Potential monitoring of crop production using a satellite-based Climate-Variability Impact Index

Agricultural and Forest Meteorology

Volumn 132, Issue 3-4, 2005, Pages 344-358

  Zhang, Ping ^a   Anderson, Bruce ^a   Tan, Bin ^a   Huang, Dong ^a   Myneni, Ranga ^a  

^a BOSTON UNIVERSITY   (United States)

Author keywords

Climate impacts; Crop yield; Drought index; Leaf area index; Remote sensing

Indexed keywords

CROP PRODUCTION; CROP YIELD; DROUGHT; LEAF AREA INDEX; MODIS; REMOTE SENSING;

EID: 27644501816     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2005.09.004     Document Type: Article

References (42)

1. G. Asrar, R.B. Myneni, and B.J. Choudhury Spatial heterogeneity in vegetation canopies and remote sensing of absorbed photosynthetically active radiation: a modeling study Remote Sens. Environ. 41 1992 85 103
2. C. Atzberger Estimates of winter wheat production through remote sensing and crop growth modelling. A case study on the Camargue region Akademische Abhandlungen zu den Geowissenschaften 1997 Verlag für Wissenschaft und Forschung Berlin, Germany p. 267, ISBN 3-89700-013-X
3. T.L. Barnett, and D.R. Thompson Large-area relation of Landsat MSS and NOAA-6 AVHRR spectral data to wheat yields Remote Sens. Environ. 13 1983 277 290
4. J.E. Colwell, D.P. Rice, and R.F. Nalepka Wheat yield forecast using Landsat data Proceedings of the 11th International Symposium on Remote Sensing of Environment Ann Arbor, MI 1977 1245 1254
5. C. Domenikiotis, M. Spiliotopoulos, E. Tsiros, and N.R. Dalezios Early cotton yield assessment by the use of the NOAA/AVHRR derived Vegetation Condition Index (VCI) in Greece Int. J. Remote Sens. 25 14 2004 2807 2819
6. M.A. Friedl, D.K. McIver, J.C.F. Hodges, X.Y. Zhang, D. Muchoney, A.H. Strahler, C.E. Woodcock, S. Gopal, A. Schneider, and A. Cooper Global land cover mapping from MODIS: algorithms and early results Remote Sens. Environ. 83 2002 287 302
7. S.N. Goward, B. Markham, D.G. Dye, W. Dulaney, and A.J. Yang Normalized difference vegetation index measurements from the Advanced Very High Resolution Radiometer Remote Sens. Environ. 35 1991 257 277
8. G.G. Gutman Vegetation indices from AVHRR data: an update and future prospects Remote Sens. Environ. 35 1991 121 136
9. J.L. Hatfield Remote sensing estimators of potential and actual crop yield Remote Sens. Environ. 13 1983 301 311
10. K.P. Hochheim, and D.G. Barber Spring wheat yield estimation for western Canada using NOAA NDVI data Can. J. Remote Sens. 24 1 1998 17 27
11. B.N. Holben, C.J. Tucker, and C.-J. Fan Spectral assessment of soybean leaf area and leaf biomass Photogram. Eng. Remote Sens. 46 1980 651 656
12. G.E. Johnson, V.R. Achutuni, S. Thiruvengadachari, and F. Kogan The role of NOAA satellite data in drought early warning and monitoring: selected case studies D.A. Wilhite Drought Assessment, Management, and Planning: Theory and Case Studies 1993 Kluwer Academic 31 49
13. D.H. Justice, V. Salomonson, J. Privette, G. Riggs, A. Strahler, R. Lucht, R. Myneni, Y. Knjazihhin, S. Running, R. Nemani, E. Vermote, J. Townshend, R. Defries, D. Roy, Z. Wan, A. Huete, W. van Leeuwen, R. Wolfe, L. Giglio, J. Muller, P. Lewis, and M. Barnsley The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research IEEE Trans. Geosci. Remote Sens. 36 1998 1228 1249
14. Karrenbrock, J.D., May/June 1989. The 1988 Drought: Its Impact on District Agriculture. The Federal Reserve Bank of St. Louis Review, pp. 3-13.
15. D.G. Kleinbaum, L.L. Kupper, K.E. Muller, and A. Nizam Applied Regression Analysis and Other Multivariable Methods 1998 Duxbury Press Belmont, Calif pp. 386-422
16. F.N. Kogan Remote sensing of weather impacts on vegetation Int. J. Remote Sens. 6 1990 1417 1434
17. F.N. Kogan Droughts of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data Bull. Am. Meteorol. Soc. 76 1995 655 668
18. F.N. Kogan Global drought watch from space Bull. Am. Meteorol. Soc. 78 1997 621 636
19. D. LeComte, and K. Cutlip The weather of 2002 Weatherwise 56 2 2003 14 22
20. D.B. Lobell, G.P. Asner, J.I. Ortiz-Monasterio, and T.L. Benning Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties Agric. Ecosyst. Environ. 94 2003 205 220
