Title :
Estimation of weed infestation in spring crops using MODIS data
Author :
Sultangazin, Umirzak ; Muratova, Nadiya ; Doraiswamy, Paul ; Terekhov, Alexey
Author_Institution :
Space Res. Inst., Minist. of Educ. & Sci., Almaty, Kazakhstan
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 land use. The objective of this research was the analysis of weed infestation in spring grain crops. Weed infestation was classified into three categories, namely: minimum, average and maximum. The analysis of spectral characteristics of fields during the 2002 vegetative period permitted 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 a number of uncultivated fallow fields. So the land use classification map was used to define the fallow fields in each farm in the oblasts. 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.
Keywords :
agriculture; crops; remote sensing; spectral analysis; vegetation mapping; MODIS satellite; crop productivity; land use classification map; mid-resolution satellite; near infrared spectral bands; oblasts; regional land use; remote sensing; spectral characteristics; spring grain crops; uncultivated fallow fields; vegetation mapping; weed infestation; weed population; Agriculture; Condition monitoring; Crops; Ear; Hydrology; MODIS; Production; Productivity; Satellites; Springs;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1293786