江苏历史近实时河流流量动态监测MSGRs数据

（一）洪涝灾害监测
在洪涝灾害期间，可提供洪水范围监测、洪水行进路线预测、溃口决堤监测、退水分析等能力；提供水文和水动力耦合模型综合洪水近实时观测、绘制历史和未来洪水AEP图、建立短期，中期和长期的洪水预报模型，为灾害管理提供决策支持；
（二）水资源管理
实现基于遥感的全流域水资源量的估算分析，并基于地物分类成果，实现了对农业、工程、生态、生活等不同需水类型的估算，为流域水资源供给平衡分析提供了数据支撑；
（三）河湖生态补水
实现对河流、湖泊、水库、坑塘等水域面积、水储量、历史长时序水面变化调查和高频次动态变化调查等方向的水资源基础调查的监测需；
（四）水利空间数据底板的动态更新
基于卫星遥感数据的生产，对数据底板进行周期性更新；
（五）构建、补足天空地一体化的流域水文监测站网
在缺乏地面监测区域、无实测值区域，提供了动态监测河流流量的手段，为该区域水文研究和水资源管理提供数据支持。（一）获取数据
采用MODIS遥感卫星数据，选择时间范围【监测时间】、空间范围【经度、纬度】。获取得到高光谱波段、高时间分辨率，和大范围覆盖的近实时测量值。
（二）算法规则
选取【水系ID】【流域ID】确定地表水范围，选取【平均流量】【最大流量】确定与模拟流量相关性强的MODIS像元，在0.55°×0.55°的搜索窗口中，利用W3模型的地表水范围与河流流量关联模型（MSGRs），进行观测分析和水范围估算。并通过Spearman和Pearson相关系数评估模型算法的性能。选取【监测时间】进行时间交叉验证，得到该区域内的预测河流流量【监测流量】。

(1) Flood Disaster Monitoring
During flood disasters, this dataset provides capabilities including flood extent monitoring, flood travel route prediction, breach monitoring, and recession analysis. It integrates hydrological and hydrodynamic coupled models to generate near-real-time observations of comprehensive flood events, plots historical and future flood AEP (Annual Exceedance Probability) maps, and establishes short-term, medium-term, and long-term flood forecast models, offering decision support for disaster management.

(2) Water Resources Management
It realizes the estimation and analysis of full-basin water resources based on remote sensing data. Combined with land cover classification results, it estimates water demand of different types including agricultural, engineering, ecological, and domestic water use, providing data support for watershed water supply balance analysis.

(3) Ecological Water Replenishment for Rivers and Lakes
It meets the monitoring requirements of basic water resources surveys covering water area surveys (such as rivers, lakes, reservoirs, and ponds), water storage capacity surveys, long-term time-series changes in water surfaces, and high-frequency dynamic water surface change surveys.

(4) Dynamic Update of Water Conservancy Spatial Data Baseplate
Based on the production of satellite remote sensing data, the water conservancy spatial data baseplate is updated periodically.

(5) Construction and Supplement of Sky-Ground-Integrated Watershed Hydrological Monitoring Station Network
In areas lacking ground monitoring or without in-situ measured data, it provides a method for dynamic river flow monitoring, offering data support for hydrological research and water resources management in these regions.

(1) Data Acquisition
MODIS remote sensing satellite data is adopted, with the time range [monitoring time] and spatial range [longitude, latitude] selected. Near-real-time measurement values with hyperspectral bands, high temporal resolution, and wide coverage are acquired.

(2) Algorithm Rules
Determine the surface water extent by selecting [Water System ID] and [Watershed ID]; identify MODIS pixels with strong correlation to simulated flow by selecting [Average Flow] and [Maximum Flow]. Within a 0.55° × 0.55° search window, the surface water extent-river flow correlation model (MSGRs) of the W3 model is used for observational analysis and water extent estimation. The performance of the model algorithm is evaluated using Spearman's and Pearson's correlation coefficients. Temporal cross-validation is conducted with [monitoring time] to obtain the predicted river flow [Monitored Flow] for this region.

搜集汇总

数据集介绍

特点

江苏历史近实时河流流量动态监测MSGRs数据集包含1081条数据，每8天更新一次，主要用于洪涝灾害监测、水资源管理和河湖生态补水等应用场景。数据来源于多来源，采用MODIS遥感卫星数据和W3模型进行观测分析和水范围估算。