Please wait a minute...
img

官方微信

遥感技术与应用  2010, Vol. 25 Issue (2): 245-250    DOI: 10.11873/j.issn.1004-0323.2010.2.245
研究与应用     
长春地区云检测及云相态反演研究

杨春燕1,陈圣波1,包书新2,宋金红3
1.吉林大学地球探测科学与技术学院,吉林 长春 130026;
2.中国人民解放军91422部队气象台,山东 烟台  265200;
3.吉林农业大学资源与环境学院,吉林 长春  130118
Study on Cloud Detection and Cloud Phase Retrieval in Changchun Area
YANG Chun-yan1,CHEN Sheng-bo1,BAO Shu-xin2,SONG Jin-hong3
1.College of Geoexplore Science and Technology,Jilin University,Changchun 130026,China;
2.Weather Station of 91422,PLA,Yantai 265200,China;
3.School of Resources and Environment,Jilin Agricultural University,Changchun 130118,China
 全文: PDF(3531 KB)  
摘要:

采用经ENVI几何校正、定标及裁剪等预处理的2008年10月1日04:25和18:00(UTM)的MODIS L1B数据,利用MODIS云检测Ackerman方法及云相态反演红外二光谱技术,对长春地区进行了云检测和云相态反演。从检测及反演结果中看出,云检测及白天云相态反演效果都很好,而在夜晚条件下,由于低温,存在较大面积的不确定相态区域。

关键词: 云检测云相态MODIS长春地区    
Abstract:

According to the Ackerman's MODIS cloud detection technology and bispectral IR method,cloud detection and cloud phase retrieval in Changchun were conducted using MODIS L1B data at 04:25 and 18:00 on October 1,2008 (UTM).The data were geometric corrected,calibrated and clipped by ENVI before being used.The results showed that the cloud detection and day cloud phase retrieval were effective,but the night cloud phase retrieval was not so effective owing to the low temperature in the night.

Key words: Cloud detection    Cloud phase    MODIS    Changchun area
收稿日期: 2009-06-01 出版日期: 2010-10-19
基金资助:

国家自然科学基金项目(40471086),国家863计划项目(2006AA12Z102)。

作者简介: 杨春燕(1984-),女,硕士研究生,主要从事遥感与GIS方面的研究。E-mail:ycy2002b@163.com。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
杨春燕
陈圣波
包书新
宋金红

引用本文:

杨春燕, 陈圣波, 包书新, 宋金红. 长春地区云检测及云相态反演研究[J]. 遥感技术与应用, 2010, 25(2): 245-250.

YANG Chun-yan, CHEN Sheng-bo, BAO Shu-xin, SONG Jin-hong. Study on Cloud Detection and Cloud Phase Retrieval in Changchun Area. Remote Sensing Technology and Application, 2010, 25(2): 245-250.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.2.245        http://www.rsta.ac.cn/CN/Y2010/V25/I2/245

[1]Rossow W B,Mosher R,Kinsella E,et al.ISCCP Cloud Algorithm Intercomparison[J].Journal of Climate and Applied Meteorology,1985,24:877-903.
[2]Saunders R W,Kriebel K T.An Improved Method for Detecting Clear Sky and Cloudy Radiances from AVHRR Data[J].International Journal of Remote Sensing,1988,9:123-150.
[3]Stowe L L,McClain E P,Carey R,et al.Global Distribution of Cloud Cover Derived from NOAA/AVHRR Operational Satellite Data[J].Advances in Space Research,1991,11:51-54.
[4]Wylie D P,Menzel W P.Two Years of Cloud Cover Statistics Using VAS[J].Journal of Climate and Applied Meteorology,1989,2:380-392.
[5]Houghton J T,Hunt G E.The Detection of Ice Clouds from Remote Measurements of Their Emission in the Far Infra2red[J].Quarterly Journal of the Royal Meteorological Society,1971,97:1-17.
[6]Booth A L.Objective Cloud Type Classification Using Visual and Infrared Satellite Data[C]//Third Conference on Probability and Statistics in the Atmospheric Science,1973,220-227.
[7]Inoue T A.Cloud Type Classification with NOAA 7 Split Window Measurements[J].Journal of Geophysical Research,1987,92:3991-4000.
[8]Strabala K I,Ackerman S A,Menzel W P.Cloud Properties Inferred from 8212 μm Data[J].Journal of Applied Meteorology,1994,33:212-229.
[9]Ackerman S A,Strabala K I,Menzel W P,et al.Discriminating Clear-Sky from Cloud with MODIS Algorithm Theoretical Basic Document(MOD35) Version 5.0[EB/OL].http://modis.gsfc.nasa.gov/data/atbd /atbd_mod06.pdf.2009-2-16.
[10]Menzel W P,Richard A F,Bryan A B,et al.Cloud Top Properties and Cloud Phase Algorithm Theoretical Basic Document Version 7[EB/OL].http://modis-atmos.gsfc.nasa.gov/_docs/MOD06CT:MYD06CT_ATBD _C005.pdf.2009-2-17.
[11]Bryan A B,Richard A F,Kathy I S,et al.Cloud Thermodynamic Phase Retrievals Using MODIS Multispectral Data[EB/OL].http://www.ssec.wisc.edu/~baum/CloudPhase/CloudPhase.html,2009-3-10.
[12]MODIS云检测数据产品参考规范[EB/OL].http://www.nfiieos.cn/html/criterion/cloud/02-1.htm,2008-9-16.
[13]Bao Shuxin.Cloud Recognition Using MODIS Data[D].Jilin University,2008.[包书新.基于MODIS数据的云识别研究[D].吉林大学,2008.]
[14]Zhao Wenhua,Shan Haibin,Zhong Ruxiang.An Overview of MODIS Data Format and Application Algorithm[J].Meteorological and Environmental Sciences,2007,30(1):44-48.[赵文化,单海滨,钟儒祥.MODIS遥感数据格式及使用方法综合分析[J].气象与环境科学,2007,30(1):44-48.]
[15]Liu Yujie,Yang Zhongdong.Theory and Algorithm of MODIS Data Processing[M].Beijing:Scientific Press,2001:109-111.[刘玉洁,杨忠东.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001:109-111.][16]MODIS云检测的阈值标准[EB/OL].http://www.nfiieos.cn/html/criterion/cloud/02-fulu.com,2009-9-16.[17]Richard A F,Steven A A,LIU Y H,et al.Cloud Detection with MODIS.Part Ⅰ:Improvements in the MODIS Cloud Mask for Collection 5[J].Journal of Atmospheric and Oceanic Technology,2008,25:1057-1072.[18]Riedi J,Marchant B,Platnick S,et al.Cloud Thermodynamic Phase Inferred from Merged POLDER and MODIS Data[J].Atmospheric Chemistry and Physics Discussions,2007,7:14103-14137.

