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Study On Remote Sensing Anomalies Related With Mineralization

Posted on:2009-01-16Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z F ZhaoFull Text:PDF
GTID:1100360272962595Subject:Resources and Environment Remote Sensing
Abstract/Summary:PDF Full Text Request
Mineralization anomalies, which include ore-forming or ore-controlling factors and mineralization indications, were widely used as significant information in target optimization and exploration deployment. With the development of remote sensing, mineralization anomalies could be well recognized from remote sensing data in real, objective, macroscopical ways. However, to the best of our knowledge, the plentiful information in remote sensing data has not been fully identified and utilized. The components of mineralization anomalies have not been synthesized to a system yet. Remote sensing was usually taken as an assistant role in mineral exploration. All these factors hindered the remote sensing geological application. To propel an effective mineral resources exploration technology and method, remote sensing geological theories, applications and practice have been researched thoroughly in this dissertation. The main achievements and innovations are summarized as follows:1. A new concept-mineralization remote sensing anomaly system was firstly put forward in this dissertation, by studying on the spatial and spectral features of mineralization remote sensing anomalies. The mineralization remote sensing system was developed with"linement, circle geological information + landform + alteration anomaly". The results showed that remote sensing, with plentiful information, could be taken as an important independent role in mineral exploration.2. The component of remote sensing alteration and the classification of remote sensing alteration anomalies were defined by roughly comparing results with a known mineral alteration. That led to uncertainties on the definitions. So far, remote sensing alteration extraction was mostly done in exposed rock area. To improve the above limitation, this dissertation deeply illustrated the mechanism of methods in"Masking + Principal + Anomaly Classification"on the basis of the alteration characteristic spectral features. The remote sensing alterations were extracted in northwestern Yunnan with semi-vegetation accordingly. By this way, the study on remote sensing alteration was in a further step.3. Remote sensing geological applications were widely improved. Remote sensing geological interpretations such as outcropped rock and hidden rock have been reflected respectively according to their differential properties. Besides, the remote sensing alterations in northwestern Yunnan were comprehensively and systemically analyzed. The objective conclusion was drawn. That is, the OH- alterations could be regarded as the indicator of the porphyry type copper deposits, while the Fe2+ (Fe3+) alterations were related with the skarn type multi-copper deposit. Moreover, remote sensing interpretation results were thoroughly involved in quantitative assessment, which improve the shortcoming of remote sensing interpretation qualitative description in previous work.4. The mineral resources prediction by Weights of Evidence was implemented by using the components of the mineralization remote sensing system developed in this dissertation. The practice has successfully determined the main ore body in Pulang large scale copper deposit. In the same way, the prediction information was favorable to the exploration of Disuga middle scale copper deposit. Thus, the effective mineral resources assessment method was propelled and developed.In a word, the topic of the dissertation was reasonable. The innovative was accomplished in the combination of the remote sensing geological theory and application. Therefore, the study results could be used as theoretical references, with high values of application.
Keywords/Search Tags:Remote sensing anomaly system, Alteration anomaly extraction, mineral resources prediction by Weights of Evidence, Multi-copper mineralization belt in northwestern Yunnan
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