基于FTIR野外实测的沙漠下垫面地表发射率数据集

doi:10.14088/j.cnki.issn0439-8114.2021.24.044

湖北农业科学 ›› 2021, Vol. 60 ›› Issue (24): 197-202.doi: 10.14088/j.cnki.issn0439-8114.2021.24.044

基于FTIR野外实测的沙漠下垫面地表发射率数据集

刘凯露¹, 王远弘¹, 买买提艾力·买买提依明², 杨帆², 刘永强¹

1.新疆大学资源与环境科学学院,乌鲁木齐 830046;
2.中国气象局乌鲁木齐沙漠气象研究所/塔克拉玛干沙漠气象野外科学试验基地,乌鲁木齐 830002

收稿日期:2020-12-01 出版日期:2021-12-25 发布日期:2022-01-04
通讯作者: 刘永强,（电子信箱）lyqxju@163.com。
作者简介:刘凯露（1996-）,女,新疆伊宁人,在读硕士研究生,主要从事塔克拉玛干沙漠地表能量通量的遥感反演研究,（电话）15276508670（电子信箱）15276508670@163.com;
基金资助:
国家自然科学基金项目（41675011）

Land surface emissivity dataset of desert underlying surface in arid area based on FTIR measurement

LIU Kai-lu¹, WANG Yuan-hong¹, Ali Mamtimin², YANG Fan², LIU Yong-qiang¹

1. College of Resources & Environmental Sciences,Xinjiang University,Urumqi 830046,China;
2. Taklimakan Desert Meteorology Field Experiment Station of CMA/Institute of Desert Meteorology,China Meteorological Administration,Urumqi 830002,China

Received:2020-12-01 Online:2021-12-25 Published:2022-01-04

摘要/Abstract

摘要： 地表发射率是陆面过程模型模拟长波辐射和地表温度的重要参数。为解决现有地表发射率在干旱区沙漠下垫面实测数据较少的问题,利用变换热红外光谱仪FTIR观测波长8~14 μm的热红外大气窗口的地表辐射光谱,再经冷热黑体和漫反射金板校正后,计算该波长范围的地表发射率光谱,将地表发射率光谱区间离散化后积分获得地表发射率值,从而建立地表发射率数据集。结果表明,该数据集中10个观测点南北贯穿塔克拉玛干沙漠且分布均匀（沙漠周边的过渡带和绿洲与沙漠腹地均有分布）,该数据集可为卫星遥感资料反演干旱区地表发射率和地表温度,为探究陆面过程参数化方案在干旱区适用性等方向提供良好的数据支撑。

关键词: 塔克拉玛干沙漠, 地表比辐射率, 地表温度, FTIR, 数据集

Abstract: Land Surface Emissivity（LSE） is the most important parameter in Land Surface Models to simulate the long wave radiation and Land Surface Temperature（LST）. In order to solve the problem of lack measured data on the underlying surface of desert. Fourier transform thermal infrared spectrometer （FTIR） to observe the surface radiation spectrum of the wavelength in 8~14 μm thermal infrared atmospheric window was used. after cold and hot blackbody correction and the diffuse reflection gold board, we calculated emissivity spectrum of the wavelength range, by Using discretization algorithm to convert the surface emissivity spectral data into the surface emissivity values to establish the land surface emissivity dataset. Results showed that the 10 Observation points are evenly distributed across the Taklimakan desert （The distribution of observation points along oasis and oasis-desert Ecotone and central Taklimakan desert）, In arid region, the dataset can provide good verification data for retrieving LSE and LST from satellite data and support for the application of the bare soil in the land surface process.

Key words: Taklimaka desert, land surface emissivity, land surface temperature, FTIR, dataset

中图分类号:

P404

刘凯露, 王远弘, 买买提艾力·买买提依明, 杨帆, 刘永强. 基于FTIR野外实测的沙漠下垫面地表发射率数据集[J]. 湖北农业科学, 2021, 60(24): 197-202.

LIU Kai-lu, WANG Yuan-hong, Ali Mamtimin, YANG Fan, LIU Yong-qiang. Land surface emissivity dataset of desert underlying surface in arid area based on FTIR measurement[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(24): 197-202.

