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土壤水分及粗糙度对比辐射率的影响 被引量:3

Effect of soil water content and soil roughness on the thermal infrared emissivity of bare soil
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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。 Surface emissivity primary influences the accuracy of land surface temperature retrieval using remote sensing methods. This parameter is important in thermal infrared remote sensing. This paper aims to investigate the effects of soil water content and roughness on the thermal infrared emissivity of bare soil through an experimental method. This work can provide useful information for developing a soil emissivity retrieval method via remote sensing. The spectral emissivity of two soils (loam and sandy loam) with different soil water contents was measured by a Nicolet IS10 Fourier-transform infrared spectrometer with an integrating sphere. Data were used to analyze the effects of soil water content on soil spectral emissivity. The average emissivity of both soil types with different particle sizes of 8--14 μm was determ- ined using an active-passive diffuse emissivity measuring device. This device can determine the effects of soil water content on the average soil emissivity for 8--14 μm particles. Soil emissivity increases with increasing soil water content because of the high emissivity of water. The average emissivity of loam soil with water contents of 0%, 13.7%, 26.1%, and 43.4%are 0.81, 0.92, 0.93, and 0.95, respectively, for wavelengths from 3 μm to 11 Bm, as well as 0.73, 0.89, 0.93, and 0.96, respectively, for wavelengths from 3.3 pm to 5.3 Bin. Moreover, the average emissivity of sandy loam soil with water contents of 0%, 8.8%, 25.3%, and 28.6% are 0.82, 0.92, 0.94, and 0.95,respectively, for the wavelengths from 3 μm to 11 ~rn, as well as0.75, 0.89, 0.95, and 0.96, respectively, for wavelengths from 3.3 μm to 5.3 μm. For the effectsof soil roughness on emissivity, the results show that the average emissivities from 8--14 μm are 0.916, 0.934, and 0.937 for particles with sizes less than 0.6, 0.6--1, and 1--2 mm, respectively, for the dry sandy loam soil, as well as 0.936, 0.951, and 0.959, respectively, for the dry loam soil. Soil emissivity increases with increasing soil moisture. Wavelengths from 3.3μm to 3.5/~m are the most affected by soil moisture. In this wavelength range, the band-average difference in soil emissivity between dry and wet soils is higher than 0.2. The wavelengths with minimal effect include 11 μm to 15 μm, when the band-average difference in soil emissivity between dry and wet soils is lower than 0.015. For the thermal infrared atmospheric window waveband (8--14 μm), wavelengths from 8 μm to 9.5 pan are the most influ- enced by soil moisture. In this range, the band-average difference for soil emissivity is 0.05. Soil emissivity slightly increases with increas- ing particle size for dry and wet soils. Furthermore, soil emissivity increases by more than 0.05 for bands 10, 11, and 12 of ASTER data with increasing soil water content.
出处 《遥感学报》 EI CSCD 北大核心 2016年第4期561-569,共9页 NATIONAL REMOTE SENSING BULLETIN
基金 国家自然科学基金项目(编号:41271380)~~
关键词 土壤比辐射率 土壤水分 土壤粗糙度 波谱变化 soil emissivity, soil water content, soil roughness, soil spectrμm
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  • 1闫柏琨,刘圣伟,王润生,甘甫平,陈伟涛,杨苏明.热红外遥感定量反演地表岩石的SiO_2含量[J].地质通报,2006,25(5):639-643. 被引量:31
  • 2Ingram P M, Henry M A. Sensivity of iterative spectrally smooth temperature/emissivity separation to algorithmic assumptions and measurement noise. IEEE Transactions on Geoscience and Remote Sensing, 200l, 39(10) : 2158-2167.
  • 3Rubio E, Caselles V, Badenas C. Emissivity measurements of several soils and vegetation types in the 8-14μm wave band : analysis of two field methods. Romote Sensing of Environment, 1997, 59:490-521.
  • 4Salisbury J W, D' Aria D M. Emissivity of terrestrial materials in the 8 - 14μm atmospheric windows. Remote Sensing of Environment, 42 : 83-110.
  • 5Salisbury J W, D' Aria D M. Infrared (8 - 14μm) remote sensing of soil particle size. Remote sensing of Enviromnent.1992, 42:157-165.
  • 6Nerry F, Labed J, Stoll M P. Spectral properties of land surfaces in the thermal infrared, 1. Laboratory measurements of absolute spectral emissivity signatures. Journal of Geophysical Research, 1990, 95( B5 ) : 7027-7044.
  • 7Hook S J, Gabell G A. A comparison of techniques for extracting emissivity information from thermal infrared data for geological studies. Remote Sensing of Environment, 1992,42:123-135.
  • 8Kealy P S, Hook S J. Separating temperature and emissivity in thermal infrared multispectral scanner data: implication for recovering land surface temperature. IEEE Transactions on Geoscience and Remote Sensing, 1993, 31 : 1155-1164.
  • 9Labed J, Stoll M P, Spatial variability of land surface emissivity in the thermal infrared band: spectral signature and effective surface temperature. Remote Sensing of Environment,1991,38:1-17.
  • 10Snyder W C, Wan Z W. Surface temperature correction for active infrared reflectance measurements of natural materials. Applied Optics. 1996. 35(13) : 2216-2220.

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