中国农业气象 ›› 2023, Vol. 44 ›› Issue (03): 238-251.doi: 10.3969/j.issn.1000-6362.2023.03.007

• 农业气象信息技术 栏目 • 上一篇    

FY-3B/3C和AMSR2土壤含水量产品在锡林郭勒草原地区的适用性评价

张鹏,于红博,张巧凤,高依博,张卫青,张丽华   

  1. 1.内蒙古师范大学地理科学学院,呼和浩特 010022;2.成都理工大学旅游与城乡规划学院,成都 610059;3.蒙古高原气候变化与区域响应自治区高等学校重点实验室,呼和浩特 010022
  • 收稿日期:2022-02-28 出版日期:2023-03-20 发布日期:2023-03-14
  • 通讯作者: 于红博,副教授,主要从事生态建模及遥感图像处理研究。 E-mail:1106275721@qq.com
  • 作者简介:张鹏,E-mail:1736938578@qq.com
  • 基金资助:
    国家自然科学基金项目(41961144019);内蒙古自治区自然科学基金项目(2021MS04015);国家自然科学基金项目(42161023;41961052;41661009)

Applicability Evaluation of FY-3B/3C and AMSR2 Soil Moisture Products in Xilingol Grassland

ZHANG Peng, YU Hong-bo, ZHANG Qiao-feng , GAO Yi-bo, ZHANG Wei-qing, ZHANG Li-hua   

  1. 1. School of Geographic Sciences, Inner Mongolia Normal University, Hohhot 010022, China; 2. School of Tourism and Urban Rural Planning, Chengdu University of Technology, Chengdu 610059; 3. Provincial Key Laboratory of Mongolian Plateau’s Climate System, Inner Mongolia Normal University, Hohhot 010022
  • Received:2022-02-28 Online:2023-03-20 Published:2023-03-14

摘要: 土壤表层含水量存在于陆−气界面,是模拟全球水文、能源和碳循环及其相互作用的一个重要变量,对于气候和地球系统研究至关重要。为了评价风云三号B星(FY-3B)、风云三号C星(FY-3C)、先进微波扫描辐射计(AMSR2)土壤含水量产品在锡林郭勒草原以及不同土地覆盖类型的精度和适用性,本文基于2014−2019年生长季的地面观测数据,应用时间序列相关性(R)、均方根误差(RMSE)、平均偏差(Bias)和无偏均方根误差(ubRMSE)分析了这三种网格产品的可靠性。结果表明:(1)在日尺度上,FY-3B和FY-3C土壤含水量产品高估了陆地表层含水量,AMSR2低估了土壤含水量;各项评价指标表明三种土壤含水量产品均能够捕捉锡林郭勒草原表层土壤含水量的时间变化趋势。(2)在月尺度上,与AMSR2相比,FY-3B和FY-3C土壤含水量产品的月度分布与实测土壤含水量分布较为一致。(3)在生长季尺度,3种卫星土壤含水量产品能够反映各草原亚型的土壤含水量状况;FY-3B和FY-3C土壤含水量产品在植被覆盖较高的地区适用性较好,AMSR2在植被覆盖较低的地区可靠性较好,3种产品在监测土壤含水量方面具有互补功能;FY-3B与原位土壤含水量的变化趋势一致性最好;FY-3B和FY-3C能较好反映研究区西部和东部土壤含水量变异情况,AMSR2能很好捕捉研究区中部土壤含水量变异状况。

关键词: 微波遥感, 土壤含水量, 适用性, FY-3B, FY-3C, AMSR2

Abstract: Soil surface water content, which exists at the land air interface, is an important variable to simulate the global hydrological, energy and carbon cycles and their interactions, and is crucial for climate and earth system research. In order to evaluate the accuracy and applicability of the soil moisture products of FY-3B, FY-3C and AMSR2 in Xilingol grassland and different land cover types, authors applied time series correlation (R), root mean square error (RMSE) , the average deviation (Bias) and unbiased root mean square error (ubRMSE) were to analyze the reliability on these three grid products. The results showed that: (1) on a daily scale, FY-3B and FY-3C soil moisture products overestimated the land surface water content, while AMSR2 underestimated the soil water content. Each evaluation index showed that the three soil water content products can capture the time change trend of surface soil water content in Xilingol grassland. (2) On a monthly scale, compared with AMSR2, the monthly distribution of FY-3B and FY-3C soil moisture products was more consistent with the measured soil moisture distribution. (3) In the growing season scale, the three satellite soil moisture products reflected the soil moisture status of each grassland subtype. FY-3B and FY-3C soil moisture products had good applicability in areas with high vegetation coverage, AMSR2 had good reliability in areas with low vegetation coverage, and the three products had complementary functions in monitoring soil moisture. FY-3B had the best consistency with the change trend of in-situ soil water content, FY-3B and FY-3C can better reflect the variation of soil moisture in the west and east of the study area, and AMSR2 can well capture the variation of soil moisture in the middle of the study area.

Key words: Microwave remote sensing, Soil moisture, Applicability, FY-3B, FY-3C, AMSR2