Early prediction of crop production using drought indices at different time‐scales and remote sensing data: application in the Ebro Valley (north‐east Spain)

References

• Austin , R. B. , Cantero‐Martínez , C. , Arrúe , J. L. , Playán , E. and Cano‐Marcellán , P. 1998 . Yield–rainfall relationships in cereal cropping systems in the Ebro river valley of Spain. . European Journal of Agronomy , 8 : pp. 239 – 248 .
   Web of Science ®Google Scholar
• Baez‐González , A. D. , Kiniry , J. R. , Maas , S. J. , Tiscareno , M. , Macias , J. , Mendoza , J. L. , Richardson , C. W. , Salinas , J. and Manjarrez , J. R. 2005 . Large‐area maize yield forecasting using leaf area index based yield model. . Agronomy Journal , 97 : pp. 418 – 425 .
   Web of Science ®Google Scholar
• Basnyat , P. , McConkey , B. , Lafond , G. R. , Moulin , A. and Pelcat , Y. 2004 . Optimal time for remote sensing to relate to crop grain yield on the Canadian prairies. . Canadian Journal of Plant Science , 84 : pp. 97 – 103 .
   Web of Science ®Google Scholar
• CLC . 1990 . Proyecto Ocupación del suelo del Programa CORINE: Definiciones de la clasificación Española , Instituto Geográfico Nacional . Comisión Técnica del Proyecto Ocupación del Suelo de España
   Google Scholar
• Curran , P. J. 1987 . Remote sensing in agriculture: an introductory review. . Journal of Geography , 86 : pp. 147 – 156 .
   Web of Science ®Google Scholar
• Hair , J. F. , Anderson , R. E. , Tatham , R. L. and Black , W. C. 1998 . Multivariate data analysis , New York : Prentice Hall International, Inc. .
   Google Scholar
• Hayes , M. , Wilhite , D. A. , Svoboda , M. and Vanyarkho , O. 1999 . Monitoring the 1996 drought using the Standardized Precipitation Index. . Bulletin of the American Meteorological Society , 80 : pp. 429 – 438 .
   Web of Science ®Google Scholar
• Holben , B. 1986 . Characteristics of maximum value composite images from temporal AVHRR data. . International Journal of Remote Sensing , 6 : pp. 1271 – 1328 .
   Google Scholar
• Illera , P. , Delgado , J. A. and Calle , A. 1996 . A navigation algorithm for satellite images. . International Journal of Remote Sensing , 17 : pp. 577 – 588 .
   Web of Science ®Google Scholar
• Illera , P. , El‐Kaouri , A. and Vegas , A. 1997 . “ Influencia de las condiciones atmosféricas sobre el NDVI‐AVHRR. ” . In Teledetección. Usos y aplicaciones, , pp. 415 – 422 . Valladolid, , Spain : Universidad de Valladolid . In
   Google Scholar
• Kalubarme , M. H. , Potdar , M. B. , Manjunath , K. R. , Mahey , R. K. and Siddhu , S. S. 2003 . Growth profile based crop yield models: a case of large area wheat yield modelling and its extendibility using atmospheric corrected NOAA AVHRR data. . International Journal of Remote Sensing , 24 : pp. 2037 – 2054 .
   Web of Science ®Google Scholar
• Karl , T. R. and Koscielny , A. J. 1982 . Drought in the United States: 1895–1981. . Journal of Climatology , 2 : pp. 313 – 329 .
   Web of Science ®Google Scholar
• Lloyd‐Hughes , B. and Saunders , M. A. 2002 . A drought climatology for Europe . International Journal of Climatology , 22 : pp. 1571 – 1592 .
   Web of Science ®Google Scholar
• McKee , T. B. N. , Doesken , J. and Kleist , J. The relationship of drought frecuency and duration to time scales. Eighth Conference on Applied Climatology . 17–22 January , Anaheim, CA. pp. pp. 179 – 184 . California : American Meteorological Society . In
   Google Scholar
• McKee , T. B. N. , Doesken , J. and Kleist , J. Drought monitoring with multiple time scales. Ninth Conference on Applied Climatology . 15–20 January , Dallas, TX. pp. pp. 233 – 236 . Texas : American Meteorological Society . In
   Google Scholar
• Mkhabela , M. S. , Mkhabela , M. S. and Mashinini , N. N. 2005 . Early maize yield forecasting in the four agro‐ecological regions of Swaziland using NDVI data derived from NOAAs–AVHRR. . Agricultural and Forest Meteorology , 129 : pp. 1 – 9 .
   Web of Science ®Google Scholar
• Moulin , S. , Bondeau , A. and Delecolle , R. 1998 . Combining agricultural crop models and satellite observations: from field to regional scales. . International Journal of Remote Sensing , 19 : pp. 1021 – 1036 .
