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Forest disturbance assessment with Landsat data in Middle Volga region

机译:利用伏尔加河中部地区的Landsat数据进行森林干扰评估

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The study presents the results of multistage of classification using supervised algorithm of Maximum Likelihood toassessment the forest using of multitemporal Landsat (summer-autumn) images for mapping cover disturbance in MiddleVolga region. Analysis of the degree of forest cover disturbance was determined based on by biotic (fires, thematic mapof the state of forest cover) and complex factors (forest disturbance map using the Disturbance Index) for 1985-2014.Calculation of the influence degree (“weight index”) of each factor on the disturbance of forest cover was made. Theintegrated disturbance map was obtained based on a bivariate statistical analysis of raster data. The algorithm ofgeospatial analysis of thematic raster data allowed determining the degree of correlation between the indicators of therevealed violations of forest cover in the Middle Volga region and various factors affecting these violations. Forclassification and validation of thematic maps of forest cover disturbance was used test sites with independent field datafor each satellite Landsat image of middle spatial resolution. Cross-validated overall accuracies, ranged between 81-87%,showed high degree of agreement between the forest cover disturbance map and the ground truth data. Research resultscan be applied for the long term forest monitoring and development of forest management plan for the investigatedregion.
机译:研究提出了使用最大似然有监督监督算法进行多级分类的结果。 利用多时相Landsat(夏秋季)图像评估森林,以绘制中部的覆盖扰动图 伏尔加河地区。根据生物(火灾,专题图)确定对森林覆盖扰动程度的分析。 1985-2014年的森林覆盖状况)和复杂因素(使用干扰指数的森林干扰图)。 计算了每个因素对森林覆盖扰动的影响程度(“权重指数”)。这 基于栅格数据的双变量统计分析获得了综合扰动图。的算法 通过对专题栅格数据进行地理空间分析,可以确定各指标之间的相关程度。 揭示了伏尔加河中部地区森林被侵犯的情况以及影响这些破坏的各种因素。为了 使用具有独立野外数据的测试地点对森林覆盖扰动专题图进行分类和验证 每个具有中等空间分辨率的Landsat卫星图像。交叉验证的总体准确度在81%至87%之间, 在森林覆盖扰动图和地面真实数据之间显示出高度的一致性。研究成果 可用于长期森林监测和制定森林经营计划 地区。

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