An experiment research of large scale neural networks classification was carried out by applying GIS technique synthetically,which took the Spot/vegetation NDVI image in Inner Mongolia as basic information source.A highresolution image database of many years time series was build by integrating GIS software with remote sensing visual interpretation and selecting "pure" sample data in the range of the whole municipality.Land cover's BP artificial neural networks classification of the area was accomplished by combining DTM data and grid climate data with the database.It turns out that with the support of GIS technique,BP artificial neural networks classification of spot/vegetation NDVI image at large scale can reach a higher classification precision.