陈月庆, 武黎黎, 朱明, 蚩志峰, 杨楠楠, 杨晨曦, 石新雨. ESA土壤湿度遥感产品在河南省的时空变化分析[J]. 信阳师范学院学报(自然科学版), 2020, 33(4): 586-591. DOI: 10.3969/j.issn.1003-0972.2020.04.012
引用本文: 陈月庆, 武黎黎, 朱明, 蚩志峰, 杨楠楠, 杨晨曦, 石新雨. ESA土壤湿度遥感产品在河南省的时空变化分析[J]. 信阳师范学院学报(自然科学版), 2020, 33(4): 586-591. DOI: 10.3969/j.issn.1003-0972.2020.04.012
CHEN Yueqing, WU Lili, ZHU Ming, CHI Zhifeng, YANG Nannan, YANG Chenxi, SHI Xinyu. Temporal and Spatial Variations of ESA Soil Moisture Remote Sensing Products in Henan Province[J]. Journal of Xinyang Normal University (Natural Science Edition), 2020, 33(4): 586-591. DOI: 10.3969/j.issn.1003-0972.2020.04.012
Citation: CHEN Yueqing, WU Lili, ZHU Ming, CHI Zhifeng, YANG Nannan, YANG Chenxi, SHI Xinyu. Temporal and Spatial Variations of ESA Soil Moisture Remote Sensing Products in Henan Province[J]. Journal of Xinyang Normal University (Natural Science Edition), 2020, 33(4): 586-591. DOI: 10.3969/j.issn.1003-0972.2020.04.012

ESA土壤湿度遥感产品在河南省的时空变化分析

Temporal and Spatial Variations of ESA Soil Moisture Remote Sensing Products in Henan Province

  • 摘要: 利用河南省区域2012年1月1日到2012年12月31日的土壤湿度观测资料和欧空局(ESA CCI SM)土壤湿度遥感资料,验证ESA土壤湿度遥感产品在河南省的精度及其时空分布特征.进行了一系列的反复实验,得出结果,结果表明:(1)ESA土壤体积含水量反演值与地面实测值相关性较好,R2为0.6765;RMSE为0.0511,偏差较小;平均值相差0.0113,土壤湿度值较接近.(2)ESA土壤湿度遥感产品可以很好地展现出河南省土壤湿度的空间分布特征.(3)ESA土壤湿度数据在一定程度上可以精确地展现各个季节河南省的土壤湿度时间变化趋势和空间变化特征,与实际情况大致符合,对分析河南的土壤水分变化有着一定的适用性.

     

    Abstract: The accuracy,spatial and temporal distribution characteristics of ESA soil moisture remote sensing products in Henan province were verified by using the data of soil moisture observation from January 1, 2012 to December 31, 2012 in Henan province and ESA CCI SM Soil Moisture Remote Sensing data. The results of a series of repeated experiments. The results showed that:(1)The inversion value of ESA soil volumetric water content correlated well with the measured value on the ground with R of 0.6765; RMSE was 0.0511, with a small deviation; the average difference was 0.0113, and the soil moisture value was close to each other.(2)ESA soil moisture remote sensing products could well develop the spatial distribution characteristics of soil moisture in Henan province.(3)ESA soil moisture data can accurately show the temporal and spatial variation trend of soil moisture in Henan province in each season to a certain extent, which was roughly in line with the actual situation, and has a certain applicability for the analysis of soil moisture change in Henan province.

     

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