Observing long-term changes in rice phenology using NOAA-AVHRR and DMSP-SSM/I satellite sensor measurements in Punjab, India

Current Science

Volumn 91, Issue 9, 2006, Pages 1217-1221

  Singh, R P ^a   Oza, S R ^a   Pandya, M R ^a  

^a INDIAN SPACE RESEARCH ORGANISATION   (India)

Author keywords

Crop; Microwave; Phenology; Remote sensing

Indexed keywords

EID: 33751574628     PISSN: 00113891     EISSN: 00113891     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. Wang, H., Pitman, A. J., Zhao, M. and Leemans, R., The impact of land cover modification on the June meteorology of China since 1700, simulated using a regional climate model. Int. J. Climatol., 2003, 23, 511-527.
2. Zhao, M., Pitman, A. J. and Chase, T., The impact of land cover change on the atmospheric circulation. Climate Dyn., 2001, 17, 467-477.
3. Bonan, G. B., Pollard, D. and Thompson, S. L., Effect of boreal forest vegetation on global climate. Nature, 1992, 359, 716-718.
4. Shukla, J. and Mintz, Y., Influence of land surface evapotranspiration on the earth's climate. Science, 1982, 215, 1498-1500.
5. Nemani, R. R., Running, S. W., Pielke, R. A. and Chase, T. N., Global vegetation cover change from coarse resolution satellite data. J. Geophys. Res. D, 1996, 101, 7157-7162.
6. Myneni, R. B., Keeling, C. D., Tucker. C. J., Asrar, G. and Nemani, R. R., Increased plant growth in the northern high latitudes from 1981-1991. Nature, 1997, 386, 698-702.
7. Nemani, R. R. et al., Climate driven increase in global terrestrial net primary production from 1982 to 1999. Science, 2003, 300, 1560-1563.
8. Pandya, M. R., Singh, R. P. and Dadhwal, V. K., A signal of increased vegetation activity in India from 1981 to 2001 observed using satellite-derived fraction of absorbed PAR. Curr. Sci., 2004, 87, 1122-1126.
9. Ray, S. S., Sood, A., Das, G., Panigrahy, S., Sharma, P. K. and Parihar, J. S., Use of GIS remote sensing for crop diversification - A case study for Punjab State. J. Indian Soc. Remote Sensing, 2005, 33, 181-188.
10. Basist, A., Grody, N., Peterson, T. and Williams, C., Using the special sensor microwave imager to monitor land surface temperature, wetness, and snow cover. J. Appl. Meteorol., 1998, 37, 888-911.
11. Badhwar, G. D., Crop emergence date determination from spectral data. Photogramm. Eng. Remote Sensing, 1980, 46, 369-377.
12. Dubey, R. P., Ajwani, N. and Navalgund, R. R., Relation of wheat yield with parameters derived from a spectral growth profile. J. Indian Soc. Remote Sensing, 1991, 19, 45-58.
13. Potdar, M. B., Sorghum yield modeling based on crop growth parameters determined from visible and near-IR channel NOAA-AVHRR data. Int. J. Remote Sensing, 1993, 14, 895-905.
14. Shabanov, N. V., Zhou, L., Knyazikhin, Y., Myneni, R. B. and Tucker, C. J., Analysis of inter-annual changes in Northern vegetation activity observed in AVHRR data from 1981 to 1994. IEEE Trans. Geosci. Remote Sensing, 2002, 40, 115-130.
15. Myneni, R. B., Los, S. O. and Tucker, C. J., Satellite based identification of linked vegetation index and sea surface temperature anomaly areas from 1982-1990 for Africa, Australia and South America. Geophys. Res. Lett., 1996, 23, 729-732.
16. Myneni, R. B., Tucker, C. J., Asrar, G. and Keeling, C. D., Inter annual variations in satellite sensed vegetation index data from 1981 to 1991. J. Geophys. Res., 1998, 103, 6145-6160.
17. 2 variations and satellite driven vegetation index. Nature, 1986, 319, 195-199.
18. Pettorelli, N., Vik, J. O., Mysterud, A., Gailard, J. M., Tucker, C. J. and Stenseth, N. C., Using the sattelite-derived NDVI to assess ecological responses to environmental change. Trends Ecol. Evol., 2005, 20, 503-510.
19. Smith, P. M., Kalluri, S. N. V., Prince, S. D. and DeFries, R. S., The NOAA/NASA Pathfinder AVHRR 8 km land data set. Photogramm. Eng. Remote Sensing, 1997, 63, 12-31.
20. Gordon, H. R., Brown, J. W. and Evans, R. H., Exact Rayleigh scattering calculations for use with the Nimbus-7 coastal zone color scanner. Appl. Opt., 1988, 27, 2111-2122.
21. Rao, C. R. and Chen, J., Post launch calibration of the visible and near-infrared channels of the Advanced Very High Resolution Radiometer on NOAA-14 spacecraft. Int. J. Remote Sensing, 1996, 17, 2743-2847.
22. Singh, R. P. and Dadhwal, V. K., Comparison of space-based Microwave Polarization Difference Index (MPDI) and Normalized Difference Vegetation Index (NDVI) for crop growth monitoring. Indian J. Radio Space Phys., 2003, 32, 193-197.
23. Basist, A., Garrett, D., Grody, N. C., Ferraro, R. R. and Mitchell, K., A comparison between snow cover products derived from visible and microwave satellite observations. J. Appl. Meteorol., 1996, 35, 163-177.
24. Wang, R. and Schmugge, T. J., An empirical model for the complex dielectric permittivity of soil as a function of water content. IEEE Trans. Geosci. Remote Sensing, 1980, 18, 288-295.
25. Singh, R. P., Oza, S. R., Chaudhari, K. N. and Dadhwal, V. K., Spatial and temporal patterns of surface soil moisture over India estimated using surface wetness index from microwave radiometer (SSM/I). Int. J. Remote Sensing, 2005, 26, 1269-1276.
26. Lakshmi, V., Wood, E. F. and Choudhury, B. J., Evaluation of special sensor microwave/imager data for regional soil moisture estimation over the red river basin. J. Appl. Meteorol., 1997, 36, 1309-1328.
27. Owe, M., Jeu, R. D. and Walker, J., A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Trans. Geosci. Remote Sensing, 2001, 39, 1643-1653.