光谱学与光谱分析 |
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Spectrum Similarities-Based Analysis of Spatial Difference of Snow Cover for Multi-Scale Satellite Data—a Case Study of MODIS and HJ-1B Data |
LIU Yan1, LI Yang1, YANG Yun2, JIAN Ji3 |
1. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China 2. College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054,China 3. Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the P. R. China, Chengdu University of Technology, Chengdu 610059, China |
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Abstract Vegetation and bare soil were collected in the areas of Miyaluo district in northwest of Sichuan province, the Qilian Mountains in Qinghai province and northern areas of Xinjiang during the years of 2007 and 2013. Then these data were converted to spectral reflectance by applying sensor response function of MODIS and HJ-1B respectively within the range of visible light, near-infrared and shortwave infrared. Comprehensive analysis was made on spectral characteristics and reflectivity similarities and differences of different sensors between old and new snowmelt, under the condition of different snow depth and different snow cover. The conclusions can be drawn. That is, there exists high consistency of spectral response between new snow and dirty snow for each sensor in the visible wavelength range, also it is true for bare soil and low vegetation. However, low consistency happens to other types of snow; especially snowmelt and frozen snow. The range of NDSI is relatively stable under the condition of different snow depth for full snow cover and the trend of NDSI shows great consistency for different sensors; NDSI threshold method for monitoring snow by using MODIS and HJ-1B data showed very obvious difference in spatial scales, which is a reasonable explanation of the existence of mixed pixels.
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Received: 2013-05-21
Accepted: 2013-12-08
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Corresponding Authors:
LIU Yan
E-mail: liuyan@idm.cn
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[1] Salomonson V V, Appell I. Remote Sensing of Environment, 2004, 89(3): 351. [2] PAN Ming-zhong, YUAN Hong-xing, XIAO Gong-hai, et al(潘明忠,元洪兴,肖功海,等). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2010,29(5): 357. [3] WANG Fu-min, HUANG Jing-feng, TANG Yan-lin, et al(王福民,黄敬峰,唐延林,等). Chinese Journal of Applied Ecology(应用生态学报), 2007,18(11): 2444. [4] Hall D K, Riggs G A, Salomonson V V. Remote Sensing of Environment, 1995, 54: 127. |
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