Take the drought remote sensing for winter wheat in He’nan province as an example, the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), leaf area index (LAI) and land surface temperature (ST) data from MODIS/AQUA were applied to analyze NDVI—ST space and EVI—ST space. It was discovered that NDVI—ST and EVI—ST spaces were double parabola as compared with NDVI—ST, EVI—ST and LAI—ST triangle or trapezoidal space. The relationship between TVDI and soil moisture was analyzed with the obtained TVDI derived from the spaces. The results show that the NDVI—ST double parabola space is better than the others to reflect the 10cm-depth soil moisture. Based on the TVDI obtained from the NDVI-ST double parabola space, the drought situation in He’nan province, from February 26, 2011 to May 16, 2011 was evaluated. Compared with the raining data observed by local weather stations, the general spatio-temporal features of the drought situation of winter wheat in He’nan in the spring of 2011 was revealed.