国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2015年
4期
68-72
,共5页
王亚维%宋小宁%唐伯惠%李召良%冷佩
王亞維%宋小寧%唐伯惠%李召良%冷珮
왕아유%송소저%당백혜%리소량%랭패
地表温度%FY-2C%劈窗算法%MODIS
地錶溫度%FY-2C%劈窗算法%MODIS
지표온도%FY-2C%벽창산법%MODIS
land surface temperature%FY-2 C%split-window algorithm%MODIS
地表温度是气候、水文和生态等研究领域的基本参数,在地表水量和能量平衡的研究和应用中发挥着十分重要的作用。强烈的异质性是地表温度反演精度不高的主要原因之一。该文以黄河源区玛曲为研究区,评估FY-2C数据的地表温度反演精度,为将来温度反演算法和产品的进一步发展提供依据。首先,以与FY-2C相同空间分辨率的MODIS地表温度产品(MOD11B1)为地表温度真值,对反演的地表温度进行了验证;然后,利用研究区内20个采样点的土壤温度(5 cm)实测数据对反演结果进行验证。结果表明,FY-2C地表温度与MODIS温度产品具有较好的相关性,相关系数在0.72~0.95之间,均方根误差在0.44~3.87 K之间,平均均方根误差为1.90 K;反演结果和实测数据的相关系数为0.69。
地錶溫度是氣候、水文和生態等研究領域的基本參數,在地錶水量和能量平衡的研究和應用中髮揮著十分重要的作用。彊烈的異質性是地錶溫度反縯精度不高的主要原因之一。該文以黃河源區瑪麯為研究區,評估FY-2C數據的地錶溫度反縯精度,為將來溫度反縯算法和產品的進一步髮展提供依據。首先,以與FY-2C相同空間分辨率的MODIS地錶溫度產品(MOD11B1)為地錶溫度真值,對反縯的地錶溫度進行瞭驗證;然後,利用研究區內20箇採樣點的土壤溫度(5 cm)實測數據對反縯結果進行驗證。結果錶明,FY-2C地錶溫度與MODIS溫度產品具有較好的相關性,相關繫數在0.72~0.95之間,均方根誤差在0.44~3.87 K之間,平均均方根誤差為1.90 K;反縯結果和實測數據的相關繫數為0.69。
지표온도시기후、수문화생태등연구영역적기본삼수,재지표수량화능량평형적연구화응용중발휘착십분중요적작용。강렬적이질성시지표온도반연정도불고적주요원인지일。해문이황하원구마곡위연구구,평고FY-2C수거적지표온도반연정도,위장래온도반연산법화산품적진일보발전제공의거。수선,이여FY-2C상동공간분변솔적MODIS지표온도산품(MOD11B1)위지표온도진치,대반연적지표온도진행료험증;연후,이용연구구내20개채양점적토양온도(5 cm)실측수거대반연결과진행험증。결과표명,FY-2C지표온도여MODIS온도산품구유교호적상관성,상관계수재0.72~0.95지간,균방근오차재0.44~3.87 K지간,평균균방근오차위1.90 K;반연결과화실측수거적상관계수위0.69。
Land surface temperature ( LST ) is an essential parameter in such fields of research as climate, hydrology and ecology, and it plays a significant role in the understanding of the water and energy balance of the Earth ’ s surface. Because the heterogeneity of the underlying surface is most likely a main source of the uncertainties of the satellite derived LST, this paper aims to evaluate the accuracy of the FY-2C derived LST over the heterogeneous area of Maqu County in the source region of the Yellow River and subsequently to provide solid basis for the future development of the LST inversion algorithm and product. MODIS LST product (MOD11B1) was primarily conducted to verify the FY-2C derived LST over the study area. In addition to the MODIS data, soil temperature measurements from 20 soil samples of the study area were also implemented to validate the FY-2 C derived LST. The results indicate that a significant correlation exists between the two datasets, with the coefficient of correlation, varying from 0. 72 to 0. 95, root mean square error(RMSE) ranging from 0. 44 to 3. 87 K, and the average RMSE being 1. 90 K. The FY -2C derived LST exhibits a consistent variation with the measured soil temperature, and the coefficient of correlation reaches 0. 69.