Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1990, Vol. 2 Issue (3) : 31-36     DOI: 10.6046/gtzyyg.1990.03.05
Applied Research |
A STUDY OF REMOTE SENSING GEOLOGY FOR Sb-MINEROGENETIC LAW AND STRUCTURAL GEOLOGIC CHARACTERISTICS IN YOUCAICHONG AREA, XINGREN,GUIZHOU
Yang Wunian, Liu Dengzhong, Liu Yinglong, Jiang Zhangping
Chengdu college of Geology
Download: PDF(2902 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

In this paper, with a method of remote sensing combining with conventional geology, a spacial pattern of linear structures and circular structures and distribution of Sb-ore beds were determined. The relation of mineralization to geology and structures was basically ascertained. With a comprehensive investigation, the minerogenitic law and factors controlling mineralization were discussed, and prospective areas looking -for Sb-ore were suggested.

Keywords Winter wheat      Canopy spectral data      NDVI      LAI     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
LIU Dong-Sheng
LI Shu-Min
ZHAO Xi-gang
HE Jian-guo
ZHAO Cui-ping
Cite this article:   
LIU Dong-Sheng,LI Shu-Min,ZHAO Xi-gang, et al. A STUDY OF REMOTE SENSING GEOLOGY FOR Sb-MINEROGENETIC LAW AND STRUCTURAL GEOLOGIC CHARACTERISTICS IN YOUCAICHONG AREA, XINGREN,GUIZHOU[J]. REMOTE SENSING FOR LAND & RESOURCES, 1990, 2(3): 31-36.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1990.03.05     OR     https://www.gtzyyg.com/EN/Y1990/V2/I3/31


[1] 陈豫、刘秀成、张启厚:贵州晴隆大厂锑矿床成因探讨, 矿床地质, 3卷, 3期, 1984

[1] SHI Feifei, GAO Xiaohong, XIAO Jianshe, LI Hongda, LI Runxiang, ZHANG Hao. Classification of wolfberry planting areas based on ensemble learning and multi-temporal remote sensing images[J]. Remote Sensing for Natural Resources, 2022, 34(1): 115-126.
[2] HU Yingying, DAI Shengpei, LUO Hongxia, LI Hailiang, LI Maofen, ZHENG Qian, YU Xuan, LI Ning. Spatio-temporal change characteristics of rubber forest phenology in Hainan Island during 2001—2015[J]. Remote Sensing for Natural Resources, 2022, 34(1): 210-217.
[3] SHI Min, GONG Huili, CHEN Beibei, GAO Mingliang, ZHANG Shunkang. Monitoring of land subsidence in Beijing-Tianjin-Hebei plain during 2016—2018 based on InSAR and Sentinel-1A data[J]. Remote Sensing for Natural Resources, 2021, 33(4): 55-63.
[4] LIU Yongmei, FAN Hongjian, GE Xinghua, LIU Jianhong, WANG Lei. Estimation accuracy of fractional vegetation cover based on normalized difference vegetation index and UAV hyperspectral images[J]. Remote Sensing for Natural Resources, 2021, 33(3): 11-17.
[5] DU Fangzhou, SHI Yuli, SHENG Xia. Research on downscaling of TRMM precipitation products based on deep learning: Exemplified by northeast China[J]. Remote Sensing for Land & Resources, 2020, 32(4): 145-153.
[6] YANG Huan, DENG Fan, ZHANG Jiahua, WANG xueting, MA Qingxiao, XU Nuo. A study of information extraction of rape and winter wheat planting in Jianghan Plain based on MODIS EVI[J]. Remote Sensing for Land & Resources, 2020, 32(3): 208-215.
[7] Biqing WANG, Wenquan HAN, Chi XU. Winter wheat planting area identification and extraction based on image segmentation and NDVI time series curve classification model[J]. Remote Sensing for Land & Resources, 2020, 32(2): 219-225.
[8] Guoce SONG, Zhi ZHANG. Remote sensing monitoring method for dust and wind accumulation in multi-metal mining area of Xin Barag Right Banner,Inner Mongolia[J]. Remote Sensing for Land & Resources, 2020, 32(2): 46-53.
[9] Linyan FENG, Bingxiang TAN, Xiaohui WANG, Xinyun CHEN, Weisheng ZENG, Zhao QI. Object-oriented rapid forest change detection based on distribution function[J]. Remote Sensing for Land & Resources, 2020, 32(2): 73-80.
[10] Dongya CHENG, Xudong LI. Comparison of change characteristics of NDVI in mountain basin before and after atmospheric correction[J]. Remote Sensing for Land & Resources, 2020, 32(1): 90-97.
[11] Xianhua YANG, Xiao XU, Lixiao XIAO, Li TIAN, Lina HAO, Peng XU. Evolution trend and driving force analysis of the Chaerhan Salt Lake[J]. Remote Sensing for Land & Resources, 2020, 32(1): 130-137.
[12] Hui YUAN, Qiming QIN, Yuanheng SUN. Validation of LAI retrieval results of winter wheat in Yancheng, Luohe area of Henan Province[J]. Remote Sensing for Land & Resources, 2020, 32(1): 162-168.
[13] Jiaxin XU, Shibo FANG, Tingbin ZHANG, Yongchao ZHU, Dong WU, Guihua YI. NDVI changes and its correlation with climate factors of the Three River-Headwater region in growing seasons during 2000—2016[J]. Remote Sensing for Land & Resources, 2020, 32(1): 237-246.
[14] Wei WANG, Samat Alim, Abuduwaili Jilili. Geo-detector based spatio-temporal variation characteristics and driving factors analysis of NDVI in Central Asia[J]. Remote Sensing for Land & Resources, 2019, 31(4): 32-40.
[15] Chao MA, Panli CAI. Spatio-temporal changes and driving factors of environmental and ecological index in Culai-Lianhua area[J]. Remote Sensing for Land & Resources, 2019, 31(4): 199-208.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech