摘要
为进一步研究风云三号(FY-3B)土壤水分降尺度获取高分辨率土壤水分的方法,使其更适用于农业、水文、生态等区域尺度的应用要求,以MODIS为数据源,青藏高原那曲地区为研究区,利用表观热惯量模型(apparent thermal inertia,ATI)与温度植被指数(temperature vegetation index,TVI)模型在不同植被覆盖度下适用的特点,构建综合ATI与TVI的土壤水分反演模型;结合低分辨率FY-3B土壤水分产品,利用土壤水分降尺度方法,获取高分辨率下土壤水分反演模型系数,并得到高分辨率土壤水分。通过与地面观测数据对比,降尺度后土壤水分与实测数据的R2在0.4以上,RMSE在0.055~0.103 cm^(3)/cm^(3)之间,表明降尺度后的土壤水分能够较好地反映区域土壤水分的空间分布与变化。
In order to further study the method of obtaining high-resolution soil moisture by downscaling FY-3B soil moisture and make it more suitable for agricultural and hydrological simulation,the authors constructed a comprehensive ATI and TVI by using MODIS data in Naqu area.Combined with low resolution FY-3B soil moisture products,the coefficients of soil moisture inversion model under high resolution were obtained by using soil moisture downscaling method,and the high-resolution soil moisture was obtained.Compared with the ground observation data,the R2 of the downscaling soil moisture and the measured data is above 0.4,and the RMSE is between 0.055 and 0.103 cm^(3)/cm^(3),indicating that the downscaling soil moisture can better reflect the spatial distribution and change of soil moisture.
作者
宋承运
胡光成
王艳丽
汤超
SONG Chengyun;HU Guangcheng;WANG Yanli;TANG Chao(School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China;State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China)
出处
《国土资源遥感》
CSCD
北大核心
2021年第2期20-26,共7页
Remote Sensing for Land & Resources
基金
安徽省高等学校自然科学研究项目“不同植被覆盖度下风云三号土壤水分产品降尺度方法研究”(编号:KJ2017A072)
国家重点研发计划“主要粮食作物气象灾害监测技术体系研发”(编号:2017YFD0300402)
国家自然科学基金项目“基于全球涡动相关数据及地表蒸散发模型的微波遥感土壤湿度融合研究”(编号:41701495)共同资助。
关键词
降尺度
FY-3B土壤水分
表观热惯量
温度植被指数
downscaling
FY-3B soil moisture
apparent thermal inertia
temperature vegetation index
