玛纳斯河流域山区雪粒径HJ-1卫星反演

南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (5): 987–995.

玛纳斯河流域山区雪粒径HJ-1卫星反演

王剑庚^1,2,3,4，冯学智^2,3,4(，肖鹏峰^2,3,4，张学良^2,3,4，朱榴骏^2,3,4，耶楠^2,3,4，李云^2,3,4

出版日期:2015-09-14 发布日期:2015-09-14
作者简介:(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)
基金资助:
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 )

Retrieval of snow grain size using HJ-1 satellite in mountainous areas of Manasi River Basin

Wang Jiangeng1,2,3,4, Feng Xuezhi2,3,4*, Xiao Pengfeng2,3,4, Zhang Xueliang2,3,4, Zhu Liujun2,3,4, Ye Nan2,3,4, Li Yun2,3,4

Online:2015-09-14 Published:2015-09-14
About author:(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)

摘要/Abstract

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

王剑庚^1,2,3,4，冯学智^2,3,4(，肖鹏峰^2,3,4，张学良^2,3,4，朱榴骏^2,3,4，耶楠^2,3,4，李云^2,3,4. 玛纳斯河流域山区雪粒径HJ-1卫星反演[J]. 南京大学学报(自然科学版), 2015, 51(5): 987–995.

Wang Jiangeng1,2,3,4, Feng Xuezhi2,3,4*, Xiao Pengfeng2,3,4, Zhang Xueliang2,3,4, Zhu Liujun2,3,4, Ye Nan2,3,4, Li Yun2,3,4. 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.

参考文献

[1] 施雅风, 程国栋. 冰冻圈与全球变化. 中国科学院院刊, 1991, (4): 287-291.
[2] Wiscombe W J, Warren S G. A Model for the Spectral Albedo of Snow .1. Pure Snow. Journal of the Atmospheric Sciences, 1980, 37(12): 2712-2733.
[3] 曾群柱, 曹梅盛, 冯学智等. 我国西北若干种冰、雪及水体反射光谱特性的研究. 中国科学(B辑), 1984, (04): 370-377.
[4] Barnett T P, Adam J C, Lettenmaier D P. Potential impacts of a warming climate on water availability in snow-dominated regions. Nature, 2005, 438(7066): 303-309.
[5] 秦大河, 丁永建. 冰冻圈变化及其影响研究——现状、趋势及关键问题. 气候变化研究进展, 2009, 5(04): 187-195.
[6] Colbeck S C. The layered character of snow covers. Review of Geophysics, 1991, 29(1): 81-96.
[7] Warren S G. Optical properties of snow. Reviews of Geophysics and Space Physics, 1982, 20(1): 67-89.
[8] Dozier J, Painter T H. Multispectral and Hyperspectral Remote Sensing of Alpine Snow Properties. Annual Review of Earth and Planetary Sciences, 2004, 32(1): 465-494.
[9] Dozier J, Green R O. Nolin A W, et al. Interpretation of snow properties from imaging spectrometry. Remote Sensing of Environment, 2009, 113: S25-S37.
[10] Dozier J, Schneider S R, Jr, D F M. Effect of grain size and snowpack water equivalence on visible and near-infrared satellite observations of snow. Water Resources Research, 1981, 17(4): 1213-1221.
[11] Nolin A W, Dozier J. A hyperspectral method for remotely sensing the grain size of snow. Remote Sensing of Environment, 2000, 74(2): 207-216.
[12] 郝晓华, 山区雪盖面积和雪粒径光学遥感反演研究. 博士学位论文. 2009, 兰州: 中国科学院寒区旱区环境与工程研究所.
[13] Painter T H, Dozier J, Roberts D A, et al. Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data. Remote Sensing of Environment, 2003, 85(1): 64-77.
[14] Libbrecht K G, The physics of snow crystals. Reports on Progress in Physics, 2005, 68(4): 855-895.
[15] Fierz C, Armstrong R L, Durand Y, et al. The International Classification for Seasonal Snow on the Ground. 2009.
[16] Kokhanovsky A A, Zege E P. Scattering optics of snow. Applied Optics, 2004, 43(7): 1589-1602.
[17] Tedesco M, Kokhanovsky A A. The semi-analytical snow retrieval algorithm and its application to MODIS data. Remote Sensing of Environment, 2007, 111(2-3): 228-241.
[18] Lyapustin A, Tedesco M, Wang Y J, et al. Retrieval of snow grain size over Greenland from MODIS. Remote Sensing of Environment, 2009, 113(9): 1976-1987.
[19] Zege E P, Katsev I L, Malinka A V, et al. Algorithm for retrieval of the effective snow grain size and pollution amount from satellite measurements. Remote Sensing of Environment, 2011, 115(10): 2674-2685.
[20] Wiebe H, Heygster G, Zege E, et al. Snow grain size retrieval SGSP from optical satellite data: Validation with ground measurements and detection of snow fall events. Remote Sensing of Environment, 2013, 128: 11-20.
[21] 刘潮海, 谢自楚, 久尔盖诺夫. 天山冰川作用. 北京: 科学出版社，1998
[22] 杨针娘, 中国冰川水资源. 自然资源, 1987, (01): 46-68.
[23] 冯学智, 李文君, 史正涛等. 卫星雪盖监测与玛纳斯河融雪径流模拟. 遥感技术与应用, 2000, 15(01): 18-21.
[24] 林金堂, 冯学智, 肖鹏峰等. 基于MODIS数据的玛纳斯河山区雪盖年内变化特征研究. 遥感信息, 2012, (02): 20-24.
[25] Zege E, Katsev I, Malinka A, et al. New algorithm to retrieve the effective snow grain size and pollution amount from satellite data. Annals of Glaciology, 2008, 49(6): 139-144.
[26] Negi H S, Kokhanovsky A. Retrieval of snow albedo and grain size using reflectance measurements in Himalayan basin. Cryosphere, 2011, 5(1): 203-217.
[27] Kokhanovsky A A, Reflection of light from particulate media with irregularly shaped particles. Journal of Quantitative Spectroscopy & Radiative Transfer, 2005, 96(1): 1-10.
[28] Zege ? P, Ivanov A P, Kat?s?ev I L. Image transfer through a scattering medium. New York: Springer Verlag, 1991.
[29] 王剑庚, 玛纳斯河流域山区积雪粒径的HJ-1卫星多光谱数据反演研究. 博士学位论文. 南京: 南京大学, 2013.
[30] Richter R. Correction of satellite imagery over mountainous terrain. Applied Optics, 1998, 37(18): 4004-4015.
[31] Dozier J, Spectral Signature of Alpine Snow Cover from the Landsat Thematic Mapper. Remote Sensing of Environment, 1989, 28: 9-22.
[32] Perez R, Ineichen P, Seals R, et al. Modeling daylight availability and irradiance components from direct and global irradiance. Solar Energy, 1990, 44(5): 271-289.
[33] Dozier J, Frew J. Rapid calculation of terrain parameters for radiation modeling from digital elevation data. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28(5): 963-969.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed