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首页> 外文期刊>International Journal of Wildland Fire >Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel
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Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel

机译:在西班牙,美国和以色列使用遥感时间序列数据监测野火后植被的反应

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摘要

Due to the challenges faced by resource managers in maintaining post-fire ecosystem health, there is a need for methods to assess the ecological consequences of disturbances. This research examines an approach for assessing changes in post-fire vegetation dynamics for sites in Spain, Israel and the USA that burned in 1998, 1999 and 2002 respectively. Moderate Resolution Imaging Spectroradiometer satellite Normalized Difference Vegetation Index (NDVI) time-series data (2000-07) are used for all sites to characterise and track the seasonal and spatial changes in vegetation response. Post-fire trends and metrics for burned areas are evaluated and compared with unburned reference sites to account for the influence of local environmental conditions. Time-series data interpretation provides insights into climatic influences on the post-fire vegetation. Although only two sites show increases in post-fire vegetation, all sites show declines in heterogeneity across the site. The evaluation of land surface phenological metrics, including the start and end of the season, the base and peak NDVI, and the integrated seasonal NDVI, show promising results, indicating trends in some measures of post-fire phenology. Results indicate that this monitoring approach, based on readily available satellite-based time-series vegetation data, provides a valuable tool for assessing post-fire vegetation response.
机译:由于资源管理者在维持火后生态系统健康方面面临挑战,因此需要一种方法来评估干扰的生态后果。这项研究探讨了一种评估西班牙,以色列和美国分别于1998年,1999年和2002年燃烧的地点的火后植被动态变化的方法。中分辨率成像分光辐射计卫星归一化植被指数(NDVI)时间序列数据(2000-07)用于所有站点,以表征和跟踪植被响应的季节性和空间变化。评估燃烧后区域的火灾后趋势和指标,并将其与未燃烧参考点进行比较,以说明当地环境条件的影响。时间序列数据解释提供了对火灾后植被的气候影响的见识。尽管只有两个地点的火后植被增加,但所有地点的地点的异质性均下降。对陆地表面物候指标的评估,包括季节的开始和结束,NDVI的基数和峰值,以及综合的季节性NDVI,都显示出令人鼓舞的结果,表明火灾后物候的某些测量趋势。结果表明,这种监测方法基于现成的基于卫星的时间序列植被数据,为评估火后植被的响应提供了宝贵的工具。

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