摘要

Effective calculation and determination of biomass productivity in different regional and time was not available for precision agricultural practice because of lacking of large scale resolution multi and hyperspectral data sources and also its methodology of processing. Products of new generation of satellite and airborne sensors could give advanced tool for end users to fill this gap. In this paper a 8 years time series from satellite multispectral remote sensing data model was introduced in the region of Bekes-Csanad Loess Plateau (BCSLP, 172737 ha). The estimation of biomass production changing related to actual yearly available water resources (i.e. drought and/or excess water stress). The effects of changing spectral and physical space and time of Normalized Difference Vegetation Index (NDVI) correlated with Relative Frequency of Excess Water Inundation, Precipitation, Potential Evapotranspiration (PET) and Leaf Area Index (LAI) were calculated to enhance and modify regional water balance equitation. Based on our biomass potential evaluation method could be develop better irrigation and water management practise on the Bekes-Csanad Loess Plateau.

  • 出版日期2009