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Title:   Author  item
                                            Doraiswamy, Paulitem
                                            MURATOVA, NADIYA - SPACE RESEARCH INSTITUTEitem
                                            Stern, Alanitem
                                            AKHMEDOV, BAKHYT - USDA/ARS CONTRACTOR
  Submitted to: IEEE IGARSS Annual Proceedings
                                    Publication Type: Proceedings
                                    Publication Acceptance Date: 6/20/2002
                                    Publication  Date: 6/24/2002
                                    Citation: Doraiswamy, P.C., Muratova, N., Stern, A.J., Akhmedov, B. 2002. Evauation of MODIS data from assessment of regional spring wheat yields in Kazakhstan. In: Proceedings of IGARSS 2002 Symposium, Toronto, Canada, 24-28 June 2002 [CDROM]. I:487-490.Interpretive Summary:
                                Technical Abstract: Regional monitoring of agricultural crop condition has traditionally been accomplished using NOAA AVHRR (1 km) data.  New methods for assessing crop yields are developed by integrating biophysical parameters retrieved from remotely sensed imagery with crop simulation models.  The MODIS imagery offers an opportunity for an improved resolution and daily coverage required for operational applications.  The objective of this research was to assess the application of MODIS data for operation crop condition and yields.  A field study was conducted in the spring wheat belt of Northern Kazakhstan.   The study focused on one county and twenty very large fields were monitored for crop reflectance, LAI, soil moisture, other growth parameters and yields. Vegetation classification for the region was developed by selecting area of interest that represented the different combination of soil and vegetation around the county.  A radiative transfer model was used to develop the LAI parameters from the MODIS 250-m data.   A crop yield model was calibrated for the study fields.  Parameters such as LAI derived from MODIS imagery were integrated in the crop model to develop a yield map for the county.


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