|
��չ���� |
|
| ������Ϣ | |
 |
Supporting info |
|
PDF(1259KB) |
|
[HTMLȫ��] |
|
�����[PDF] |
|
����� |
| �����뷴�� | |
|
�������ù����� |
|
���� |
|
Email Alert |
|
���·��� |
|
���������Ϣ |
| ���Ĺؼ���������� | |
|
ң�н��� |
|
ʴ����Ϣ |
|
�ɿ�Ԥ�� |
|
�ɶ����ϵ��� |
| ��������������� | |
|
���� |
|
�ƺ� |
|
������ |
|
��� |
| PubMed | |
|
Article by Zhang, Q. |
|
Article by Huang, H. |
|
Article by Jiang, Q. G. |
|
Article by Yang, C. B. |
����ң�м�������ETM +Ϊ��Ҫ����Դ�����ɶ����ϵ���������ز㵥Ԫ���ҽ��ҺͶ��ѹ���Ľ����־���������ң��ʴ����Ϣ����ȡ����; ��ϸ̽����������Ҫ������ң�е���ģ�͡��������ڵ��Ϳɿ����������ң�н����־�Ƚ���ң�п�ģ�͡������ȡ��ȫ��ң�п���Ϣ���гɿ�Ԥ�⣬ȫ����ɸѡ���ɿ�Ԥ����24 ������Ԥ����86 ������Ԥ����12 ����
With remote sensing technique��choosing ETM imageries as main data source��we built interpretation keys of stratigraphic unit��magmatic rocks and fault structure��then extracted the interpretation alteration data of the studied area and detailedly studied remote sensing geological model of main metal ore deposit in the work area�� According to the geological condition and remote sensing interpretation keys of some typical ore deposits��we built remote sensing mineralization models and carried out metallogenic prediction with the extracted remote sensing mineral data�� There were 24 level ��86 level�� and 12 level�� pieces of mineralization prospected areas��