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首页> 外文期刊>Applied Geography >Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas
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Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas

机译：基于茂密的Landsat时间序列的黄河流域多方面覆盖和土地利用变化分析：采矿，农业，森林和城市地区的示范分析

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摘要

The Yellow River Basin is one of China's most dynamic regions, where past and recent anthropogenic land use activities and polices have had a remarkably impact on the basin's surface. Over the past decades, the rapid socio-economic development has increased the pressure on the prevailing water and land resources with various repercussions on the environment and society. Counteracting ecological degradation in the basin, large-scale conservation and restoration plans have been initiated to expand vegetation coverage on deteriorated land, simultaneously fostering rural sustainable agriculture production. In this context, we derived precise spatial thematic products from long-term satellite time series about high-frequency temporal dynamics. This information, available in a consistent and repeatable fashion is rare and relevant for many regional and local stakeholders and must be monitored annually to capture the rapid rate of change. Such information serves as a valuable base for decision making processes. In this study, we used all the archived Landsat images between 2000 and 2015 (4520 scenes) to computed annually the spatially continuous spectral-temporal and textual metrics based on dense Landsat time-series to derive annual maps showing the most prominent land-cover change types related to mining, agriculture, forestry, and urbanization in four sub-regions spread over the Yellow River Basin. These novel land cover/use products provide new insights into recent regional and local dynamics. For final classification, we employed random forest classifiers for each thematic focus-region, trained and tested based on a stable-pixels data set. The resulting maps achieved high accuracies and show afforestation on the Loess Plateau and urbanization as the most prominent drivers of land use/cover dynamics. Agricultural land remained stable, showing local small-scale dynamics. Our study highlights the great potential of using consistent spectral-temporal metrics derived from dense Landsat time-series data together with a stable pixels reference set, allowing for local and regional land surface dynamics mapping at high spatial resolution and the prediction of implications of future change for effective and sustainable basin management. (C) 2017 Elsevier Ltd. All rights reserved.
机译：黄河流域是中国最具活力的地区之一，过去和最近的人为土地利用活动和政策对盆地的表面产生了显着影响。在过去的几十年中，快速的社会经济发展增加了对环境和社会各种影响的普遍水和土地资源的压力。抵消了盆地的生态退化，已经启动了大规模保护和恢复计划，以扩大恶化的土地植被覆盖，同时培养农村可持续农业生产。在这方面，我们从长期卫星时间序列衍生精确的空间专题产品关于高频时间动态。这些信息以一致和可重复的方式提供罕见，对许多区域和当地利益相关者来说都是罕见的，并且必须每年监测以捕获快速变化率。此类信息用作决策过程的有价值的基础。在本研究中，我们使用了2000和2015年（4520场景）之间的所有存档的Landsat图像，每年计算基于密集的Landsat时间系列的空间连续的频谱 - 时间和文本度量，以获得显示最突出的陆地变化的年度地图与矿业，农业，林业和城市化有关的类型，四个子地区蔓延在黄河流域。这些新颖的土地覆盖/使用产品为最近的区域和局部动态提供了新的见解。对于最终分类，我们为每个主题焦点区域使用随机林分类器，基于稳定像素数据集进行培训和测试。由此产生的地图在黄土高原和城市化上实现了高精度和显示造林，作为土地使用/覆盖动态最突出的驱动因素。农业用地保持稳定，显示本地小规模动态。我们的研究突出了使用从密集的LANDSAT时间序列数据的一致频谱时间指标以及稳定的像素参考集，允许在高空间分辨率下映射和未来变化的影响预测有效和可持续的盆地管理。 （c）2017 Elsevier Ltd.保留所有权利。

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