 

[1] 金点点,宫兆宁. 基于Landsat 系列数据地表温度反演算法对比分析—以齐齐哈尔市辖区为例[J]. 遥感技术与应用, 2018, 33(5): 830-841.
[2] 冯姣姣,王维真,李净,刘雯雯. 基于BP神经网络的华东地区太阳辐射模拟及时空变化分析[J]. 遥感技术与应用, 2018, 33(5): 881-889.
[3] 汪航,师茁. 基于MODIS时间序列数据的春尺蠖虫害遥感监测方法研究—以新疆巴楚胡杨为例[J]. 遥感技术与应用, 2018, 33(4): 686-695.
[4] 郭俊杰,姚志刚. TG-2多角度偏振成像仪云相态识别机载验证试验[J]. 遥感技术与应用, 2018, 33(3): 439-448.
[5] 拉巴卓玛,次珍. 2002~2015年西藏雅鲁藏布江流域积雪变化及影响因子分析研究[J]. 遥感技术与应用, 2018, 33(3): 508-519.
[6] 张帅,师春香,梁晓,贾炳浩,吴捷. 风云三号积雪覆盖产品评估[J]. 遥感技术与应用, 2018, 33(1): 35-46.
[7] 孙晓,吴孟泉,何福红,张安定,赵德恒,李勃 . 2015年黄海海域浒苔时空分布及台风“灿鸿”影响研究[J]. 遥感技术与应用, 2017, 32(5): 921-930.
[8] 黎微微,胡斯勒图,陈洪滨,尚华哲. 利用MODIS资料计算不同云天条件下的地表太阳辐射[J]. 遥感技术与应用, 2017, 32(4): 643-650.
[9] 姜涛,朱文泉,詹培,唐珂,崔雪锋,张天一. 一种抗时序数据噪声的冬小麦识别方法研究[J]. 遥感技术与应用, 2017, 32(4): 698-708.
[10] 许青云,顾伟伟,谢涛,刘锐. 秸秆焚烧火点遥感监测算法实现[J]. 遥感技术与应用, 2017, 32(4): 728-733.
[11] 唐志光,王建,王欣,彭焕华,梁继. 近15年天山地区积雪时空变化遥感研究[J]. 遥感技术与应用, 2017, 32(3): 556-563.
[12] 葛美香,赵军,仲波,杨爱霞. FY-3/VIRR及MERSI与EOS/MODIS植被指数比较与差异原因分析[J]. 遥感技术与应用, 2017, 32(2): 262-273.
[13] 杨志刚,达娃,除多. 近15 a青藏高原积雪覆盖时空变化分析[J]. 遥感技术与应用, 2017, 32(1): 27-36.
[14] 于小淇,邱玉宝,阮永俭,石利娟,拉巴卓玛. 高亚洲地区无云积雪遥感二值产品对比和精度验证分析[J]. 遥感技术与应用, 2017, 32(1): 37-48.
[15] 邵东航,李弘毅,王建,郝晓华,王润科,马媛. 基于多源遥感数据的积雪反照率反演研究[J]. 遥感技术与应用, 2017, 32(1): 71-77.