GEOtiled: A Scalable Workflow for Generating Large Datasets of High-Resolution Terrain Parameters
GEOtiled: A Scalable Workflow for Generating Large Datasets of High-Resolution Terrain Parameters
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GEOtiled：用于生成高分辨率地形参数大型数据集的可扩展工作流程
DOI：
10.1145/3588195.3595941
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Taufer, Michela
中科院分区：
文献类型：
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作者：
Roa, Camila;Olaya, Paula;Llamas, Ricardo;Vargas, Rodrigo;Taufer, Michela
地形参数，如坡度、坡向和山体阴影，在农业、林业和水文学等各种应用中都是必不可少的。然而，生成高分辨率的地形参数是计算密集型的，这使得向有需要的社区提供这些增值产品具有挑战性。我们提出了一个可扩展的名为GEOTILED的工作流，它利用数据分区来加快从数字高程模型计算地形参数的速度，同时保持精度。我们通过与SAGA和GDAL进行比较来评估我们的工作流的准确性和运行时间，SAGA非常准确，但生成结果的速度很慢，GDAL支持内存优化，但不支持数据并行。我们获得了GEOTILED和SAGA之间的决定系数(R^2)为0.794，确保了我们的地形参数的准确性。与GDAL相比，当生成连续的美国(CONUS)的高分辨率(10米)地形参数时，我们获得了X6的加速比。
Terrain parameters such as slope, aspect, and hillshading are essential in various applications, including agriculture, forestry, and hydrology. However, generating high-resolution terrain parameters is computationally intensive, making it challenging to provide these value-added products to communities in need. We present a scalable workflow called GEOtiled that leverages data partitioning to accelerate the computation of terrain parameters from digital elevation models, while preserving accuracy. We assess our workflow in terms of its accuracy and wall time by comparing it to SAGA, which is highly accurate but slow to generate results, and to GDAL, which supports memory optimizations but not data parallelism. We obtain a coefficient of determination (R^2) between GEOtiled and SAGA of 0.794, ensuring accuracy in our terrain parameters. We achieve an X6 speedup compared to GDAL when generating the terrain parameters at a high-resolution (10 m) for the Contiguous United States (CONUS).
使用模块化空间推理框架缩小卫星土壤湿度
影响因子：
5
作者：
Llamas, Ricardo M.;Valera, Leobardo;Olaya, Paula;Taufer, Michela;Vargas, Rodrigo
通讯作者：
Vargas, Rodrigo
SOMOSPIE：基于数据驱动决策的模块化土壤湿度空间推理引擎
DOI：
10.1109/escience.2019.00008
发表时间：
2019
期刊：
2019 15th International Conference on eScience (eScience)
影响因子：
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作者：
Danny Rorabaugh;M. Guevara;R. Llamas;J. Kitson;R. Vargas;M. Taufer
通讯作者：
M. Taufer