21. S.O. Los Estimation of the ratio of sensor degradation between NOAA-AVHRR channels 1 and 2 from monthly NDVI composites IEEE Trans. Geosci. Remote Sens. 36 1998 206 213
22. J.L. Monteith Climate and the efficiency of crop production in Britain Philos. Trans. R. Soc. Lond. Ser. B 281 1977 277 294
23. S. Moulin, A. Biondeau, and R. Delecolle Combining agricultural crop models and satellite observations: from field to regional scales Int. J. Remote Sens. 19 6 1998 1021 1036
24. R.B. Myneni, R.R. Nemani, and S.W. Running Estimation of global leaf area index and absorbed par using radiative transfer models IEEE Trans. Geosci. Remote Sens. 35 1997 1380 1393
25. R.R. Nemani, C.D. Keeling, H. Hashimoto, W.M. Jolly, S.C. Piper, C.J. Tucker, R.B. Myneni, and S.W. Running Climate driven increases in global net primary production from 1982 to 1999 Science 300 2003 1560 1563
26. N.K. Patel, T.P. Singh, and B. Sahai Spectral response of rice crop and its relation to yield and yield attributes Int. J. Remote Sens. 6 1985 657 664
27. P.J. Pinter, R.D. Jackson, S.B. Idso, and R.J. Reginato Multidate spectral reflectance as predictors of yield in water stressed wheat and barley Int. J. Remote Sens. 2 1 1981 43 48
28. J.C. Price Estimating leaf area index from satellite data IEEE Trans. Geosci. Remote Sens. 31 1993 727 734
29. M.S. Rasmussen Assessment of millet yields and production in northern Burkina Faso using integrated NDVI from AVHRR Int. J. Remote Sens. 13 18 1992 3431 3442
30. B.F.T. Rudorff, and G.T. Batista Yield estimation of sugarcane based on agrometeorological-spectral models Remote Sens. Environ. 33 1990 183 192
31. S.W. Running, C.O. Justice, V. Salomonson, D. Hall, J. Barker, Y.J. Kaufmann, A.H. Strahler, A.R. Huete, J.-P. Muller, V. Vanderbilt, Z.M. Wan, P. Teillet, and D. Carneggie Terrestrial remote sensing science and algorithms planned for EOS/MODIS Int. J. Remote Sens. 15 17 1994 3587 3620
32. P.J. Sellers, S.O. Los, C.J. Tucker, C.O. Justice, D.A. Dazlich, G.J. Collatz, and D.A. Randall A global 1° by 1° NDVI data set for climate studies. Part 2: the generation of global fields of terrestrial biophysical parameters from the NDVI Int. J. Remote Sens. 15 1994 3519 3545
33. M. Sharman, H. Boissezon, G. de Gonzales, and B. Pous Rapid estimates of acreages and potential yield at a European scale Proceedings of the 43rd Congress of the International Astronautical Federation Washington, DC, August 28-September 5 1992
34. C.T. Tucker, B.N. Holben, J.H. Elgin, and J.E. McMurtery Relationship of spectral data to grain yield variation Photogram. Eng. Remote Sens. 46 5 1980 657 666
35. Tucker, C.J., Pinzon, J.E., Brown, M.E., Slayback, D., Pak, E.W., Mahoney, R., Vermote, E., El Saleous, N. An extended AVHRR 8-km NDVI data set compatible with MODIS and SPOT vegetation NDVI data. Int. J. Remote Sens., in press.
36. E.F. Vermote, and Y.J. Kaufman Absolute calibration of AVHRR visible and near-infrared channels using ocean and cloud views Int. J. Remote Sens. 16 1995 2317 2340
37. E. Vermote, N. El Saleous, Y.J. Kaufman, and E. Dutton Data pre-processing: stratospheric aerosol perturbing effect on the remote sensing of vegetation: correction method for the composite NDVI after the Pinatubo Eruption Remote Sens. Rev. 15 1997 7 21
38. M.A. White, P.E. Thornton, and S.W. Running A continental phenology model for monitoring vegetation responses to interannual climatic variability Global Biogeochem. Cycles 11 1997 217 234
39. D.S. Wilks Statistical Methods in Atmospheric Sciences, International Geophysics Series, vol. 59 1995 Academic Press pp. 248-250
40. Yang, W., Huang, D., Tan, B., Stroeve, J.C., Shabanov, N.V., Knyazikhin, Y., Nemani, R.R., Myneni, R., 2005. Analysis of leaf area index and fraction of PAR absorbed by vegetation products from terra MODIS sensor: 2000-2005. IEEE Trans. Geosci. Remote Sens. (in second review).
41. P. Zhang, B. Anderson, M. Barlow, B. Tan, and R. Myneni Climate related vegetation characteristics derived from MODIS LAI and NDVI J. Geophys. Res. 109 2004 D20105 doi:10.1029/2004JD004720
42. X. Zhang, M.A. Friedl, C.B. Schaaf, A.H. Strahler, J.C.F. Hodges, F. Gao, B.C. Reed, and A. Huete Monitoring vegetation phenology using MODIS Remote Sens. Environ. 84 2003 471 475