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A River Basin over the Course of Time: Multi-Temporal Analyses of Land Surface Dynamics in the Yellow River Basin (China) Based on Medium Resolution Remote Sensing Data

机译:时代河流流域:基于中分辨率遥感数据的黄河流域地表动态多时间分析

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摘要

The Yellow River Basin is one of China's most densely-populated, fastest growing and most dynamic regions, with abundant natural resources and intense agricultural production. Major land policies have recently resulted in remarkable landscape modifications throughout the basin. The availability of precise regional land cover change information is crucial to better understand the prevailing dynamics and underlying factors influencing the current processes in such a complex system and can additionally serve as a valuable component for modeling and decision making. Such comprehensive and detailed information is lacking for the Yellow River Basin so far. In this study, we derived land cover characteristics and dynamics from the complete last decade based on optical high-temporal MODIS Normalized Differenced Vegetation Index (NDVI) time series for the whole Yellow River Basin. After filtering and smoothing for noise reduction with the use of the adaptive Savitzky-Golay filter, the processed time series was used to derive a large variety of phenological and annual metrics. The final classifications for the basin (2003 and 2013) were based on a random forest classifier, trained by reference samples from very high-resolution imagery. The accuracy assessment for all 18 thematic classes, which was based on a 30% reference data split, yielded an overall accuracy of 87% and 84% for 2003 and 2013, respectively. Major land cover and land use changes during the last decade have occurred on the Loess Plateau, where land and conservation reforms triggered large-scale recovery of grassland and shrubland habitat that had been previously covered by agriculture or sparse vegetation. Agricultural encroachment and urban area expansion are other processes influencing the dynamics in the basin. The necessity for regionally-adapted land cover maps becomes obvious when our land cover products are compared to existing global products, where thematic accuracy remains low, particularly in a heterogeneous landscape, such as the Yellow River Basin. The basin-wide novel land cover and land use products of the Yellow River Basin hold a large potential for climate, hydrology and biodiversity modelers, as well as river basin and regional governmental authorities and will be shared upon request.
机译:黄河流域是中国人口最稠密,增长最快,最具活力的地区之一,自然资源丰富,农业生产集约化。最近的主要土地政策导致整个流域的景观发生了显着变化。精确的区域土地覆被变化信息的可用性对于更好地了解影响这种复杂系统中当前流程的主要动态和潜在因素至关重要,并且可以作为建模和决策的重要组成部分。到目前为止,黄河流域尚缺乏这种全面而详细的信息。在这项研究中,我们基于整个黄河流域的光学高温MODIS归一化差异植被指数(NDVI)时间序列,从近十年来的整个土地覆盖特征和动态推导得出。在使用自适应Savitzky-Golay滤波器进行滤波和平滑以降低噪声之后,使用处理后的时间序列来得出各种各样的物候和年度指标。流域的最终分类(2003年和2013年)基于随机森林分类器,并由来自高分辨率图像的参考样本进行训练。根据30%的参考数据划分,对所有18个主题类别的准确性评估分别得出2003和2013年的整体准确性分别为87%和84%。在过去的十年中,黄土高原发生了重大的土地覆盖和土地利用变化,那里的土地和保护改革引发了草原和灌木丛生境的大规模恢复,而这些原本是由农业或稀疏植被覆盖的。农业入侵和城市扩张是影响流域动态的其他过程。当将我们的土地覆盖产品与现有的全球产品进行比较时,就需要适应地区的土地覆盖图,因为全球产品的主题精度仍然很低,尤其是在黄河流域等异质景观中。黄河流域全流域范围内新颖的土地覆盖和土地利用产品具有很大的潜力,可为气候,水文和生物多样性建模人员以及流域和地区政府机构提供服务,并将根据要求共享。

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