摘要
以黑河流域中上游为研究区,初步探究了利用AMSR2卫星的多频亮度温度数据估算土壤水分的方法。基于土壤水分和土壤发射率的统计关系,通过黑河流域上游的4个像元2013年7月至2014年6月内的实测土壤水分和土壤温度数据,采用了“四像元交叉拟合法”获得了统计系数,并用此方法估算出了黑河流域中上游的土壤水分。采用2014年7月至2014年10月内估算的土壤水分,连同与AMSR2的4个常用的土壤水分产品和GLDAS土壤水分产品在时间序列上,与八宝河流域WSN土壤水分地面观测展开了对比验证,结果表明估算土壤水分精度明显高于上述5种产品。同时借助高程和土地覆被辅助数据,与GLDAS土壤水分在空间格局上进行了比较,发现估算土壤水分时空分布特征更加合理。该方法可为流域尺度的土壤水分反演与监测提供了一种简而易行的思想方法和可行之路。
An approach to estimate soil moisture from AMSR2 multi-brightness temperature observations is preliminarily investigated in the middle and upper reaches of the Heihe River Basin(HRB).Based on the statistical relation between soil moisture and microwave emissivity from soil,a method called“4-grid cross-fitness”is used to obtain the statistical relation between in-situ soil moisture and soil temperature measurements of 4 WSN pixels in the upper reaches of the HRB during the period July,2013~June,2014.Then soil moisture in the middle and upper reaches of the HRB is retrieved.The retrieved soil moisture is compared with WSN soil moisture measurements,along with AMSR2 soil moisture products and GLDAS soil moisture product during the period July,2014~October,2014.The results show that the retrieved soil moisture perform remarkably better than the other 5 soil moisture products.Moreover,spatial patterns of the retrieved soil moisture and GLDAS soil moisture products are compared and analyzed as well via the auxiliary DEM and Landcover datasets.The results indicate that the spatial distribution of retrieved soil moisture perform with higher reasonability than GLDAS.This method may probably provide a feasible way for soil moisture retrieval over basin scales.
作者
陆峥
韩孟磊
卢麾
彭雪婷
蒙莎莎
刘进
杨晓帆
Lu Zheng;Han Menglei;Lu Hui;Peng Xueting;Meng Shasha;Liu Jin;Yang Xiaofan(State Key Laboratory of Earth Surface Processes and Resource Ecology and School of Natural Resources,Faculty of Geographical Science,Beijing Norma/University,Beijing 100875,China;Department of Earth System Science.Tsinghua University,Beijing 10084,China;Meteorological Disaster Prevention Center.Beijing 100089,China;The Ad/ninistrative Center of China's Agenda 21,Beijing 100038,China;School of Geography,Faculty of Geographical Science,Beijing Normal University,Beijing 100084,China)
出处
《遥感技术与应用》
CSCD
北大核心
2020年第1期33-47,共15页
Remote Sensing Technology and Application
基金
科技部专项“第二次青藏高原综合科学考察研究”(编号:2019QZKK0306)
中英繁荣基金项目“The UK-China Cooperation on Climate Change Risk Assessment project”。
关键词
土壤水分
AMSR2
土壤发射率
土壤温度
黑河流域中上游
Soil moisture
AMSR2
Soil emissivity
Soil temperature
The middle and upper reaches of the Heihe River Basin
