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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >On the Mapping of Burned Areas and Burn Severity Using Self Organizing Map and Sentinel-2 Data
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On the Mapping of Burned Areas and Burn Severity Using Self Organizing Map and Sentinel-2 Data

机译：在烧毁区域的映射和使用自组织地图和Sentinel-2数据烧伤严重性

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摘要

In this letter, we propose an approach based on the use of Sentinel-2 spectral indices and self-organizing map (SOM) to automatically map burned areas and burned severity. These analyses were performed on a test area in Chania, located in Crete, affected by a fire (around 200 ha) that occurred from July 13, 2018 to July 28, 2018. The investigated area is characterized by heterogeneous land cover types made up of natural and agricultural lands. To identify different levels of fire severity without using fixed thresholds, we applied SOM to the three spectral indices normalized difference vegetation index (NDVI), normalized burn ratio (NBR), and burned area index for sentinel (BAIS) used to enhance burned areas. This is a particular critical issue because fixed threshold values are generally not suitable for fragmented landscapes, vegetation types, and geographic regions different from those for which they were devised. To cope with this issue, the methodological approach herein proposed is based on three steps: 1) indices computation; 2) maps of the difference of the three indices computed using the data acquired from prefire and postfire occurrences; and 3) unsupervised classification obtained processing all the difference maps using the SOM. The obtained results were validated using an independent data set, which showed high correlation with satellite-based fire severity.
机译：在这封信中，我们提出了一种基于使用Sentinel-2光谱索引和自组织地图（SOM）来自动映射烧毁区域和烧伤严重性的方法。这些分析是对位于克里特岛的Chania的测试区进行，受到火灾影响的克里特（大约200公顷），该区域于2018年7月13日至2018年7月28日。调查区域的特点是由非均匀的土地覆盖类型组成自然和农业土地。为了识别不同级别的火灾严重程度而不使用固定阈值，我们将SOM应用于三个光谱索引归一化差异植被指数（NDVI），归一化烧伤比（NBR），以及用于增强烧毁区域的哨兵（BAIS）的烧伤区域指数。这是一个特定的关键问题，因为固定阈值通常不适用于分散的景观，植被类型和地理区域，以及它们的设计不同的地理区域。为了应对这个问题，本文提出的方法方法基于三个步骤：1）指数计算; 2）使用从前缀和后火灾发生的数据计算的三个指数的差异的映射; 3）使用SOM处理处理所有差异映射的无监督分类。使用独立数据集进行验证所得结果，其显示与基于卫星的火灾严重程度高的相关性。

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