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Woody cover mapping in the savanna ecosystem of the Kruger National Park using Sentinel-1 C-Band time series data

机译:伍迪封面在克鲁格国家公园的大草原生态系统中使用Sentinel-1 C波段时间序列数据

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The savanna ecosystems in South Africa, which are predominantly characterised by woody vegetation (e.g. shrubs and trees) and grasslands with annual phenological cycles, are shaped by ecosystem processes such as droughts, fires and herbivory interacting with management actions. Therefore, monitoring of the intra- and inter-annual vegetation structure dynamics is one of the essential components for the management of complex savanna ecosystems such as the Kruger National Park (KNP). To map the woody cover in the KNP, data from European Space Agency’s (ESA) Copernicus Sentinel-1 radar satellite (C-Band vertical–vertical [VV]/vertical–horizontal [VH]) for the years 2016 and 2017, at 10 m spatial resolution and repeated acquisitions every 12 days, were utilised. A high-resolution light detection and ranging (LiDAR) data set was reclassified to produce woody cover percentages and consequently used for calibration and validation. Woody cover estimation for different spatial resolutions was carried out by fitting a random forest (RF) model. Model accuracy was assessed via spatial cross-validation and revealed an overall root mean squared error (RMSE) of 22.8% for the product with a spatial resolution of 10 m and improved with spatial averaging to 15.8% for 30 m, 14.8% for 50 m and 13.4% for 100 m. In addition, the product was validated against a second LiDAR data set, confirming the results of the spatial cross-validation of the model. The methodology of this study is designed for savanna vegetation structure mapping based on height estimates by using open-source software and open-access data, to allow for a continuation of woody cover classification and change monitoring in these types of ecosystems. Conservation implications: Information about the state and changes in woody cover are important for park management and conservation efforts. Both increasing (e.g. because of atmospheric carbon fertilisation) and decreasing (e.g. because of elephant impact) woody cover patterns will have cascading effects on other ecosystem processes such as fire and herbivory.
机译:南非的大草原生态系统主要是由木质植被(例如灌木和树木)和具有年鉴性循环的草原,由生态系统过程等生态系统,如干旱,火灾和草食性与管理行动互动。因此,监测年间植被和年间植被结构动态是管理复杂的大草原生态系统等基本组成部分之一,例如克鲁格国家公园(KRUGER国家公园(KNP)。要在KNP中映射Woody封面,来自欧洲航天局(ESA)Copernicus Sentinel-1雷达卫星的数据(C波段垂直 - 垂直[VV] /垂直 - 水平[VH])在10年,10使用每12天的空间分辨率和重复收购,并进行一次。重新分类以生产木质盖百分比并因此用于校准和验证的高分辨率光检测和测距(LIDAR)数据集。通过拟合随机森林(RF)模型进行不同空间分辨率的木质覆盖估计。通过空间交叉验证评估模型精度,并显示出具有10μm的空间分辨率的产品的总根性平均平方误差(RMSE),并且在30米的空间平均值增加到15.8%,为50米的空间平均值增加14.8% 100米的13.4%。此外,该产品验证了第二个激光雷达数据集,确认了模型的空间交叉验证的结果。本研究的方法是根据使用开源软件和开放访问数据的高度估计的大草原植被结构映射,以允许在这些类型的生态系统中继续进行木质覆盖分类和改变监测。保护意义:有关国家和木质封面变化的信息对于公园管理和保护努力是重要的。既增加(例如,由于大气碳施肥)和减少(例如,由于大象冲击)木质覆盖图案将对其他生态系统过程(如火及草食病)具有级联影响。

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