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Exploring the use of spectral indices to assess alterations in soil properties in pine stands affected by crown fire in Spain

机译:探讨光谱指标的使用,以评估受西班牙皇冠火灾影响的松树架的土壤特性改变

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Forest fires have increased in extent and intensity in the Mediterranean area in recent years, threatening forest ecosystems through loss of vegetation, changes in soil properties, and increased soil erosion rates, particularly in severely burned areas. However, establishing the relationships between burn severity and soil properties that determine infiltration remain challenging. Determining where soil burn severity evaluation should be carried out is critical for planning urgent measures to mitigate post-fire soil erosion. Although previous research has indicated that spectral indices are suitable for assessing fire severity, most of the classifications used consider combined effects in vegetation and soil. Moreover, the relationship between spectral indices and soil burn severity has scarcely been explored until now. We selected three pine stands in Spain for study immediately after being burned by wildfires. We analyzed various soil properties (soil saturated hydraulic conductivity, mean weight diameter of soil aggregates, and soil organic carbon) in relation to six levels of soil burn severity in all three stands. In addition, we established 25 field plots in the burned areas. We computed ten spectral indices for each plot by using Sentinel-2 satellite data. The soil burn severity categories indicated the degree of degradation of important soil properties related to soil erosion susceptibility. Of the spectral indices considered, the relativized burn ratio (RBR) was the best predictor of cumulative infiltration and mean weight diameter of soil aggregates. The differenced mid-infrared bispectral index (dMIRBI) was most closely correlated with soil organic carbon content. The findings demonstrate the potential applicability of remote sensing to determining changes in soil properties after fire.
机译:森林火灾在近年来地中海地区的程度和强度增加,威胁森林生态系统通过植被丧失,土壤性质的变化以及增加土壤侵蚀率,特别是在严重烧毁的地区。然而,建立烧伤严重程度和土壤性质之间的关系,确定渗透仍然具有挑战性。确定应对土壤烧伤严重程度评估的何处对规划迫切措施减轻火灾后土壤侵蚀至关重要。尽管以前的研究表明,光谱指数适合评估火灾严重程度,但大多数分类考虑了植被和土壤中的组合效果。此外,频谱指数与土壤烧伤严重程度之间的关系几乎没有探索。我们选择了三个松树在野火燃烧后立即学习。我们分析了各种土壤烧伤严重程度的各种土壤性质(土壤饱和液压导电,土壤骨料的平均重量直径,土壤有机碳)。此外,我们在烧毁的区域建立了25个场地。我们通过使用Sentinel-2卫星数据计算每个绘图的十个光谱索引。土壤烧伤严重程度类别表明了与土壤腐蚀易感性有关的重要土壤性质的降解程度。考虑的光谱索引,相对化烧伤比(RBR)是累积渗透的最佳预测因子,并且土壤聚集体的平均重量直径。差异的中红外双光谱指数(DMIRBI)与土壤有机碳含量最密切相关。该研究结果表明了遥感对火灾后土壤性质的变化的潜在适用性。

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