...
首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Use of NOAA-AVHRR NDVI images for the estimation of dynamic fire risk in Mediterranean areas
【24h】

Use of NOAA-AVHRR NDVI images for the estimation of dynamic fire risk in Mediterranean areas

机译:使用NOAA-AVHRR NDVI图像估算地中海地区的动态火灾风险

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Wildfires are a major cause of land degradation in the Mediterranean region due to their frequent recurrence in the same areas. The evaluation of fire risk is therefore of high practical importance, particularly during the summer and season, when fires are most frequent and harmful. Recent studies have demonstrated that the evaluation of dynamic fire risk can be carried out by the use of remotely sensed images, and specifically of NOAA-AVHRR Normalized Difference Vegetation Index (NDVI) data. This use relies on the sensitivity of the index to vegetation dryness, which is a major predisposing factor for fire occurrence. Several problems, however, remain linked to the spatial variability of the risk in environmentally heterogeneous areas, which requires the application of suitable processing techniques to the low-resolution imagery. The current work reports on the development and testing of different methodologies for estimating dynamic fire risk by the use of NOAA-AVHRR data. The investigation was conducted in Tuscany (Central Italy) using a large archive of fires that occurred in the region and NOAA-AVHRR NDVI data of 16 years (1985-2000). Relying on previous methodological achievements of our group and other research groups, several procedures were tested to extract information related to fire risk from the remotely sensed images. These trials led to define an optimum method which is based on the identification of pixels where the accordance between interyear variations in fire probabilities and NDVI values is maximum. The accuracy of the risk estimates from this optimum method was finally evaluated by a leave-one-out cross-validation strategy. In this way, the performance of the methodology was assessed, together with its potential for operational fire risk monitoring and forecasting in Mediterranean areas. (C) 2003 Elsevier Science Inc. All rights reserved. [References: 43]
机译:野火是地中海地区土地退化的主要原因,因为野火在同一地区经常发生。因此,火灾风险的评估具有很高的实际意义,尤其是在夏季和旺季,火灾最频繁且最有害的时候。最近的研究表明,可以通过使用遥感图像,尤其是NOAA-AVHRR归一化植被指数(NDVI)数据来评估动态火灾风险。这种使用依赖于该指数对植被干燥的敏感性,这是引发火灾的主要诱因。但是,仍有几个问题与环境异质性区域中风险的空间变异性相关,这要求将适当的处理技术应用于低分辨率图像。本工作报告了使用NOAA-AVHRR数据开发和测试不同方法以估算动态火灾风险的方法。这项调查是在托斯卡纳(意大利中部)进行的,使用了该地区发生的大火以及NOAA-AVHRR NDVI 16年(1985-2000年)的数据。依靠我们小组和其他研究小组以前的方法学成就,对几种程序进行了测试,以从遥感图像中提取与火灾危险有关的信息。这些试验导致确定一种最佳方法,该方法基于像素的识别,其中火灾概率的年际变化与NDVI值之间的依从性最大。最终,通过留一法交叉验证策略对这种最佳方法进行风险估算的准确性进行了评估。通过这种方式,评估了该方法的性能,以及其在地中海地区进行运营火灾风险监测和预测的潜力。 (C)2003 Elsevier Science Inc.保留所有权利。 [参考:43]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号