Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019

This data set contains satellite-derived information on geomorphic river mobility for ten catchments in the Philippines. We applied the locational probability approach to map the proportion of time that a river channel occupies a particular location. We quantified satellite-derived locational probabilities for 600 km2 of riverbed. The information is useful for predicting and developing resilience to river-related hazards in dynamic landscapes.

We provide example Google Earth Engine (GEE) and MATLAB codes to replicate satellite-derived locational probability analyses, and provide outputs for each catchment. Data sets include: (1) example GEE codes to run satellite imagery analyses; (2) example MATLAB codes and data to generate locational probabilities; (3) example MATLAB codes and data to produce longitudinal analyses; and, (4) processed locational probability outputs for the ten catchments.

The work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312.

本数据集涵盖菲律宾10个流域的卫星遥感河流地貌活动性信息。我们采用位置概率法，绘制河道占据特定位置的时间占比分布图。针对600平方千米的河床区域，我们量化了卫星遥感获取的位置概率。该数据集可用于预测动态景观中的河流相关灾害，并提升应对此类灾害的韧性。
我们提供可复现卫星遥感位置概率分析的Google Earth Engine（GEE）与MATLAB示例代码，并为每个流域提供分析结果。数据集包含以下内容：(1) 用于运行卫星影像分析的GEE示例代码；(2) 用于生成位置概率的MATLAB示例代码及配套数据集；(3) 用于开展纵向分析的MATLAB示例代码及配套数据集；以及(4) 10个流域的经处理的位置概率输出结果。
本研究由自然环境研究委员会（NERC）与菲律宾科学技术部-工业、能源与新兴技术研究与发展委员会（DOST-PCIEERD）资助，项目为牛顿基金资助课题NE/S003312。