scholarly journals Dynamic monitoring of water petroleum substance using HJ-1/CCD remote sensing data

2014 ◽  
Vol 17 ◽  
pp. 012104 ◽  
Author(s):  
Miaofen Huang ◽  
Xufeng Xing ◽  
Zulong Zhao ◽  
Zhanqiang Li
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Dynamic Monitoring ◽  
Sensing Data

The Dynamic Monitoring on Mining Collapsing around Xinglongzhuang Coal Mine Based on Remote Sensing Images

2013 ◽  
Vol 726-731 ◽  
pp. 4625-4630 ◽  
Author(s):  
Hai Qing Wang ◽  
Ying Jie Zhou ◽  
Ling Chen ◽  
Qing Qing Jing ◽  
Jie Wang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Economic Development ◽  
Coal Mine ◽  
Local Economic Development ◽  
Remote Sensing Data ◽  
Field Investigation ◽  
Dynamic Monitoring ◽  
Great Contribution ◽  
Remote Sensing Images ◽  
Sensing Data

A large number of old coal mine, such as Xinglongzhuang coal mine, made a great contribution to local economic development and national construction. But, serious mining collapsing was caused also, and local people's livelihood has been affected seriously. The mining collapsing could be identified on remote sensing images by some characteristics. There were 4 period remote sensing data, which was acquired respectively in June 2009, April 2010, June 2011 and July 2012, and field investigation were applied in this articles to study these mining collapsing. The research suggests that the mining collapsing could be divided into the aged type, the middle aged type and the young type. There is a suggestion that, the monitoring and prevention works should be strengthened.

The Intelligent Classifier’s Building of Typical Vegetation Based on Hyper-Spectral Data

2014 ◽  
Vol 1073-1076 ◽  
pp. 1972-1976
Author(s):  
Jie Zhang ◽  
Hao Yan Zhao ◽  
Min Xia Zhang
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Dynamic Monitoring ◽  
Large Area ◽  
Desert Vegetation ◽  
Sensing Data ◽  
Monitoring Model ◽  
Hyper Spectral ◽  
Bp Neural Network Model ◽  
Intelligent Process

With 3S comprehensive analysis on vegetation and the further development of hyper-spectral technology, the dynamic monitor of large area vegetation in long-term has become the trend. Intelligent process, combined the remote sensing data and field data, constructing dynamic monitoring model, plays an important guilding role in ecological security and balance. By using hyper-spectral remote sensing data of desert vegetation, three groups of spectral characteristic parameters were selected as input data of typical desert vegetation in the research, and vegetation types were selected as output data. Typical vegetation classifier was constructed based on the BP neural network model to study the vegetation classification.

Application of Remote Sensing Data on Dynamic Monitoring of Coastline in the Yellow River Delta

2014 ◽  
Vol 598 ◽  
pp. 463-466
Author(s):  
Jun Chang ◽  
Tao Li ◽  
Wei Liu
Keyword(s):  
Remote Sensing ◽  
Yellow River ◽  
Remote Sensing Data ◽  
Yellow River Delta ◽  
River Delta ◽  
Dynamic Monitoring ◽  
The Yellow River ◽  
The Yellow River Delta ◽  
Sensing Data ◽  
Ecological Protection

As one of the efficient means of data acquisition, remote sensing data play an important role in many areas of life through the development of technology and the improvement of spatial resolution. In this paper, the application of remote sensing data on dynamic monitoring of coastline in the Yellow River Delta was analyzed. The results indicate that the using of remote sensing data was more scientific and efficient than the traditional methods, and the analysis results can provide a theoretical basis for the ecological protection in the Yellow River Delta.

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