Reyes-González Arturo, Kjaersgaard Jeppe, Trooien Todd, Reta-Sánchez David G, Sánchez-Duarte Juan I, Preciado-Rangel Pablo, Fortis-Hernández Manuel
Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Blvd. José Santos Valdez No. 1200 pte. Matamoros, Coahuila 27440, Mexico.
Minnesota Department of Agriculture, St Paul, MN 55155, USA.
Sensors (Basel). 2019 Apr 18;19(8):1857. doi: 10.3390/s19081857.
The verification of remotely sensed estimates of surface variables is essential for any remote sensing study. The objective of this study was to compare leaf area index (LAI), surface temperature (Ts), and actual evapotranspiration (ETa), estimated using the remote sensing-based METRIC model and in situ measurements collected at the satellite overpass time. The study was carried out at a commercial corn field in eastern South Dakota. Six clear-sky images from Landsat 7 and Landsat 8 (Path 29, Row 29) were processed and used for the assessment. LAI and Ts were measured in situ, and ETa was estimated using an atmometer and independent crop coefficients. The results revealed good agreement between the variables measured in situ and estimated by the METRIC model. LAI showed r = 0.76, and RMSE = 0.59 m m, the Ts comparison had an agreement of r = 0.87 and RMSE 1.24 °C, and ETa presented r = 0.89 and RMSE = 0.71 mm day.
对于任何遥感研究而言,验证地表变量的遥感估算值至关重要。本研究的目的是比较基于遥感的METRIC模型估算的叶面积指数(LAI)、地表温度(Ts)和实际蒸散量(ETa),以及在卫星过境时收集的实地测量数据。该研究在南达科他州东部的一个商业化玉米田进行。处理了来自Landsat 7和Landsat 8(路径29,行29)的六幅晴空图像,并用于评估。实地测量了LAI和Ts,并使用蒸发计和独立的作物系数估算了ETa。结果表明,实地测量变量与METRIC模型估算值之间具有良好的一致性。LAI的相关系数r = 0.76,均方根误差RMSE = 0.59 m²/m²;Ts比较的相关系数r = 0.87,RMSE = 1.24°C;ETa的相关系数r = 0.89,RMSE = 0.71 mm/天。