重庆高燕锰矿植被覆盖区遥感矿化信息提取

Mineralization Information Extraction for Vegetation-Covered Area of the Gaoyan Mn Deposit in Chongqing with Remote Sensing

遥感找矿在大多植被覆盖区效果并不明显。在重庆高燕锰矿区采用了Landsat 8多光谱遥感数据的植被覆盖区矿化信息提取方法,该方法与传统提取遥感矿化蚀变信息找矿的方法不同,通过提取植被覆盖相对较小的含矿层顶底板岩层的遥感异常,查明含矿层位置。该方法采用特定的膜技术剔除植被、水体、云雪等干扰,再利用比值法在高植被覆盖区提取有价值的遥感蚀变信息,然后将多个波段比的遥感异常进行假彩色合成,再将遥感异常与地质事实结合,最终解译出锰矿含矿层顶底板遥感异常特征,确定找矿线索。

Remote sensing technology is one of the most important prospecting methods. However, its effect is not obvious in most vegetation coverage areas. This study applies a kind of mineralization information extraction method in vegetation coverage area based on Landsat 8 multi-spectral remote sensing data to the vegetation coverage area of the Gaoyan Mn deposit in Chongqing. This method uses specific mask technique for eliminating interferences of vegetation, water, snow, cloud in order to utilizing band ratio method in high vegetation coverage area to extract valuable remote sensing mineralization and alteration information. Then, false color composite is made by use of variety of bands. Finally, in combination with geological data, remote sensing anomaly characteristics of the manganese ore beds and their roof and floor are determined.