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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites
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Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites

机译:自1987年以来,高加索山脉的陆地覆盖变化基于多时间覆盖复合材料的地形校正

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摘要

Mountainous regions are changing rapidly across the world due to both land-use change and climate change. Given the importance of mountainous regions for ecosystem services and endemic biodiversity, monitoring these changes is essential. Satellite data provide a great resource to map land-cover change in mountainous regions, however mapping is especially challenging there because topographic complexity affects reflectance. The socalled 'topographic effect' has been successfully corrected for in case studies of small areas, but a comparison of large-area classifications and land-cover change analyses with and without topographic correction is missing. Here, we performed a long-term land-cover change assessment for a large mountainous region, i.e., the Caucasus Mountains with topographic correction. Our two goals were 1) to examine the effect of topographic correction on land-cover classification for a large mountainous region, and 2) to assess land-cover changes since 1987 across the Caucasus based on the full Landsat archive. Both the complex topography and the history of land-use changes, especially after the collapse of the Soviet Union in 1991, make the Caucasus Mountains an ideal study area to understand topographic effects on large-area land-cover mapping for the last three decades. First, we compared a non-topographically-corrected Landsat classification for 2015 with a classification that was topographically-corrected with an enhanced C-correction for the same year and assessed the accuracy of both. Second, we derived topographically-corrected Landsat classifications for six dates to assess changes in cropland and forest from 1987 to 2015, based on class probabilities and post-classification comparisons. In regard to our first goal, topographic correction improved the overall accuracy of the classification only by 2% (from 79 to 81%), but disagreement rates were as high as 100% in mountainous regions, especially among forest types. In regard to our second goal, we found that cropland loss was the most prevalent change process since 1987. Cropland loss was particularly widespread in Georgia and Armenia until 2000, and in Azerbaijan until 2005. The North Caucasus (the Russian Federation) had more stable cropland over time, most likely due to different land reforms after the collapse of the Soviet Union, and the prevalence of flat landscapes and very fertile soils, which make cultivation easier than in the South Caucasus. Rates of forest change throughout the Caucasus Mountains were surprisingly low, with forest loss and forest gain being roughly equal. Forest loss was most likely related to both illegal logging and natural disturbance, whereas forest gain was most likely due to cropland abandonment and less grazing pressure. Our results highlight both the importance and the feasibility of topographic correction for accurate large-area land-cover classifications in steep terrain.
机译:由于土地利用变化和气候变化,山区地区正在整个世界迅速变化。鉴于山区地区对生态系统服务和地方生物多样性的重要性,监测这些变化至关重要。卫星数据提供了山地地区地图陆地变化的良好资源,但是映射尤其具有挑战性,因为地形复杂性影响反射率。在对小区域的情况下,已经成功地纠正了Socalled的“地形效果”,但缺少了大面积分类和陆地调整分析的比较。在这里,我们对大型山区进行了长期的土地覆盖,即具有地形校正的高加索山脉。我们的两个目标是1)来检查地形更正对大山区的陆地覆盖分类,以及2)自1987年以来的基于完整Landsat档案的高加索评估土地覆盖变化。复杂的地形和土地利用史史,特别是在1991年苏联崩溃后,使高加索山成为了解过去三十年的大面积陆地覆盖映射的理想研究区。首先,我们比较了2015年的非全新教纠正的LANDSAT分类,并在同一年的增强的C纠正并评估了两者的准确性。其次,我们派生了六个日期的地形纠正的LANDSAT分类,以评估1987年至2015年农田和森林的变化,基于类概率和分类后比较。关于我们的第一个目标,地形校正只需2%(从79到81%的分类的整体准确性,但山区的分歧率高达100%,特别是森林类型。关于我们的第二个目标,我们发现自1987年以来,农田损失是最普遍的变革过程。农村损失在格鲁吉亚和亚美尼亚群体尤为普及,直到2000年,在阿塞拜疆到2005年。北高加索(俄罗斯联邦)越来越稳定农田随着时间的推移,最有可能由于苏联崩溃后的土地改革以及平坦的景观和非常肥沃的土壤,这使得培养比南高加索更容易。整个高加索山脉的森林变化率令人惊讶地低,森林损失和森林增益大致相等。森林损失最有可能与非法伐木和自然干扰有关,而森林收益最有可能因农田遗弃和减少压力而导致。我们的结果突出了地形校正的重要性和可行性,以便在陡峭地形中准确的大面积覆盖分类。

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