摘要
表观热惯量法是热红外遥感监测土壤水分的重要方法之一.土壤的表观热惯量可以通过对土壤反照率和地表温度日较差的测量而获得。以吉林中部地区为研究区,根据表观热惯量反演土壤水分含量的原理,选取春播时期的四月份时相,利用MODIS_L1B数据计算模型中的相关参量,进而计算表观热惯量值。将计算结果与土壤水分含量实测值进行线性回归分析,结果通过了置信度0.01的显著水平t检验,相关系数R=0.831,并分析土壤类型对土壤水分含量差异的影响,结果与表观热惯量反演土壤水分的计算结果一致。
The method of apparent thermal inertia is one of the important ways in monitoring soil moisture by thermal infrared remote sensing.Apparent thermal inertia of soil can be obtained by calculating the soil albedo and the land surface temperature daily range.Based on the theory of inverting soil moisture by apparent thermal inertia,the middle part of the Jilin Province is chosen as the study area and the month of April is the study time phase.Based on the theory of inverting soil moisture by apparent thermal inertia,the data of MODIS_L1B are used to calculate the parameters of the inverting model to obtain the specific value of the apparent thermal inertia.Than the linear regression analysis is used between the ATI and the actually measured soil moisture.The result passed the significant level of t-test by confidence 0.01 and the correlation coefficient R=0.831.The soil type impact on the soil moisture content differences is analyzed and the result consists with the calculating value of ATI.
出处
《科学技术与工程》
北大核心
2013年第3期564-568,共5页
Science Technology and Engineering
基金
吉林省科技发展基金项目(20094078)资助