参考文献

[1] VAN D G A A, OWE M. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces[J] . International journal of remote sensing,1993,14(6):1119-1131.
[2] ABRAMOWITZ G,POUYANNÉ L,AJAMI H.On the information content of surface meteorology for downward atmospheric long-wave radiation synthesis[J] . Geophysical research letters,2012,39(39): L04808.
[3] HUANG J, GUAN X, JI F.Enhanced cold-season warming in semi-arid regions[J] . Atmospheric chemistry and physics,2012,12(272):5391-5398.
[4] 张佳华, 李欣, 姚凤梅, 等. 基于热红外光谱和微波反演地表温度的研究进展[J] . 光谱学与光谱分析, 2009, 29(8):2103-2107.
[5] 李召良, 段四波, 唐伯惠, 等. 热红外地表温度遥感反演方法研究进展[J] . 遥感学报, 2016, 20(5): 899-920.
[6] 刘东琦, 王介民. 利用ATSR/ERS-1资料研究复杂下垫面比辐射率的变化[J] . 大气科学, 1999(5):613-622.
[7] 张仁华. 对于定量热红外遥感的一些思考[J] . 国土资源遥感, 1999(1):5-10.
[8] JIN M, LIANG S.An improved land surface emissivity parameter for land surface models using global remote sensing observations[J] . Journal of climate, 2006, 19(12): 2867-2881.
[9] LI H, SUN D, YU Y, et al.Evaluation of the VIIRS and MODIS LST products in an arid area of northwest China[J] . Remote sensing of environment, 2014, 142: 111-121.
[10] BAVEL C H M V, HILLEL D I. Calculating potential and actual evaporation from a bare soil surface by simulation of concurrent flow of water and heat[J] . Agricultural meteorology,1976,17(6): 453-476.
[11] NOBORIO K,MCINNES K J,HEILMAN J L.Two-dimensional model for water, heat, and solute transport in furrow-irrigated soil:I. theory[J] . Soil science society of America journal,1996,60(4): 1001.
[12] SWINBANK W C.Long-wave radiation from clear skies[J] . Quarterly journal of the royal meteorological society,2010,89(381):339-348.
[13] IDSO S B, JACKSON R D.Thermal radiation from the atmosphere[J] . Journal of geophysical research,1969,74(23):5397-5403.
[14] CHUNG S O,HORTON R.Soil heat and water flow with a partial surface mulch[J] . Water resources research,1987,23(12):2175-2186.
[15] 刘永强, 买买提艾力·买买提依明, 霍文, 等. 塔克拉玛干沙漠地表发射率及分布变化特征[J] . 沙漠与绿洲气象,2014,8(3): 1-7.
[16] 陈渭南. 塔克拉玛干沙漠84°E沿线沙物质的粒度特征[J] . 地理学报, 1993(1): 33-46.
[17] 闫柏琨. 热红外遥感岩矿波谱机理及信息提取技术方法研究[D] . 北京:中国地质大学(北京), 2006.
[18] 张天舒, 刘文清, 高闽光, 等. 地表发射率的机载傅里叶变换红外光谱反演方法研究[J] . 光学技术,2006,32(2):219-221,225.
[19] KORB A R, SALISBURY J W, D′ARIA D M. Thermal-infrared remote sensing and Kirchhoff’s law:2. Field measurements[J] . Journal of geophysical research solid earth,1999,104(B7):15339-15350.
[20] ZHANG Y, LI Y, RONG Z G, et al.Field measurement of gobi surface emissivity spectrum at Dunhuang calibration site of China[J] . Spectroscopy and spectral analysis,2009,29(5):1213-1217.
[21] LINDERMEIR E, TANK V.The spectral emissivity of natural surfaces measured with a Fourier transform infrared spectrometer[J] . Measurement, 1994, 14(2): 177-187.
[22] 高扬. TurboFT傅里叶变换热红外辐射仪控制软件与数据处理方法研究[D] . 北京:中国地质科学院,2014.
[23] HOOK S J, KAHLE A B.The micro fourier transform interferometer (FTIR)-A new field spectrometer for acquisition of infrared data of natural surfaces[J] . Remote sensing of environment,1996,56(3):172-181.
[24] WILBER A C,KRATZ D P, GUPTA S K.Surface emissivity maps for use in satellite retrievals of longwave radiation[M] . NASA Langley Technical Report Server,1999.
[25] OGAWA K,SCHMUGGE T.Mapping surface broadband emissivity of the Sahara desert using ASTER and MODIS data[J] . Earth interactions,2004,8(7): 145-147.

基于FTIR野外实测的沙漠下垫面地表发射率数据集

Land surface emissivity dataset of desert underlying surface in arid area based on FTIR measurement

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