A suitalbe solution for extraction of alteration anomalies from the remote sensing data: A case study of the Baogutu porphyry copper deposit intrusion, Xinjiang, China using Aster data

2009 ◽  
Author(s):  
Yu Chen ◽  
Qizhong Lin ◽  
Huadong Guo ◽  
Yongmin Wei ◽  
Qinjun Wang
Keyword(s):  
Remote Sensing ◽  
Porphyry Copper ◽  
Remote Sensing Data ◽  
Copper Deposit ◽  
Porphyry Copper Deposit ◽  
Sensing Data ◽  
Aster Data

Data Repeatability of Remote Sensing Mineralized Alteration Mapping: A Case Study from Duolong Porphyry Copper Deposit, Tibet, China

2013 ◽  
Vol 295-298 ◽  
pp. 2778-2785
Author(s):  
Ting Bin Zhang ◽  
Ding Fa Huang ◽  
Gui Hua Yi ◽  
Xiao Juan Bie ◽  
Na Guo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Extraction ◽  
Spatial Data ◽  
Porphyry Copper ◽  
Remote Sensing Data ◽  
Copper Deposit ◽  
Porphyry Copper Deposit ◽  
Information Classification ◽  
Processing Information

As an important part of spatial data, remote sensing data also has the characteristic of uncertainty existing in data acquisition, data pre-processing, information extraction, information classification and information evaluation. To these characteristics, concepts of remote sensing mineralized alterations repeatability was put forward. Using Duolong porphyry copper deposit, Tibet as an example, data repeatability was discussed. Results show that the same sensor of remote sensing mineralized alterations were similar under circumstance of time phase which does not vary much, but the results will be partially different when the anomaly classes meets together.

scholarly journals The Evaluation of GPM Precipitation Remote Sensing Data with Observed Data (Case Study: Mid-West of Iran)

2019 ◽  
Vol 11 (2) ◽  
pp. 115-124
Author(s):  
hamid reza sadeghi ◽  
jafar masoompour ◽  
Morteza miri
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data
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