首页/数据集/Data for: Fluvial flood extent modeling using machine learning algorithms trained on benchmark flood maps: new insights for time-effective flood mapping

Data for: Fluvial flood extent modeling using machine learning algorithms trained on benchmark flood maps: new insights for time-effective flood mapping

Mendeley Data2026-04-18 收录

海岸洪水淹没预测

水文灾害机器学习建模

数据链接：

https://data.mendeley.com/datasets/7rzdwnxf9t 数据链接链接失效反馈

官方服务：

资源简介：

Input and resulting data.

应用场景：

创建时间：

2025-06-20

海岸洪水淹没预测

水文建模

This is a bundle of datasets, scripts and models, implemented in R programming language, to predict envelope flood extents using geomorphic and climatic-hydrologic catchment characteristics. It is sou

NIAID Data Ecosystem70

River Flood Maps (FRM_FH_RIVER_EXTENT_H)

河流洪水风险制图

海岸洪水淹没预测

The following probabilities are available for river flooding: - High - 10 year return period - Medium - 200 year return period - Low - 1000 year return period and 200 year return period plus...

data.gov.uk2024-11-07 更新40

Fine resolution flood forecasts and hindcast of Hurricane Harvey for Harris County, TX using PRIMo

海岸洪水淹没预测

城市洪水应急管理

Urban flooding from extreme precipitation has emerged as a major threat to metropolitan regions of the United States. There is a pressing need for flood inundation forecasts capable of meeting emergen

NIAID Data Ecosystem20

Honolulu, Hawaii Tsunami Forecast Grids for MOST Model

海啸数值模拟

海岸洪水淹没预测

The Honolulu, Hawaii Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation

DataCite Commons2024-05-17 更新50

Mayaguez, Puerto Rico Tsunami Forecast Grids for MOST Model

海啸数值模拟

海岸洪水淹没预测

The Mayaguez, Puerto Rico Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simula

DataCite Commons2024-05-17 更新30

Data for: Fluvial flood extent modeling using machine learning algorithms trained on benchmark flood maps: new insights for time-effective flood mapping

资源简介：

相关数据集