Agricultural drought assessment at disaggregated level using AWiFS/WiFS data of Indian Remote Sensing satellites

Geocarto International

Volumn 22, Issue 2, 2007, Pages 127-140

  Murthy, C S ^a   Sai, M V R Sesha ^a   Kumari, V Bhanuja ^a   Roy, P S ^a  

^a NATIONAL REMOTE SENSING AGENCY   (India)

Author keywords

Agricultural drought; Disaggregated level; Drought vulnerability; Wide field sensor

Indexed keywords

CULTIVATION; DROUGHT; RAIN; REMOTE SENSING;

CROP; DROUGHT; IMAGE RESOLUTION; NDVI; REMOTE SENSING; SATELLITE IMAGERY;

EID: 41749101990     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106040701205039     Document Type: Article

References (15)

1. Batista, T. T., Shimabukuro, Y. E. and Lawrence, W. T. (1997) The long term monitoring of vegetation cover in the Amazonian region of northern Brazil using NOAA-AVHRR data. International Journal of Remote Sensing, 18, pp. 3195-3210.
2. Benedetti, R. and Rossini, P. (1993) On the use of NDVI profiles as a tool for agricultural statistics - the case study of wheat yield estimate and forecast in Emilia Romanga. Remote Sensing of Environment, 45, pp. 311-326.
3. Doraiswamy, P. C., Sinclair, T. R., Hollinger, S., Akhmedov, B., Stern, A. and Prueger, J. (2005) Application of MODIS derived parameters for regional crop yield assessment. Remote Sensing of Environment, 97, pp. 192-202.
4. Gitelson, A. A. and Merzlyak, M. N. (1997) Remote estimation of chlorophyll content in higher plant leaves. International Journal of Remote Sensing, 18, pp. 2691-2697.
5. Goward, S. A. and Tucker, C. J. (1985) North American vegetation patterns observed with the NOAA-7 Advanced Very High Resolution Radiometer. Vegetation, 64, pp. 3-14.
6. Hayes, J. T., O'Rourke, P. A., Terjung, W. E. and Todhunter, P. E. (1982) Yield: A numerical crop yield model of irrigated and rainfed agriculture. Publications in Climatology, p. 35.
7. Justice, C. O., Townshend, J. R.G., Holben, B. N. and Tucker, C. J. (1985) Analysis of phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing, 6, pp. 1271-1318.
8. Kogan, F. N., Gitelson, A., Zakarin, E., Spivak, L. and Lebed, L. (2003) AVHRR based spectral vegetation index for quantitative assessment of vegetation state and productivity: Calibration and validation. Photogrammetric Engineering and Remote Sensing, 69, pp. 899-906.
9. Minamiguchi, N. (2005) The application of geospatial and disaster information for food insecurity and agricultural drought monitoring and assessment by the FAO GIEWS and Asia FIVIMS. Proceedings of Workshop on Reducing Food Insecurity Associated with Natural Disasters in Asia and the Pacific Bangkok, Thailand
10. Rao, P. P. Nageswara, Shobha, S. V., Ramesh, K. S. and Somashekhar, R. K. (2005) Satellite based assessment of agricultural drought in Karnataka state. Journal of Indian Society of Remote Sensing, 33, pp. 429-434.
11. Prasad, K., Anup, L. C., Singh, R. P. and Kaftos, M. (2006) Crop yield estimation model for Iowa using remote sensing and surface parameters. International Journal of Applied Earth Observation and Geoinformation, 8, pp. 26-33.
12. Thenkabail, P. S., Gamage, M. S.D.N. and Smakhtin, V. U. (2004) The use of remote sensing data for drought assessment and monitoring in Southwest Asia, International Water Management Institute (IWMI), Sri Lanka
13. Tucker, C. J. and Sellers, P. J. (1986) Satellite remote sensing of primary production. International Journal of Remote Sensing, 7, pp. 1395-1416.
14. Tucker, C. J., Townshend, J. R.G. and Goff, T. E. (1985) African land cover classification using satellite data. Science, 227, pp. 369-375.
15. Unganai, L. S. and Kogan, F. N. (1998) Drought monitoring and corn yield estimation in Southern Africa from AVHRR data. Remote Sensing of Environment, 63, pp. 219-232.