| Technology and Methodology |
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Extraction of snow cover information in sparse vegetation area based on spectral measurement and SRF by using MODIS data |
| LIU Yan1, LI Yang1, ZHANG Pu2 |
1. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;
2. Urumqi Meteorological Satellite Ground Station, Urumqi 830011, China |
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Abstract In this paper, the linear spectral mixture model (LSMM) was used for the spectral unmixing analysis of the Moderate Resolution Imaging Spectrometer (MODIS) data of the study area in Gurbantunggut desert. Using the spectral response function (SRF) of MODIS1-7 bands,the authors transformed the end-member spectrum quasi-synchronously collected by the full-band spectrometer (ASD) to the pixel spectra, thus generating the discrete spectrum of MODIS1-7 bands. Compared with the MODIS end-member spectra obtained by minimum noise fraction (MNF) transform and pixel purity index(PPI),the end-member spectral values of the first band of MODIS were much larger than the transformed spectrum values,but the spectral values of the MODIS2-7 bands were close to the transformed values. Therefore,selecting the image end-member spectral values of the MODIS2-7 bands,the authors used LSMM to estimate the abundance of snow in the sparse vegetation area appropriately. Fitting the estimated snow component value to the normalized difference snow index(NDSI),the authors found that a significant correlation exists between them after excluding MODIS1 band. The correlation coefficients show that the snow component can be a typical index of the snow cover.
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| Keywords
underground coal fire
surface temperature
inversion
verification
algorithm
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Issue Date: 21 February 2013
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| [1] 王锦地,李小文,张立新,等.中国典型地物标准波谱数据库建设[J].遥感学报,2003,7(sl):13-16. Wang J D,Li X W,Zhang L X,et al.Database construction for standard spectral of typical objects in China[J].Journal of Remote Sensing,2003,7(sl):13-16.[2] 张婷,丁建丽,王飞.基于实测端元光谱的多光谱图像光谱模拟研究[J].光谱学与光谱分析,2010,30(11):2889-2892. Zhang T,Ding J L,Wang F.Simulation of image multi-spectral using field measured endmember spectrum[J].Spectroscopy and Spectral Analysis,2010,30(11):2889-2892.[3] 潘明忠,元洪兴,肖功海,等.基于高精度端元的混合像元线性分解模型研究[J].红外与毫米波学报,2010,29(5):357-361. Pan M Z,Yuan H X,Xiao G M,et al.Study of mixed pixel linear unmixing model based on high accurate endmember[J].Journal of Infrared and Millimeter Waves,2010,29(5):357-361.[4] Chabrillat S,Pinet P C,Ceuleneer G,et al.Ronda peridotite massif:Methodology for its geological mapping and lithological discrimination from airborne hyper spectral data[J].International Journal of Remote Sensing,2000,21(12):2363-2388.[5] 李慧,陈健飞,余明.线性光谱混合模型的ASTER影像植被应用分析[J].地球信息科学,2005,7(1):103-106. Li H,Chen J F,Yu M.Auto-detection of land cover changes based satellite image fusion technique[J].Geo-information Science,2005,7(1):103-106.[6] Small C.Estimation of urban vegetation abundance by spectral mixture analysis[J].International Journal of Remote Sensing,2001,22(7):1305-1334.[7] 张熙川,赵英时.应用线性光谱混合模型快速评价土地退化的方法研究[J].