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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Development and Validation of Fire Damage-Severity Indices in the Framework of the PREFER Project
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Development and Validation of Fire Damage-Severity Indices in the Framework of the PREFER Project

机译：在PREFER项目框架内制定和验证火灾损害严重性指标

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摘要

PREFER (space-based information support for prevention and recovery of forest fires emergency in the Mediterranean area) is one of the Copernicus FP7 Emergency projects funded in 2012. It is uniquely devoted to forest pre- and post-fire management. The overall goal of the project is to develop and demonstrate a preoperational portfolio of products, based on Earth observation data for helping fire management on a Mediterranean scale. Samples of the PREFER information products are available to stakeholders through the project Geoserver (prefer.cgspace.it). The project foresees the utilization of satellite images’ optical and SAR at medium (MODIS—moderate resolution imaging spectroradiometer), high (Landsat, Spot-Satellite Pour l’Observation de la Terre), and very high (KOMPSAT—Korea Multi-Purpose Satellite, RapidEye, Pleiades, COSMO-SkyMed—constellation of small satellites for Mediterranean basin observation, and TanDEM-X—TerraSAR-X add on for digital elevation measurement) spatial resolution, and a refresh rate of the products varying from high (days) to low (twice a month) to very low (once a year). The present paper is devoted to introducing the methodology developed for computing one of the project product, i.e., the damage-severity map. These maps provide the level of damage caused in vegetated areas by fires. Further, the paper aims at presenting the results of the validation of such product carried out during the first semester of 2015. The methodology is based on the utilization of Landsat8/OLI images.
机译：PREFER（用于预防和恢复地中海地区森林火灾紧急情况的天基信息支持）是2012年资助的哥白尼FP7紧急项目之一。该项目专门致力于森林火灾前和火灾后的管理。该项目的总体目标是根据地球观测数据开发和演示预运行产品组合，以帮助在地中海范围内进行火灾管理。可以通过项目Geoserver（prefer.cgspace.it）向涉众提供PREFER信息产品的样本。该项目预计将在中等（MODIS –中分辨率成像分光辐射仪），高（陆地卫星，卫星实况观测卫星）和极高（KOMPSAT –韩国多用途卫星）中利用卫星图像的光学和SAR ，RapidEye，Pleiades，COSMO-SkyMed（用于地中海盆地观测的小型卫星星座）和TanDEM-X-TerraSAR-X（用于数字高程测量）的空间分辨率以及产品的刷新率从高（天）到低（每月两次）到非常低（一年一次）。本文致力于介绍为计算项目产品之一即损害严重程度图而开发的方法。这些地图提供了火灾在植被区造成的破坏程度。此外，本文旨在介绍在2015年上半年对此类产品进行的验证结果。该方法基于Landsat8 / OLI图像的利用。

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