摘要
利用MODIS数据计算表观热惯量模型反演阜新地区春季的土壤含水状况分布。通过处理2009、2010年4月的数据,拟合表观热惯量与土壤含水量的关系模型,得到阜新地区土壤含水状况分布图。通过与37个实测点土壤含水量数据对比验证表明,深度为0～10 cm时,相对误差均值为5.4%;深度为10～20 cm时,相对误差值为10.82%;深度为20～30 cm时,相对误差值为16.50%,相对误差都满足地区实际反演要求,并随土层深度增加相对误差均值增大。
Apparent thermal inertia model was used to retrieve the soil moisture on the basis of MODIS image data from April since 2009 to 2010.First of all,the relationship between the ATI and soil moisture data was fitted with a model,and then combined with the date of 37 measured soil moisture points,the distribution of soil moisture condition was obtained in Fuxin.Finally the soil moisture distribution of Fuxin area in the spring time was acquired with the linear model.The field data validations show that,at the depth of 0~10 cm,the mean relative error is 5.4%;at the depth of 10~20 cm,the relative error is 10.82%;at the depth of 20~30 cm,the relative error is 16.50%.Although the relative error can meet the needs of the actual inversion,the relative error increases as the soil depth increases.
出处
《遥感技术与应用》
CSCD
北大核心
2011年第4期413-419,共7页
Remote Sensing Technology and Application
