Monitoring winter wheat growth in North China by combining a crop model and remote sensing data

International Journal of Applied Earth Observation and Geoinformation

Volumn 10, Issue 4, 2008, Pages 426-437

  Yuping, Ma ^a,b   Shili, Wang ^a   Li, Zhang ^a   Yingyu, Hou ^c   Liwei, Zhuang ^c   Yanbo, He ^c   Futang, Wang ^a  

^a STATE KEY LABORATORY OF SEVERE WEATHER   (China)

^b NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^c NATIONAL SATELLITE METEOROLOGICAL CENTER   (China)

Author keywords

Crop growth monitoring; Crop model; North China; Remote sensing; SAVI; Winter wheat

Indexed keywords

COMPUTER SIMULATION; DATA PROCESSING; GROWTH; LEAF AREA INDEX; OPTIMIZATION; REMOTE SENSING; SOFTWARE; SPATIAL DISTRIBUTION; VEGETATION INDEX; WHEAT; WINTER; YIELD RESPONSE;

ASIA; CHINA; EURASIA; FAR EAST;

TRITICUM AESTIVUM;

EID: 54849406565     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2007.09.002     Document Type: Article

References (22)

1. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration: guidelines for computing crop water requirements. Irrigation and Drainage Paper 56, Food and Agriculture Organization of the United Nations, Rome, p. 300.
2. Allen W.A., Gausman H.W., and Richardson A.J. Interaction of isotropic light with a compact plant leaf. Opt. Soc. Am. 59 (1969) 1376-1379
3. Bouman B.A.M. Linking physical remote sensing models with crop growth simulation models, applied for sugar beet. Int. J. Remote Sens. 13 (1992) 2565-2581
4. Clevers J.G.P.W., and van Leeuwen H.J.C. Combined use of optical and microwave remote sensing data for crop growth monitoring. Remote Sens. Environ. 56 (1996) 42-51
5. Delecolle R., Maas S.J., Guerif M., and Baret F. Remote sensing and crop production models: present trends. ISPRS J. Photogrammetry Remote Sens. 47 (1992) 145-161
6. Van Diepen C.A., Wolf J., Van Keulen H., and Rappoldt C. WOFOST: a simulation model of crop production. Soil Use Manage. 5 (1989) 16-24
7. Doraiswamy P.C., Hatfield J.L., Jackson T.J., Akhmedov B., Prueger J., and Stern A. Crop condition and yield simulations using Landsat and MODIS. Remote Sens. Environ. 92 (2004) 548-559
8. Fischer A., Kergoat L., and Dedieu G. Coupling satellite data with vegetation functional models: review of different approaches and perspectives suggested by the assimilation strategy. Remote Sens. Rev. 15 (1997) 283-303
9. Guerif M., and Duke C. Calibration of the SUCROS emergence and early growth module for sugarbeet using optical remote sensing data assimilation. Eur. J. Agron. 9 (1998) 127-136
10. Guerif M., and Duke C.L. Adjustment procedure of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation. Agric. Ecosyst. Environ. 81 (2000) 57-69
11. Huete A.R. A soil-adjusted vegetation index (SAVI). Remote Sens. Rev. 25 (1988) 295-309
12. Jacquemoud S., and Baret F. PROSPECT: a model of leaf optical properties spectra. Remote Sens. Environ. 34 (1990) 75-91
13. Launay M., and Guerif M. Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications. Agric. Ecosyst. Environ. 111 (2005) 321-339
14. Maas S.J. Use of remotely-sensed information in agricultural crop growth models. Ecol. Model. 41 (1988) 247-268
15. Maas S.J. Using satellite data to improve model estimates of crop yield. Agron. J. 80 (1988) 655-662
16. Moulin S., Launay M., and Guerif M. The crop growth monitoring at a regional scale based on the combination of remote sensing and process-based models. International Workshop on Crop Monitoring and Prediction at Regional Scales. Tsukuba, Japan (2001) 187-195
17. Moulin S., Bondeau A., and Delecolle R. Combining agricultural crop models and satellite observations: from field to regional scales. Int. J. Remote Sens. 19 (1998) 1021-1036
18. Supit I., Hoojier A.A., and van Diepen C.A. System Description of the WOFOST 6.0 Crop Simulation Model Implemented in CGMS (1994), The Winand Starting Centre for Intergrated Land. Soil and Water Research (SC-DLO), Wageningen, The Netherlands p. 144
19. Stol W., Rouse D.L., van Kraalingen D.W.G., and Klepper O. FSEOPT A FORTRAN Program for Calibration and Uncertainty Analysis of Simulation Models (1992), A joint publication of Centre for Agrobiological Research (CABO-DLO) and Department of Theoretical Production Ecology, Agricultural University, Wageningen, The Netherlands p. 24
20. Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sens. Environ. 16 (1984) 125-141
21. Vermote E., and Roger J.C. Radiative transfer modeling for calibration and atmospheric correction. In: Souza G.D., Belward A.S., and Malingreau J. (Eds). Advances in the Use of NOAA AVHRR for Land Applications (1996), Kluwer Academic Publishers, Dordrecht, The Netherlands 49-72
22. Wiegand C.L., Richardson A.J., Jackson R.D., Pinter Jr. Pj., Aase J.K., Smika D.E., Lautenschlager L.F., and McMurtrey J.E. Development of agrometeorological crop model inputs from remotely sensed information. IEEE Trans. Geosci. Remote Sens. GE 24 1 (1986) 90-97