Spatial Observation of Giant Panda Habitat by Xinyuan Wang & Jing Zhen & Qingkai Meng

Author:Xinyuan Wang & Jing Zhen & Qingkai Meng
Language: eng
Format: epub
ISBN: 9789811987946
Publisher: Springer Nature Singapore

Fig. 5.14Envisat ASAR, a pre-earthquake 2008-03-03 to 2007-12-24; b post-earthquake 2009-01-12 to 2008-11-03 coherence map comparison plots. The red oval marks the post-earthquake coherence values along the Min River to the area of significant gain. c Corresponding human settlements (pink polygons), agricultural land (green polygons), and river terraces (blue polygons) in the plain area

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ALOS PALSAR Degradation Monitoring

Thanks to the long wavelength, the L-band ALOS PALSAR data have a strong penetration and temporal coherence retention capability. Therefore, the high quality coherence maps and the significant coherence value changes characterized in the coherence maps after the earthquake can be used for accurate information extraction and assessment of post-earthquake forest degradation compared to Envisat ASAR data in C-band. It is in view of the above-mentioned superiority of L-band that the study focuses on the application of PALSAR data for quantitative analysis of forest degradation. Similar to the Envisat ASAR data processing, first, the small baseline criterion ii (spatial vertical baseline less than 2000 m and temporal baseline less than 322 days) was applied to generate 48 combinations of coherence maps, as shown in Fig. 5.15.

Fig. 5.15ALOS PALSAR coherence map image pairing based on a small baseline set (spatial vertical baseline less than 2000 m, temporal baseline less than 322 days). The spatial baseline constraint threshold range for searching pre/post-earthquake coherence maps is marked by blue cyan, and the final selected contrast coherence map image pairs are marked by pink lines

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