Gram-Schmidt and Ehlers fusion, which are well known for spectral fidelity, are described. Selecting a sandrock mine
using SPOT5 as study area, spectral fidelity and high spatial information gain are used to assess the two fusion methods,
which are compared with multiplication and Andorr fusion. In the whole, the Gram-Schmidt method is the best,
preserving highly the original spectral information, and can provide spectrum control foundation for interpreting mine
targets in the complex geology environment. Ehlers method is the second. Then Andorr method is the third, and it has the
highest spatial information gain, but high frequency information is enlarged excessively, effecting on the identification of
mine exploitation state. The multiplication method is the worst, because it loses the high and low frequency information,
which is the most important for mine targets recognition.
In this paper, the water quality of Hushan Tailings reservoir in Huji, Zhongxiang of Hubei province, was studied by
remote sensing technology. Firstly, radioactive correction of ASTER data was processed by FLAASH Model, then the
scatter was produced by SPSS, which was about reflectance or reflectance ratio of remote sensing(ASTER) and
measured pollutant (Ag<sup>+</sup>, Ba<sup>2+</sup>, Hg<sup>2+</sup>, Ca<sup>2+</sup>, Mg<sup>2+</sup>, F<sup>-</sup>, Cl<sup>- </sup>, NO<sup>3-</sup>, H<sub>2</sub>PO<sub>4</sub><sup>-</sup>,
SO<sub>4</sub><sup>2-</sup>, et.)at sampling sites. After experimentation,conversion model was built with significance test, F=68.797(F<sub>0.05</sub>=11.821), R=0.793. Finally, the data of water reflectance was processed with our model, and the distribution of corresponding pollutant was obtained.
The main environment contamination source of the phosphorite mining area, located in Huji city, Hubei province, China,
was detected and evaluated using ASTER and DEM. Firstly, the featured spectrum that has unique diagnose spectral
feature was generalized after analyzing the types and spectrum characteristics of the sample contamination source in the
area. Secondly, the main contamination source of the area was recognized by means of principal component analysis
using ASTER band 1-9. And the distributions of them were in accordance with that of phosphorite, carbonate and waste
water. Finally, flow accumulation and catchment images were simulated using DEM and GIS. By analyzing the images
of the flow accumulation, catchment and contamination source, the authors conclude that large scale opencast
phosphorite mining and solid waste materials have damaged mining environment; the disordered piling of solid waste
material has been boosting diffusion and migration of harmful and toxic matters; and all of these has damaged heavily
ecological environment of lower reaches, and is the potential unsafe factor for that of Hanjiang river also.
Keywords: ASTER, DEM, mining contamination, detection and evaluation on contamination sources