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[1]王剑庚,冯学智(,肖鹏峰,等.玛纳斯河流域山区雪粒径HJ-1卫星反演[J].南京大学学报(自然科学),2015,51(5):987-995.[doi:10.13232/j.cnki.jnju.2015.009]
 Wang Jiangeng,Feng Xuezhi*,Xiao Pengfeng,et al.Retrieval of snow grain size using HJ-1 satellite in mountainous areas of Manasi River Basin[J].Journal of Nanjing University(Natural Sciences),2015,51(5):987-995.[doi:10.13232/j.cnki.jnju.2015.009]
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玛纳斯河流域山区雪粒径HJ-1卫星反演()
     

《南京大学学报(自然科学)》[ISSN:0469-5097/CN:32-1169/N]

卷:
51
期数:
2015年第5期
页码:
987-995
栏目:
出版日期:
2015-10-01

文章信息/Info

Title:
Retrieval of snow grain size using HJ-1 satellite in mountainous areas of Manasi River Basin
作者:
王剑庚1234冯学智234(肖鹏峰234张学良234朱榴骏234耶楠234李云234
(1.中国气象局气溶胶与云降水重点开放实验室,南京信息工程大学,南京,210044; 2. 江苏省地理信息技术重点实验室,南京大学,南京,210023; 3. 卫星测绘技术与应用国家测绘地理信息局重点实验室,南京大学,南京,210023; 4. 南京大学地理信息科学系,南京,210023)
Author(s):
Wang Jiangeng1234 Feng Xuezhi234* Xiao Pengfeng234 Zhang Xueliang234 Zhu Liujun234 Ye Nan234 Li Yun234
(1. Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China; 2. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing? China; 3. Key Laboratory for Satellite Mapping Technology and Applications of State Administration of Surveying, Mapping and Geoinformation of? China; 4. Department of Geographic Information Science, Nanjing China)
关键词:
玛纳斯河流域 H J - 1 渐近式辐射传输模型 雪粒径反演
Keywords:
Manasi river basin HJ-1 asymptotic radiative transfer theory satellite-retrieved snow grain size
分类号:
-
DOI:
10.13232/j.cnki.jnju.2015.009
文献标志码:
-
摘要:
雪粒径是影响雪面能量收支和表征积雪状态的重要参数, 利用遥感手段定量反演雪粒径信息对雪水当量估算、 流域水资源管理和局地气候变化研究等具有重要意义 . 针对新疆玛纳斯河流域山区积雪表层粒径地遥感反演, 以渐近式辐射传输模型为基础建立雪粒径反演模型, 利用 H J - 1 卫星多光谱数据得到玛纳斯河流域山区冬季积雪期和春季融雪期的雪粒径反演结果, 并利用地面实测数据对反演结果进行验证, 最后分析雪粒径随海拔的分布特征 . 结果表明: 建立的雪粒径反演模型能够较好地描述雪粒径与卫星遥感信号间的定量关系; 雪粒形状对反演结果影响较大, 当选择适当的雪粒形状时, 雪面粒径反演值与实测值较为吻合; 海拔对雪面粒径的分布影响较大 .
Abstract:
Snow grain size is a key parameter to control the snow surface energy balance and represent the state of snow. The quantitative retrieval of surface snow grain size using remote sensing techniques is significant to many researches on the estimation of snow water equivalent, basin water resources management and local climate change. In this study i) a snow grain size retrieval model was developed based on Asymptotic Radiative Transfer (ART) model for the mountainous areas in Manasi River Basin, Xinjiang Province; ii) the snow grain size in both winter snow accumulating and spring snow melting periods was obtained using the multi-spectral observations from the environment and disaster monitoring and forecasting satellite (HJ-1); iii) the retrieval results were validated using the ground sampling data; and iv) the grain size distribution in altitude was analyzed. It was found that the developed model can accurately describe the relationship between snow grain size and remote sensing data; the snow grain shape has a considerable impact on the retrieval accuracy that retrieved snow grain size has a good agreement with ground measurements only when proper snow grain shape was considered in the model; the distribution of snow grain size is dependent significantly on altitude

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备注/Memo

备注/Memo:
国家高分辨率对地观测系统重大专项( 9 5 Y 4 0 B 0 2 9 0 0 1 1 3 / 1 5 0 4 ) , 国家自然科学基金( 4 1 2 7 1 3 5 3 , 4 1 4 0 1 4 8 1 ) ,
江苏省自然科学基金( B K 2 0 1 4 0 9 9 7 ) , 江苏省高校自然科学研究项目(1 4 K J B 1 7 0 0 1 7 )
更新日期/Last Update: 2015-09-14