Disaggregation of low resolution NDVI data for monitoring vegetation in mining area

Vegetation cover in mining area may be influenced by the exploitation and utilization of mineral resources. Because of the small size of mine goaf, coarse-resolution remote sensed images are not able to detect the variation of vegetation above the goaf. In this paper, the 250 m MODIS NDVIs were disaggregated into 30 m NDVIs by the help of land-cover map based on TM images. The result showed that the disaggregation precision is higher using the NDVI-based density slicing land-cover map than false-color- composite supervised-classified land-cover map. In addition, the number of selected pixels for building system of equations was discussed to reduce the amount of calculation on the premise of ensuring the precision.