Journal of Digital Earth,6(3), 203–218.
22. Meng, J., Wu, B., Chen, X., Du, X., Niu, L., & Zhang, F. (2011). Validation of HJ-1 B charge-coupled device vegetation index products with spectral reflectance of Hyperion. International Journal of Remote Sensing,32(24), 9051–9070.
23. Nangju, D. (1977). Effect of date of harvest on seed quality and viability of soya beans. Journal of Agriculture Science,89(1), 107–112.
24. Philbrook, B. D., & Oplinger, E. S. (1989). Soybean field losses as influenced by harvest delays. Agronomy Journal,81(2), 251–258.
25. Pritchard, J. R. (1983). Oilseed quality requirements for processing. Journal of American Oil Chemist’s Society,60(2), 322–332.
26. Rouse, J.W., Haas, R.H., Shell, J.A., Deering, D. W. (1974) Monitoring vegetation systems in the Great Plains with ERTS. Third earth resources technology satellite-1 symposium, 1, pp. 309–317. (Washington, D. C.: NASA Scientific and Technical Information Office).
27. Rubel, A., Rinne, R. W., & Canvin, D. T. (1972). Protein, oil and fatty acid in developing soybean seeds. Crop Science,12(6), 739–741.
28. Saldivar, X., Wang, Y., Chen, P., & Hou, A. (2011). Changes in chemical composition during soybean seed development. Food Chemistry,124(4), 1369–1375.
29. Setiyono, T. D., Weiss, A., Specht, J., Bastidas, A. M., Cassman, K. G., & Dobermann, A. (2007). Understanding and modeling the effect of temperature and daylength on soybean phenology under high-yield conditions. Field Crops Research,100(2–3), 257–271.
30. Summerfield, R. J., & Wilcox, J. R. (1978). Effects of photoperiod and air temperature on growth and yield of economic legumes. In R. J. Summerfield & A. H. Bunting (Eds.), Advances in Legume Sciences (pp. 17–36). Kew, England: Royal Botanic Gardens.
31. Townshend, J. R. G., & Justice, C. O. (1986). Analysis of the dynamics of African vegetation using the normalized difference vegetation index. International Journal of Remote Sensing,7(11), 1435–1446.
32. Vincini, M., Frazzi, E., & Alessio, P. D. (2008). A broad-band leaf chlorophyll vegetation index at the canopy scale. Precision Agriculture,9(5), 303–319.
33. Wang, Q. (2012). Technical system design and construction of China’s HJ-1 satellites. International Journal of Digital Earth,5(3), 202–216.
34. Wang, Z., Guo, T., Wu, X., Zheng, W., Liu, Z., & Zhang, M. (2009). Study on the influence of harvest time on the oil and yield of different mature period high-oil soybean. Chinese Agricultural Science Bulletin,25(4), 74–77.
35. Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing,27(14), 3025–3033.
36. Zhang, N., Wang, M., & Wang, N. (2002). Precision agriculture—a worldwide overview. Computers and Electronics in Agriculture,36(2–3), 113–132.
37. Zhang, J., Zhang, L., Zhang, M., & Watson, C. (2009). Prediction of soybean growth and development using artificial neural network and statistical models. Acta Agronomica Sinica,35(2), 341–347.