Spatial pattern dynamics of quasi-circular plant community patches at Gudong oil field

Qingsheng Liu; Jinfa Dong; Gaohuan Liu; Chong Huang

doi:10.1117/12.2019962

19 March 2013 Spatial pattern dynamics of quasi-circular plant community patches at Gudong oil field

Qingsheng Liu, Jinfa Dong, Gaohuan Liu, Chong Huang

Proceedings Volume 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 87620S (2013) https://doi.org/10.1117/12.2019962
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China

Abstract

Spatial pattern dynamics of plant community is a key indicator of long-term plant change in semi-arid ecosystems. This study uses high spatial resolution SPOT5 remote sensing data to detect the quasi-circular plant community patches to analyze the spatial pattern dynamics at Gudong Oil Field, China. The detection accuracy of quasi-circular plant community patches from SPOT5 is about 84%. Compared with the 2000, the amount of quasi-circular plant community patches increases from 169 to 204 in 2005, but the areas of 169 quasi-circular plant community patches in 2000 changes a little in 2005. Spatial patterns of quasi-circular plant community patches in 2000 and 2005 are analyzed using average nearest neighbor method in ArcGIS, and both of their spatial patterns are dispersed distribution. This is due to seismic exploration at Gudong Oil Field since 1980’s. These results show that high spatial resolution remote sensing data is simple and effective for detecting plant community patch, and easy to be used to study spatial pattern dynamics of plant community.

Citation Download Citation

Qingsheng Liu, Jinfa Dong, Gaohuan Liu, and Chong Huang "Spatial pattern dynamics of quasi-circular plant community patches at Gudong oil field", Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 87620S (19 March 2013); https://doi.org/10.1117/12.2019962

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KEYWORDS

Remote sensing

Spatial resolution

Satellites

MATLAB

Vegetation

Analytical research

Image resolution

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