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Title: ESTIMATION OF WEED INFESTATION IN SPRING CROPS USING MODIS DATA

Author
item SULTANGAZIN, UMIRZAK - SPACE RESEARCH INSTITUTE
item MURATOVA, NADIYA - SPACE RESEARCH INSTITUTE
item Doraiswamy, Paul
item TEREKHOV, ALEXEY - SPACE RESEARCH INSTITUTE

Submitted to: International Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 5/30/2003
Publication Date: 7/21/2003
Citation: Sultangazin, U., Muratova, N., Doraiswamy, P.C., Terekhov, A. 2003. Estimation of weed infestation in spring crops using MODIS data. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, July 21-25, 2003, Toulouse, France. I:392-394.

Interpretive Summary:

Technical Abstract: Spring crops are a monoculture in Northern Kazakhstan. Mid-resolution satellite data of red and near infrared spectral bands from Terra's MODIS satellite can be used for assessment of regional landuse. The objective of this research was to analyze the weed infestation in spring grain crops. Weed infestation was classified into three categories, namely: minimum, average and maximum population. The analysis of spectral characteristics of fields during the 2002 vegetative period permitted the development of criteria to distinguish all three classes of weed infestation. It turned out, that the degree of weed population appeared to be closely linked with the number of uncultivated fallow fields. So the landuse classification map was used to define the fallow fields in each farm in the Oblasts (States). The estimation of weed population and its influence on crop productivity was derived from these analyses. The study was conducted for about 10 million hectare of spring crops in five oblasts of Northern Kazakhstan.