Ms. Xuexia Zhang Profile

Xuexia Zhang

at Beijing Forestry Univ

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Author

Publications (5)

Proceedings Article | 27 October 2011 Paper

Based on MODIS NDVI data to monitor the growing season of the deciduous forest in Beijing, China

Ke Xu, Xuexia Zhang, Bin Chen, Kai Hua, Kaidi Zheng, Ting Wu

Proceedings Volume 8181, 81811D (2011) https://doi.org/10.1117/12.898090

KEYWORDS: MODIS, Vegetation, Data modeling, Remote sensing, Climate change, Climatology, Reliability, Temperature metrology, Satellites, Data processing

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Proceedings Article | 30 October 2009 Paper

Study on identifying deciduous forest by the method of feature space transformation

Xuexia Zhang, Pengfei Wu

Proceedings Volume 7494, 74942E (2009) https://doi.org/10.1117/12.833144

KEYWORDS: Vegetation, Visualization, Remote sensing, Satellites, Forestry, Error analysis, Statistical analysis, Feature extraction, Signal to noise ratio, Satellite imaging

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Proceedings Article | 27 September 2006 Paper

Combining the decision tree and supervised classification techniques to identify tobacco fields in satellite images: Luxi County of Yunnan Province in China as an example

Xuexia Zhang, Weihong Cui, Zhenguo Niu, Jinggang Li, Na Zhao

Proceedings Volume 6298, 62981W (2006) https://doi.org/10.1117/12.678700

KEYWORDS: Image fusion, Spatial resolution, Earth observing sensors, Satellites, Satellite imaging, Absorption, Remote sensing, Vegetation, Image resolution, Landsat

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Proceedings Article | 14 July 2003 Paper

Risk assessment of volcanic hazards of Changbaishan region based on RS and GIS

Xuexia Zhang, Maojun Wang

Proceedings Volume 4890, (2003) https://doi.org/10.1117/12.488582

KEYWORDS: Geographic information systems, Remote sensing, Data acquisition, Raster graphics, Data modeling, Mathematical modeling, Geology, Factor analysis, Hazard analysis, Statistical analysis

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The keystones of research on modern volcanic hazards and calamity are from static research on local or regional change to dynamic research on global change, which emphasize particularly on monitoring volcanic activity and countermeasures of disaster recovery. Geological problems are emphases of volcano study in China in the past few years. Research on volcano mitigation starts now. There is still a few case of integrative risk assessment. Baitoushan volcano in the Changbaishan region is an active volcano with the most possible eruption and causing hazards in China. So the paper introduces a kind of brand-new Geographic method - Geographical Information System (GIS) and Remote Sensing (RS) to risk evaluation of volcanic hazards and attempt to introduce a kind of new risk evaluation approach of volcanic hazards based on Area Source Model. When choosing evaluative indexes, we take three aspects of fatalness of volcanic hazards, socio-economic vulnerability, harmfulness of causing-disaster factors into account.The fundamental data of evaluation in the studied area are acquired by the method of man-machine interpreting TM image and referring to forefathers' research results to do correction. Cell (1 km x 1 km size of raster unit) is partitioned in Changbaishan region, which is realized in raster GIS platform. The above risks were combined with the cll based on Area Source Model following mathematical models of risk evaluation on ARC/INFOR GRID sub modular. From risk evaluation result of volcanic hazards in Changbaishan region we can conclude that : 1. The value of risk is lower with far from Baitoushan crater, which is tallied with other scholars' and the general cognition. 2. The contribution to risk of pyroelastic flow is very big, while the influence of fulgurite is comparatively small, which is identical with the fact that the amount and harmfulness of pyroelastic is much larger than flugurite. The following fact shows that the method that the dissertation adopts is very practicable.

Proceedings Article | 14 July 2003 Paper

Land-use/land-cover change in east China and its possible effects on carbon cycle of terrestrial ecosystems in the last 20 years

Junhu Dai, Quansheng Ge, Xuexia Zhang

Proceedings Volume 4890, (2003) https://doi.org/10.1117/12.466765

KEYWORDS: Carbon, Ecosystems, Vegetation, Data conversion, Geographic information systems, Remote sensing, Statistical analysis, Natural disasters, Germanium, Climate change

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