Parker Jay, Donnellan Andrea, Glasscoe Margaret
Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA.
Earth Systems Science Center University of Alabama in Huntsville Huntsville AL USA.
Earth Space Sci. 2021 May;8(5):e2021EA001644. doi: 10.1029/2021EA001644. Epub 2021 May 18.
Because cross-polarized radar returns are highly associated with volume scatter, radar polarimetry returns tend to show strong evidence of wildfire scars and recovery in forest and chaparral. We focus on the polarimetry images from UAVSAR (PolSAR) line SanAnd_08525, which covers a roughly 20 km wide swath over the Transverse Range including parts of the Santa Monica, San Gabriel and San Bernardino Mountains. We select images from four acquisition dates from October 2009 to September 2020, very roughly 4 years apart. These are compared to fire perimeters from the national Geospatial Multi-Agency Coordination and NIFC databases for years 2003-2020, which shows the areas affected by the major fires (west to east) Springs2013, Woolsey2018, Topanga2005, LaTuna2017, Station2009, BlueCut2016, Pilot2016, Slide2007, Butler2007, and many smaller fires. PolSAR images are shown to be helpful in identifying types and boundaries of fire, 50-meter scale details of vegetation loss, and variability of vegetation recovery in post-fire years.
由于交叉极化雷达回波与体散射高度相关,雷达极化测量回波往往能有力地显示森林和灌木丛中野火疤痕及恢复情况。我们重点关注来自无人机合成孔径雷达(PolSAR)航线SanAnd_08525的极化测量图像,该航线覆盖了横断山脉约20公里宽的地带,包括圣莫尼卡山、圣盖博山和圣贝纳迪诺山的部分区域。我们从2009年10月至2020年9月这四个采集日期中选取图像,时间间隔约为4年。将这些图像与2003 - 2020年国家地理空间多机构协调和国家跨部门火灾中心数据库中的火灾边界进行比较,这些边界显示了受主要火灾影响的区域(从西到东),包括2013年斯普林斯火灾、2018年伍尔西火灾、2005年托潘加火灾、2017年拉图纳火灾、2009年消防站火灾、2016年蓝切火灾、2016年飞行员火灾、2007年滑坡火灾、2007年巴特勒火灾以及许多较小的火灾。结果表明,PolSAR图像有助于识别火灾类型和边界、植被损失的50米尺度细节以及火灾后数年植被恢复的变化情况。