利用Sentinel-2数据进行火灾风险分析：意大利坎帕尼亚维苏威火山案例研究
Fire Risk Analysis By Using Sentinel-2 Data: The Case Study Of The Vesuvius In Campania, Italy
摘要：
众所周知，森林火灾是一系列自然灾害的一部分，这些自然灾害总是影响世界上典型的热带气候和长期干旱地区。然而，由于近年来的气候变化，地球上未受这一瘟疫影响的其他地区也不得不应对这一现象。其中之一当然是意大利半岛，特别是意大利南部地区。因此，科学界，特别是遥感界，在开发可靠技术以向主管当局提供有益支持方面发挥着重要作用。因此，在这项工作中，评估了来自星载遥感（RS）数据的归一化差分水指数（NDWI）的能力，以监测2017年夏季特定研究区域发生的森林火灾：那不勒斯附近的维苏威火山（意大利坎帕尼亚）。特别是，该索引是从欧洲航天局（欧空局）的哨兵-2多光谱图像中获得的，这些图像是免费的，可供公众查阅。此外，双Sentinel-2（S-2）传感器可以克服时间传递和高频观测的一些限制。这些要求与其他星载传感器（如MODIS和VIIRS卫星）相当，但代价是空间分辨率较低。
英文摘要：
As sadly known, forest fires are part of a set of natural disasters that have always affected regions of the world typically characterized by a tropical climate with long periods of drought. However, due to climate changes of the recent years, other regions of our planet that were not affected by this plague have also had to deal with this phenomenon. One of them is certainly the Italian peninsula, and especially the regions of southern Italy. For this reason, the scientific community, and in particular that one of the remote sensing, plays an important role in the development of reliable techniques to provide useful support to the competent authorities. Therefore, in this work, the capability of the Normalized Differential Water Index (NDWI), derived from spaceborne remote sensing (RS) data, is assessed to monitor the forest fires occurred on a specific study area during the summer of 2017: the volcano Vesuvius, near Naples (in Campania, Italy). In particular, the index is obtained from Sentinel-2 multispectral images of the European Space Agency (ESA), which are free of charge and open accessible. Moreover, the twin Sentinel-2 (S-2) sensors allows to overcome some restrictions on time delivery and high frequency observation. These requirements are goodly matched by other spaceborne sensors, such as MODIS and VIIRS satellites, but at the expense of a lower spatial resolution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
