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Wind erosion risk assessment using time-series ground cover and climate data

机译:使用时间序列地盖和气候数据进行风蚀风险评估

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This study explores approaches for wind erosion risk assessment utilising available time-series Moderate Resolution Imaging Spectroradiometer (MODIS) and climate products. We present a simple index and a rule-set based approach to identify wind erosion risk areas across Australian using time-series of ground cover, soil moisture and wind speed. These approaches and data sets were implemented in a geographic information system to produce wind erosion risk maps for Australia at 500 m resolution on a monthly basis for the recent eleven year period (2000-2010). These maps were compared with dust modelling (CEMSYS) and measurements from DustWatch network. Results demonstrate that time series of ground cover, soil moisture and wind speed can be jointly used to identify landscape erodibility and to map seasonal changes across Australia. The wind erosion risk maps can be used to assist in better targeting areas for investments and continuous monitoring, evaluation and reporting that will lead to reduced wind erosion and improved soil condition.
机译:本研究探讨了利用可用的时序中度分辨率成像分光仪(MODIS)和气候产品的风蚀风险评估方法。我们展示了一个简单的指数和基于规则集的方法,以使用时间系列地面覆盖,土壤水分和风速来识别澳大利亚风暴风险区域。这些方法和数据集在地理信息系统中实施,以便在最近的十一年(2000-2010)的每月按月为500米分辨率为澳大利亚的风侵蚀风险地图。将这些地图与灰尘建模(CEMSYS)进行比较,以及灰尘网络网络的测量。结果表明,地面覆盖,土壤水分和风速的时间序列可以共同用来识别景观易用性,并在澳大利亚映射季节性变化。风蚀风险地图可用于帮助更好的投资和持续监测,评估和报告的更好的瞄准领域,这将导致风蚀降低和改善土壤条件。

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