Arid
DOI10.3390/rs13091686
A New Linear Relation for Estimating Surface Broadband Emissivity in Arid Regions Based on FTIR and MODIS Products
Li, Huoqing; Liu, Zonghui; Mamtimin, Ali; Liu, Junjian; Liu, Yongqiang; Ju, Chenxiang; Zhang, Hailiang; Gao, Zhibo
通讯作者Mamtimin, A (corresponding author), China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2021
卷号13期号:9
英文摘要Broadband emissivity is a crucial parameter for calculating the radiation budget, still, it adopts a constant value in land surface models due to a lack of adequate observations. Arid regions have complex underlying surfaces and estimations of the broadband emissivity in such areas suffer from high spatial variation and uncertainty. Here, we propose a novel method for estimating broadband emissivity in the 8-14 mu m range based on Fourier-transform infrared spectroscopy (FTIR) observations, moderate resolution imaging spectrometer (MODIS) emissivity, the leaf area index (LAI) and reflectance products. The proposed method exploits FTIR observations, MODIS single-channel emissivity, reflectance and the LAI to fit a linear regression of the broadband emissivity, so the optimal equation includes emissivity, reflectance and the LAI, with an R-2 and root-mean-squared error of 0.942 and 0.08. Then we used the proposed method to generate a broadband emissivity map of Northwest of China, the broadband emissivity estimated by the method showed higher variations and finer distribution in arid areas and sparsely vegetated regions compared to data from the global land surface satellite and land model. An analysis of the relationship between the broadband emissivity, land-use type and soil moisture found an existing but not linear relationship, which indicated that the relationship was complicated under the inhomogeneous surface of wetness and vegetation. In conclusion, our results suggest that the proposed method can accurately estimate the broadband emissivity in arid regions. In future research, we will test the data in a land model.
英文关键词broadband emissivity FTIR MODIS LAI arid region
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000650745100001
WOS关键词SPACEBORNE THERMAL EMISSION ; REFLECTION RADIOMETER ASTER ; TEMPERATURE ; ALGORITHM ; RETRIEVAL ; CLIMATE ; ENERGY ; COVER ; MODEL ; AREA
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构兰州大学 ; 北京师范大学 ; 新疆大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/351515
作者单位[Li, Huoqing; Liu, Zonghui; Mamtimin, Ali; Liu, Junjian; Ju, Chenxiang; Zhang, Hailiang] China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China; [Li, Huoqing] Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China; [Liu, Yongqiang] Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830002, Peoples R China; [Gao, Zhibo] Beijing Normal Univ, Coll Global Chang & Earth Syst Sci, Beijing 100088, Peoples R China
推荐引用方式
GB/T 7714
Li, Huoqing,Liu, Zonghui,Mamtimin, Ali,et al. A New Linear Relation for Estimating Surface Broadband Emissivity in Arid Regions Based on FTIR and MODIS Products[J]. 兰州大学, 北京师范大学, 新疆大学,2021,13(9).
APA Li, Huoqing.,Liu, Zonghui.,Mamtimin, Ali.,Liu, Junjian.,Liu, Yongqiang.,...&Gao, Zhibo.(2021).A New Linear Relation for Estimating Surface Broadband Emissivity in Arid Regions Based on FTIR and MODIS Products.REMOTE SENSING,13(9).
MLA Li, Huoqing,et al."A New Linear Relation for Estimating Surface Broadband Emissivity in Arid Regions Based on FTIR and MODIS Products".REMOTE SENSING 13.9(2021).
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