多时相遥感数据在矿山扩展动态监测中的应用

矿山开采会造成植被生态破坏，植被覆盖的变化间接反映矿区扩展变化。以攀枝花钒钛磁铁矿矿区为例，首先采用土壤调 节大气耐抗植被指数差值模型提取矿区扩展变化，然后用最大似然监督分类得到矿区扩展信息，接着在ArcView 9.1下将二者结果 进行叠加“与”分析，得到矿山扩展动态信息，最后将结果与2005年专家解译分类结果进行比较，精度达到95.3%。

DYNAMIC MONITORING OF MINING AREA EXPANSION BASED ON MULTITEMPORAL REMOTE SENSING IMAGES

Mining activity is responsible for the deterioration of the vegetation environment, and the variation of vegetation environment reflects the information of mining area expansion. With the Panzhihua vanadium - titanium magnetite ore deposit area as a study case, the authors extracted the mining area expansion information by using the SARVI difference model and then used the supervised cassification method. The results of the two performances were superimposed upon each other and analyzed under the condition of ArcView 9.1 so as to obtain the dynamic information of mining area expansion. A comparison was made with the manual interpretation classification result of seasoned expert in 2005, and it is shown that the precision can reach 95.3%. The experimental results show that this method is very simple and effective in the extraction of the mining area expanding information, and is also very important both in theory and in practice. This method proves to be very promising in dynamic inspection of mining area.