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Assessment with remotely sensed soil moisture products and ground-based observations over three dense network

机译:用遥感土壤水分产品评估和三个密集网络的地面观测

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摘要

Soil moisture (SM) is a key variable in hydrological processes, bio-ecological processes, and biogeochemical processes. Long-term observations of soil moisture over large areas are critical to research on flooding and drought monitoring, water resource management, and crop yield forecasts. In this paper, Fengyun (FY3B and FY3C) SM products, Japan Aerospace Exploration Agency (JAXA) SM products from the Advanced Microwave Scanning Radiometer 2 (AMSR2), the Land Parameter Retrieval Model (LPRM) AMSR2 L3 SM products, the Version 2 (v2) global land parameter data record (LPDR) of SM products, Soil Moisture Ocean Salinity (SMOS) Centre Aval de Traitement des Donnees SMOS (CATDS) L3 SM products, the Soil Moisture Active Passive (SMAP) passive L3 SM products and the European Space Agency(ESA) Climate Change Initiative (CCI) SM products were evaluated using the ground-based observations in the Little Washita, Fort Cobb and Yanco networks. Long-time series comparison between measured and satellite products was conducted to evaluate the overall performance of FY3 series satellites SM products. Bias (mean bias), R (correlation coefficient), RMSE (root mean square error) and ubRMSE (unbiased root mean square error) were calculated to explore the agreement between satellite products and in-situ measurements. Taylor diagrams were used to compare the performance of various satellite products. The result showed that (1) FY3B, FY3C and LPRM AMSR2 ascending and descending products had an obvious overestimate with in-situ soil moisture in three networks. (2) JAXA AMSR2 ascending and descending products had considerable underestimation in three networks. (3) The validation result of SMOS ascending and descending products over the three networks was satisfactory, with a rather high correlation than other X-band products. (4) The validation result of SMAP ascending and descending products outperformed the other products over the Little Washita and Fort Cobb networks. (5) The ESA CCI product had the lowest values of RMSE and ubRMSE than the other products in the Yanco network, revealing the effectiveness of merging active and passive soil moisture products. (6)The LPDR descending SM products had better performance than the LPDR ascending SM products in the LW and FC networks.
机译:土壤水分(SM)是水文过程,生物生态过程和生物地球化学过程中的关键变量。在大面积上的土壤水分的长期观察对于研究洪水和干旱监测,水资源管理和作物收益率预测至关重要。本文在本文中,丰云(FY3B和FY3C)SM产品,日本航空航天勘探机构(JAXA)SM产品从先进的微波扫描辐射计2(AMSR2),土地参数检索模型(LPRM)AMSR2 L3 SM产品,版本2( v2)全球土地参数数据记录(LPDR)的SM产品,土壤水分海洋盐度(SMOS)中心AVAL DE TRAITEMENT DE DEN DENEES SMOS(CATDS)L3 SM产品,土壤湿气活性(SMAP)被动L3 SM产品和欧洲空间机构(ESA)气候变化倡议(CCI)SM产品使用小垫片,科技厅和Yanco网络的基础观测评估。进行了测量和卫星产品之间的长时间序列比较,以评估FY3系列卫星SM产品的整体性能。偏置(平均偏置),R(相关系数),RMSE(均均方误差)和UBRMSE(无偏析的根均线误差)以探讨卫星产品和原位测量之间的协议。泰勒图用于比较各种卫星产品的性能。结果表明,(1)FY3B,FY3C和LPRM AMSR2升序和下降产品具有三个网络原位土壤水分的明显高估。 (2)JAXA AMSR2上升和下降产品在三个网络中具有相当低的低估。 (3)三个网络中SMOS上升和下降产品的验证结果令人满意,相关性比其他X波段产品相当高。 (4)SMAP上升和降水产品的验证结果优于小型冲洗塔和COBB网络上的其他产品。 (5)ESA CCI产品的RMSE和UBRMSE的最低价值比Yanco网络中的其他产品,揭示了合并活性和被动土壤水分产品的有效性。 (6)LPDR降序SM产品的性能比LW和FC网络中的LPDR上升SM产品更好。

著录项

  • 来源
    《Earth Science Informatics》 |2020年第3期|共17页
  • 作者单位

    Shandong Agr Univ Coll Informat Sci &

    Engn 61 Daizong St Tai An 271018 Shandong Peoples R China;

    Shandong Agr Univ Coll Informat Sci &

    Engn 61 Daizong St Tai An 271018 Shandong Peoples R China;

    Shandong Agr Univ Coll Informat Sci &

    Engn 61 Daizong St Tai An 271018 Shandong Peoples R China;

    Shandong Agr Univ Coll Informat Sci &

    Engn 61 Daizong St Tai An 271018 Shandong Peoples R China;

    Shandong Agr Univ Coll Informat Sci &

    Engn 61 Daizong St Tai An 271018 Shandong Peoples R China;

    Shandong Agr Univ Coll Informat Sci &

    Engn 61 Daizong St Tai An 271018 Shandong Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

    Soil moisture; FY3B; FY3C; JAXA AMSR2; LPRM AMSR2; SMOS; SMAP; ESA CCI; LPDR; Assessment;

    机译:土壤水分;FY3B;FY3C;JAXA AMSR2;LPRM AMSR2;SMOS;SMAP;ESA CCI;LPDR;评估;

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