Remote sensing and mapping of vegetation community patches at Gudong oil field, China: a comparative use of SPOT5 and ALOS data

摘要

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%).