中国科学院研究生院学报,1999,16(2):170-172. Zhang X H,Zhao Y S.Application of line spectral mixture model to rapid assessment of land degradation in semiarid area[J].Journal of Graduate School,Academia Sinica,1999,16(2):169-176.[8] 万军,蔡运龙.应用线性光谱分离技术研究喀斯特地区土地覆被变化——以贵州省关岭县为例[J].地理研究,2003,22(4):440-443. Wan J,Cai Y L.Applying linear spectral unmixing approach to the research of land cover change in karst area:A case in Guanling county of Guizhou Province[J].Geographical Research,2003,22(4):440-443.[9] 邹蒲,王云鹏,王志石,等.基于ETM+图像的混合像元线性分解方法在澳门植被信息提取中的应用及效果评价[J].华南师范大学学报:自然科学版,2007(7):131-136. Zou P,Wang Y P,Wang Z S,et al.Accessing the linear spectral un-mixing approach for extracting vegetation information using Landsat ETM+ data in Macao[J].Journal of South China Normal University:Natural Science Edition,2007(7): 131-136.[10] 饶萍.EOS-MODIS像元组分分解中端元的选择与改进[C]//《测绘通报》测绘科学前沿技术论坛摘要集,2008:1-10. Rao P.Choice and improvement of endmembers in EOS-MODIS pixel component unmixing[C]//Bulletin of Surveying and Mapping.Abstracts of Forum on Advanced Surveying and Mapping,2008:1-10.[11] 高晓惠,相里斌,魏儒义,等.基于光谱分类的端元提取算法研究[J].光谱学与光谱分析,2011,31(7):1995-1998. Gao X H,Xiang L B,Wei R Y,et al.Research on endmember extraction algorithm based on spectral classification[J].Spectroscopy and Spectral Analysis,2011,31(7):1995-1998.[12] 王福民,黄敬峰,唐延林,等.采用不同光谱波段宽度的归一化植被指数估算水稻叶面积指数[J].应用生态学报,2007,18(11):2444-2450. Wang F M,Huang H F,Tang Y L,et al.Estimation of rice LAI using NDVI at different spectral bandwidths[J].Chinese Journal of Applied Ecology,2007,18(11):2444-2450.[13] 冯琦胜,张学通,梁天刚.基于MOD10A1和AMSR-E的北疆牧区积雪动态监测研究[J].草业学报,2009,18(1):125-133. Feng Q S,Zhang X T,Liang T G.Dynamic monitoring of snow cover based on MOD10A1 and AMSR-E in the north of Xinjiang Province,China[J].Acta Prataculturae Sinica,2009,18(1):125-133.[14] 裴欢,房世峰,覃志豪,等.基于遥感的新疆北疆积雪盖度及雪深监测[J].自然灾害学报,2008,17(5):52-57. Pei H,Fang S F,Jia Z H,et al.Remote sensing-based monitoring of coverage and depth of snow in northern Xinjiang[J].Journal of Natural Disasters,2008,17(5):52-57.[15] 李宝林,张一驰,周成虎.天山开都河流域雪盖消融曲线研究[J].资源科学,2004,26(6):23-29. Li B L,Zhang Y C,Zhou C H.Snow cover depletion curve in Kaidu River basin,Tianshan Mountains[J].Resources Science,2004,26(6):23-29.[16] 陈晓娜,包安明,张红利,等.基于混合像元分解的MODIS积雪面积信息提取及其精度评价——以天山中段为例[J].应用气象学报,2004,15(6):665-671. Chen X N,Bao A M,Zhang H L,et al.A study on methods and accuracy assessment for extracting snow covered areas from MODIS images based on pixel unmixing:A case on the middle of the Tianshan Mountain [J].Journal of Applied Meteorological Science,2004,15(6):665-671.[17] 延昊,张国平.混合像元分解法提取积雪盖度[J].应用气象学报,2004,15(6):655-671. Yan H,Zhang G P.Unmixing method applied to NOAA-AVHRR data for snow cover estimation[J].Journal of Applied Meteorology,2004,15(6):655-671.[18] Painter T H,Dozier J,Roberts D A,et al.Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data[J].Remote Sensing of Environment,2003,85(1):64-77.[19] 崔耀平,刘彤,赵志平,等.干旱荒漠区植被覆盖变化的遥感监测分析[J].地理信息学报,2011(3):305-311. Cui Y P,Liu T,Zhao Z P,et al.Using multi spectral remote sensing data to extract and analyze the vegetation change of the western Gurbantunggut desert[J].地理信息学报,2011(3):305-311.[20] 崔耀平,王让会,刘彤,等.基于光谱混合分析的干旱荒漠区植被遥感信息提取研究——以古尔班通古特沙漠西缘为例[J].中国沙漠,2010,30(2):335-341. Cui Y P,Wang R H,Liu T,et al.Extraction of vegetation information in arid desert area based on spectral mixture analysis[J].Journal of Desert Research,2010,30(2):335-341. |
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2013,
Vol. 25
