Synthetic Aperture Radar (SAR) Interferometry for Assessing Wenchuan Earthquake (2008) Deforestation in the Sichuan Giant Panda Site
Synthetic Aperture Radar (SAR) Interferometry for Assessing Wenchuan Earthquake (2008) Deforestation in the Sichuan Giant Panda Site
复制标题
用于评估汶川地震（2008 年）四川大熊猫栖息地森林砍伐的合成孔径雷达 (SAR) 干涉测量
DOI：
10.3390/rs6076283
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发表时间：
2014-07-01
期刊：
影响因子：
5
通讯作者：
Zeng, Hongcheng
中科院分区：
文献类型：
--
作者：
Chen, Fulong;Guo, Huadong;Zeng, Hongcheng
合成孔径雷达（SAR）是多云和多雨地区的一种无与伦比的工具，因为它具有全天候、全天运行的能力，可以全年进行观测。本文首次利用C波段Envisat ASAR数据和L波段ALOS PALSAR数据，利用SAR干涉测量技术，对汶川地震对四川大熊猫栖息地的影响进行了评估。基于零点漂移的一致性分析表明，森林砍伐的过程是显着的，特别是在栖息地沿着岷江接近震中后，自然灾害，并解释了植被退化的滑坡，雪崩和泥石流。实验表明，C波段Envisat ASAR数据对植被敏感，导致低估了森林砍伐的情况;相比之下，L波段PALSAR数据能够评估森林砍伐过程，因为它具有更好的穿透力和对受损森林地区的显着相干性增益。2009-2010年，PALSAR估计的受损森林百分比从20.66%下降到17.34%，这意味着地震影响区的森林恢复率约为3%。这项研究证明，长波长合成孔径雷达干涉测量是有前途的快速评估灾害引起的森林砍伐，特别是在光学采集受到限制的地区。
Synthetic aperture radar (SAR) has been an unparalleled tool in cloudy and rainy regions as it allows observations throughout the year because of its all-weather, all-day operation capability. In this paper, the influence of Wenchuan Earthquake on the Sichuan Giant Panda habitats was evaluated for the first time using SAR interferometry and combining data from C-band Envisat ASAR and L-band ALOS PALSAR data. Coherence analysis based on the zero-point shifting indicated that the deforestation process was significant, particularly in habitats along the Min River approaching the epicenter after the natural disaster, and as interpreted by the vegetation deterioration from landslides, avalanches and debris flows. Experiments demonstrated that C-band Envisat ASAR data were sensitive to vegetation, resulting in an underestimation of deforestation; in contrast, L-band PALSAR data were capable of evaluating the deforestation process owing to a better penetration and the significant coherence gain on damaged forest areas. The percentage of damaged forest estimated by PALSAR decreased from 20.66% to 17.34% during 2009-2010, implying an approximate 3% recovery rate of forests in the earthquake impacted areas. This study proves that long-wavelength SAR interferometry is promising for rapid assessment of disaster-induced deforestation, particularly in regions where the optical acquisition is constrained.