   Web of Science ®Google Scholar
• Quarmby , N. A. , Milnes , M. , Hindle , T. L. and Silleos , N. 1993 . The use of multitemporal NDVI measurements from AVHRR data for crop yield estimation and prediction. . International Journal of Remote Sensing , 14 : pp. 199 – 210 .
   Web of Science ®Google Scholar
• Quiring , S. M. and Papakryiakou , T. N. 2003 . An evaluation of agricultural drought indices for the Canadian prairies. . Agricultural and Forest Meteorology , 118 : pp. 49 – 62 .
   Web of Science ®Google Scholar
• Rasmussen , M. S. 1997 . Operational yield forecast using AVHRR NDVI data: reduction of environmental and inter‐annual variability. . International Journal of Remote Sensing , 18 : pp. 1059 – 1077 .
   Web of Science ®Google Scholar
• Ray , S. S. and Pokharna , S. S. 1999 . Cotton yield estimation using agrometeorological model and satellite‐derived spectral profile. . International Journal of Remote Sensing , 20 : pp. 2693 – 2702 .
   Web of Science ®Google Scholar
• Rouault , M. and Richard , Y. 2003 . Intensity and spatial extension of droughts in South Africa at different time scales . Water SA , 29 : pp. 489 – 500 .
   Web of Science ®Google Scholar
• Royo , C. , Aparicio , N. , Villegas , D. , Casadesus , J. , Monneveux , P. and Araus , J. L. 2003 . Usefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions. . International Journal of Remote Sensing , 24 : pp. 4403 – 4419 .
   Web of Science ®Google Scholar
• Seiler , R. A. , Kogan , F. and Wei , G. 2000 . Monitoring weather impact and crop yield from NOAA–AVHRR data in Argentina. . Advances in Space Research , 26 : pp. 1177 – 1185 .
   Web of Science ®Google Scholar
• Thenkabail , P. S. 2003 . Biophysical and yield information for precision farming from near‐real‐time and historical Landsat TM images. . International Journal of Remote Sensing , 24 : pp. 2879 – 2904 .
   Web of Science ®Google Scholar
• Tsakiris , G. and Vangelis , H. 2004 . Towards a drought watch system based on spatial SPI. . Water Resources Management , 18 : pp. 1 – 12 .
   Web of Science ®Google Scholar
• Tucker , C. J. and Sellers , J. 1986 . Satellite Remote Sensing of primary production. . International Journal of Remote Sensing , 7 : pp. 1395 – 1416 .
   Web of Science ®Google Scholar
• Vicente Serrano , S. M. 2005 . Differences in spatial patterns of drought on different time scales: an analysis of the Iberian Peninsula. . Water Resources Management , in press
   Web of Science ®Google Scholar
• Vicente Serrano , S. M. and Beguería , S. 2003 . Estimating extreme dry‐spell risk in the middle Ebro valley (Northeastern Spain): A comparative analysis of partial duration series with a General Pareto distribution and Annual maxima series with a Gumbel distribution. . International Journal of Climatology , 23 : pp. 1103 – 1118 .
   Web of Science ®Google Scholar
• Vicente Serrano , S. M. , Pons , X. and Cuadrat , J. M. 2004a . Using Landsat and NOAA satellites on soil moisture mapping and comparison with meteorological data. Application in the central Ebro river valley (NE of Spain). . International Journal of Remote Sensing , 25 : pp. 4325 – 4350 .
   Web of Science ®Google Scholar
• Vicente Serrano , S. M. , González‐Hidalgo , J. C. , de Luis , M. and Raventós , J. 2004b . Drought patterns in the Mediterranean area: the Valencia region (eastern Spain). . Climate Research , 26 : pp. 5 – 15 .
   Web of Science ®Google Scholar
• Wannebo , A. and Rosenzweig , C. 2003 . Remote sensing of US cornbelt areas sensitive to the El Niño‐Southern Oscillation. . International Journal of Remote Sensing , 24 : pp. 2055 – 2067 .
   Web of Science ®Google Scholar
• Willmott , C. J. 1982 . Some comments on the evaluation of model performance. . Bulletin of the American Meteorological Society , 63 : pp. 1309 – 1313 .
   Web of Science ®Google Scholar
• Wu , H. , Hayes , M. J. , Wilhite , D. A. and Svoboda , M. D. 2005 . The effect of the length of record on the standardized precipitation index calculation. . International Journal of Climatology , 25 : pp. 505 – 520 .
   Web of Science ®Google Scholar
• Yamoah , C. F. , Walters , D. T. , Shapiro , C. A. , Francis , C. A. and Hayes , M. J. 2000 . Standardized Precipitation Index and nitrogen rate effects on crop yields and risk distribution in maize. . Agriculture, Ecosystems & Environment , 80 : pp. 113 – 120 .
   Web of Science ®Google Scholar