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在冬小麦主要生育期(2002年4月初到5月底),对不灌溉的冬小麦测定了冠层温度、地温、气温以及土壤含水量,计算了冠气温差且分析了冠层温度和冠气温差与不同土层厚度的土壤含水量相关关系。结果表明:14∶00的冠层温度能较好地反映20cm土层的土壤含水量变化,但与其它各土层相关性有较大的波动性;14∶00的冠气温差能较好地反映40cm以上土层的土壤含水量变化,二者的相关性很高,在20cm、40cm土层,两者相关系数R2分别为0 98866、0 99389,这为用区域遥感数据反演主要生育期冬小麦的冠气温差进而监测区域40cm土壤含水量提供了实验性的依据;拔节期和灌浆期,用14∶00冠气温差来拟合各土壤层的土壤含水量有较高的精度,从而为用区域遥感数据监测区域土壤含水量提供了经验性的模型。
The canopy temperature, ground temperature, air temperature and soil water content were measured in the winter wheat irrigated area during the main growth period of winter wheat (from the beginning of April to the end of May 2002). The temperature difference of canopy air temperature was calculated and the difference between canopy temperature and canopy air temperature Correlation of Soil Water Content of Different Soil Thickness. The results showed that the canopy temperature at 14:00 could reflect the change of soil water content in 20 cm soil layer well, but the correlation with other soil layers was more volatile. Reflect the change of soil moisture content above 40cm soil layer, the correlation between the two is very high. In 20cm and 40cm soil layer, the correlation coefficient R2 between them is 0 98866 and 0 099389, respectively. This is the result of using the remote sensing data to retrieve the main growth period Winter canopy crown temperature and thus monitoring the area 40cm soil moisture to provide an experimental basis; jointing and filling stage, 14:00 with the temperature difference between the crown to fit the soil layer of soil moisture with higher accuracy, which is Employing regional remote sensing data to monitor regional soil moisture provides an empirical model.