Share Email Print
cover

Proceedings Paper

Remote sensing and mapping of vegetation community patches at Gudong Oil Field, China: a comparative use of SPOT 5 and ALOS data
Author(s): Qingsheng Liu; Dan Huang; Gaohuan Liu; Chong Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Circular or elliptical vegetation community patches resulted from seismic exploration of Shengli Oil Field occurs widely across the Yellow River Delta in China. In order to facilitate the monitoring of vegetation extension and quantify the mechanism of vegetation patch succession, there is a clear need for accurate and economical of detecting the different structures of vegetation patches. This paper compares the efficacy of SPOT 5 and ALOS data in detecting vegetation community patches at Gudong oil field, China. As a result of shape differences between vegetation community patches and background in the image provided by each sensor, canny edge detector and mathematical morphological methods were employed. SPOT 5 data (2.5 m Ground Spatial Distance or GSD, detection accuracy, 91.2%) proved more effective in vegetation community patch delineation than ALOS data (2.5 m GSD, detection accuracy, 89.3%).

Paper Details

Date Published: 19 October 2012
PDF: 7 pages
Proc. SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 85311Q (19 October 2012); doi: 10.1117/12.970606
Show Author Affiliations
Qingsheng Liu, Institute of Geographic Sciences and Natural Resources Research (China)
Dan Huang, Institute of Geographic Sciences and Natural Resources Research (China)
Gaohuan Liu, Institute of Geographic Sciences and Natural Resources Research (China)
Chong Huang, Institute of Geographic Sciences and Natural Resources Research (China)


Published in SPIE Proceedings Vol. 8531:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV
Christopher M. U. Neale; Antonino Maltese, Editor(s)

© SPIE. Terms of Use
Back to Top