泥炭地卫星监测技术,以确定其火灾危险和燃烧风险

Lyidmila Lischenko, R. Shevchuk, V. Filipovich
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引用次数: 1

摘要

乌克兰波利西亚春季和秋季的长期干旱越来越频繁,这导致火灾,特别是在泥炭地,这对人类健康和整个生态系统都是危险的。预测这种自然和人为紧急情况的风险需要监测目前的情况。卫星监测提供了灾难的准确信息,并允许实际估计损失的数量。本文探讨了泥炭地监测应考虑的因素,并结合传统的统计数据和野外测量,探讨了多光谱卫星数据(Landsat、Sentinel系列)的处理方法。提出了进行研究的工艺框图。为了评估风险,确定了在卫星数据的帮助下可以在大面积上同时获得的数值:泥炭土壤湿度、泥炭地表温度、光谱指数(水、土壤)、蒸散发;定义了火灾风险最大的季节,以及与人为影响相关的风险(靠近定居点,农业试验,干草田,粗心处理火灾和纵火)。泥炭地的状况根据制定的标准进行诊断,并按四个火灾风险级别进行评估——严重、高、低和不显著。光谱指数研究表明,利用SAVI土壤指数结合地表温度分析,可以实时准确地绘制出火灾区域和火情。为了预测火灾情况的发生,提出了将归一化差分水指数(NDWI)的两种变体与热成像相结合的方法。测试地点提供了诊断泥炭地火灾和燃烧区域的例子,以及预测需要地方当局密切关注的火灾危险情况的例子。提出了预防与泥炭地燃烧有关的紧急情况的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The technique for satellite monitoring of peatlands in order to determinate their fire hazard and combustion risks
Prolonged dry periods in spring and autumn, which are becoming more frequent for the Ukrainian Polissya, contribute to fires, especially in peatlands, that are dangerous for human health and ecosystems in general. Forecasting the risk of such natural and anthropogenic emergencies requires monitoring of current situations. Satellite monitoring provides an accurate information of the disaster and allows to realistically estimate the amount of damage. The article investigates the factors to be taken into account in peatlands monitoring and considers methods of processing of multispectral satellite data (Landsat, Sentinel series) in combination with traditional statistics data and field measurements. The technological diagram for making the studies is proposed. To assess the risks, the values that can be obtained simultaneously with the help of satellite data on large areas are determined: peat soil moisture, peat surface temperature, spectral indices (water, soil), evapotranspiration; the seasons of the greatest risks of fires are defined, and also risks associated with anthropogenic impact (proximity to settlements, agricultural trials, hayfields, careless handling of fire and arson). The condition of peatlands is diagnosed according to the developed criteria and assessed by four levels of fire risk - critical, high, low and insignificant. The study of spectral indices showed that with the help of the SAVI soil index in combination with the analysis of surface temperature, the burned areas and fires are accurately mapped in real-time. To predict the occurrence of fire situations, the use of two variants of the normalized differential water index (NDWI) in combination with thermal imaging is proposed. The test sites provide examples of diagnosing fires and burned areas in peatlands, as well as examples of forecasting fire hazards situations that require close attention of local authorities. Recommendations are given to prevent emergencies related to the burning of peatlands.
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