Rice yield estimation by integrating remote sensing with rice growth simulation model

Pedosphere

Volumn 14, Issue 4, 2004, Pages 519-526

  Abou Ismail, O ^a,b   Huang, Jing Feng ^a   Wang, Ren Chao ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b General Organization for Remote Sensing   (Syrian Arab Republic)

Author keywords

Remote sensing; Rice growth simulation model; Rice yield estimation

Indexed keywords

CROP YIELD; GROWTH RATE; MODELING; REMOTE SENSING; SIMULATION;

ASIA; CHINA; EASTERN HEMISPHERE; EURASIA; FAR EAST; SHAOXING; WORLD; ZHEJIANG;

EID: 7444241561     PISSN: 10020160     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Abou-Ismail, O. 2000. Development of Rice Yield Estimation System Using Remote Sensing and Simulation Model - Case Study: Zhejiang Province, China. Ph. D. Dissertation, Zhejiang University. 106pp.
2. Barnett, T. L. and Thompson, D. R. 1982. The use of large-area spectral data in wheat yield estimation. Remote Sens. Environ. 12: 509-518.
3. Bouman, B. A. M. 1991. Linking X-band radar backscattering and optical reflectance with crop growth models. Ph. D. Dissertation, Wageningen Agricultural University, Wageningen, Netherlands. 167pp.
4. Delecolle, R., Maas, S. J., Guerif, M. and Baret, F. 1992. Remote sensing and crop production models present trends. ISPRS J. Photogramm. Remote Sens. 47: 145-161.
5. Kropff, M. J., van Laar, H. H. and Matthews, R. B. (eds). 1994. ORYZA1: an Ecophysiological Model for Irrigated Rice Production. SARP Research Proceedings. IRRI, Los Baños, Philippines. 110pp.
6. Malingreau, J. P. 1986. Global vegetation dynamics: Satellite observations over Asia. Int. J. Remote. Sensing. 7(9): 1 121-1 146.
7. Maselli, F., Conese, L., Petkov, L. and Gilabert, M. A. 1993. Environmental monitoring and crop forecasting in the Sahel through the use of NOAA NDVI data. A case study: Niger 1986-89. Int. J. Remote. Sensing. 14(8): 3 471-3 487.
8. Matthews, R. B., Kropff, M. J., Thiyagarajan, T. M. and Kareem, A. A. (eds). 1994, The Development, Testing and Application of Crop Models Simulating the Potential Production of Rice. IRRI, Los Baños, Philippines. 88pp.
9. Murthy, C. S., Thruvengadachari, S., Raju, P. V. and Jonna, S. 1996. Improved ground sampling and crop yield estimation using satellite data. Int. J. Remote Sensing. 17(5): 945-956.
10. Penning de Vries, F. W. T., Jansen, D. M., ten Berge, H. F. M. and Bakema, A. 1989. Simulation of Ecophysiological Processes of Growth in Several Annual Crops. Simulation Monographs. Centre for Agricultural Publishing and Documentation (Pudoc), Wageningen, Netherlands. 271pp.
11. Price, J. 1992. Estimating vegetation amount from visible and near-infrared reflectances. Remote Sens. Environ. 41: 29-34.
12. Sellers, P. J., Mintz, Y., Sud, Y. C. and Dalcher, A. 1986. A simple biosphere model (SiB) for use with general circulation models. J. Atmos. Sci. 43(6): 505-531.
13. Spitters, C. J. T., van Keulen, H. and van Kraalingen, D. W. G. 1989. A simple and universal crop growth simulator: SUCROS87. In Rabbing, R., Ward, S. A. and van Laar, H. H. (eds.) Simulation and Systems Management in Crop Protection. Simulation Monographs. Centre for Agricultural Publishing and Documentation (Pudoc), Wageningen, Netherlands. pp. 147-181.
14. Xiong, Z. M., Cai, H. F., Min, S. K. and Li, B. C. 1992. Rice in China (in Chinese with English summary). China Agricultural Science and Technology Publishing House, Beijing. 113pp.
15. Yaghi, A. 2000. Integration of GIS and TM data for extraction of early rice planted area in south of China - A case study of Longyou County. Ph. D. Dissertation, Zhejiang University. 129pp.
16. Yin, Z. S. and Williams, T. H. L. 1997. Obtaining spectral and temporal vegetation data from Landsat MSS and AVHRR/NOAA satellite images for a hydrologic model. Photogramm. Eng. Remote Sens. 63(1): 69-77.