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土壤水分及粗糙度对比辐射率的影响

发布时间:2019-08-09 12:33
【摘要】:比辐射率是影响地表温度遥感反演精度的主要因素,是定量热红外遥感领域研究的核心内容,其与土壤质地、土壤成分、土壤水分和土壤粗糙度关系密切。首先通过试验方法初步研究了土壤水分和土壤粗糙度对土壤比辐射率的影响。其次采用傅里叶变换红外光谱仪观测不同水分条件下土壤比辐射率波谱。最后采用基于改变两次环境观测原理的一种主被动漫射式实时比辐射率测定装置观测不同粗糙度条件下8—14μm土壤比辐射率均值的变化。结果表明,土壤比辐射率随土壤水分的增加而增加,其中影响最显著波段范围是3.3—5.3μm,这个波段范围内波段平均比辐射率干土与湿土差异大于0.2;影响最小的波段范围是11—15μm,这个波段范围内波段平均比辐射率干土与湿土差异在0—0.015之间;在热红外波段,8—9.5μm是土壤水分对比辐射率影响最大的波段,干土与湿土比辐射率差异大于0.05;土壤比辐射率随着粗糙度的增加略有增加,干土和湿土都有此规律。
[Abstract]:Specific emissivity is the main factor affecting the accuracy of remote sensing inversion of surface temperature. It is the core content in the field of quantitative thermal infrared remote sensing. It is closely related to soil texture, soil composition, soil moisture and soil roughness. Firstly, the effects of soil moisture and soil roughness on soil specific emissivity were studied. Secondly, Fourier transform infrared spectroscopy (FTIR) was used to observe the soil specific emissivity spectrum under different water conditions. Finally, an active and passive diffusing real-time specific emissivity measuring device based on the principle of changing twice environmental observation is used to observe the mean value of soil specific emissivity of 8-14 渭 m under different roughness conditions. The results show that the specific emissivity of soil increases with the increase of soil moisture, and the most significant band range is 3.3-5.3 渭 m, the difference between dry soil and wet soil is more than 0.2, and the band with the smallest effect is 11-15 渭 m, and the difference between dry soil and wet soil is between 0 and 0.015. In the thermal infrared band, 8-9.5 渭 m is the band with the greatest influence on the relative emissivity of soil moisture, and the difference between the specific emissivity of dry soil and wet soil is more than 0.05, and the specific emissivity of soil increases slightly with the increase of roughness, and both dry soil and wet soil have this law.
【作者单位】: 中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室;中国科学院研究生院;中国科学院地理科学与资源研究所生态系统网络观测鱼模拟重点实验室;
【基金】:国家自然科学基金项目(编号:41271380)~~
【分类号】:S152

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1 涂梨平;利用Landsat TM数据进行地表比辐射率和地表温度的反演[D];浙江大学;2006年



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