重庆市多源融合土壤湿度数据产品及应用分析  

Analysis of Multi-source Fused Soil Moisture Data Products and Applications in Chongqing

作　　者：姜铭 李剑锋[1,2] 杨世琦 王永前 翁木伍且[1] JIANG Ming;LI Jianfeng;YANG Shiqi;WANG Yongqian;WENGMU Wuqie(College of Resources and Environment,Chengdu University of Information Technology,Chengdu 610225,China;Chongqing Institute of Meteorological Sciences,Chongqing 401147,China)

机构地区：[1]成都信息工程大学资源环境学院,成都610225 [2]重庆市气象科学研究所,重庆401147

出　　处：《遥感信息》2023年第6期148-156,共9页Remote Sensing Information

基　　金：国家重点研发计划(2021YFB3901400);四川省科技计划(2023NSFSC0266);成都信息工程大学科研基金(KYTZ202114)。

摘　　要：降雨过后的土壤湿度变化在一定程度上反映了渗透作用强度,有益于滑坡地质灾害的风险评估,而现有卫星遥感土壤湿度数据的时间分辨率低,地面监测数据的空间覆盖度差,均难以满足需求。因此,文章结合FY-3D MWRI土壤湿度升轨数据集产品和地面土壤墒情监测站数据,通过数据校准、缺失恢复、降尺度、时空加密等方法开展多源土壤湿度数据融合研究,得到时间分辨率为1 h的高空间覆盖度土壤湿度产品,并基于该产品数据开展了重庆市土壤湿度时空特性分析。结果表明,该数据不仅能够从宏观上反映研究区域土壤含水量的季节性特征和空间分布特征,还能在局部区域反映灾害发生前后土壤湿度的变化过程,满足地质灾害风险评估对土壤湿度数据的需求。Changes in soil moisture after rainfall reflect the intensity of infiltration to a certain extent,which is useful for risk assessment of landslide geological hazards,while the low temporal resolution of the existing satellite remote sensing soil moisture data and the poor spatial coverage of the ground monitoring data are difficult to meet the demand.Therefore,this essay combines the FY-3D MWRI soil moisture up-orbit data set product and the ground soil moisture monitoring station data to conduct multi-source soil moisture data fusion research through data calibration,missing recovery,downscaling,spatio-temporal encryption,and other methods,and obtains a high spatial coverage soil moisture product with a time resolution of 1 h.Based on the product data,it analyzes the spatiotemporal characteristics of soil moisture in Chongqing.The results show that the data can not only reflect the seasonal and spatial distribution characteristics of soil moisture in the study area from a macro perspective,but also reflect the change process of soil moisture before and after the occurrence of disasters in local areas,meeting the demand for soil moisture data for geological disaster risk assessment.

关 键 词：FY-3D MWRI 土壤湿度 数据融合 时空特性 风险评估 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]