Please wait a minute...
img

官方微信

遥感技术与应用  2015, Vol. 30 Issue (1): 178-185    DOI: 10.11873/j.issn.1004-0323.2015.1.0178
模型与反演     
基于多源数据的阿勒泰地区雪深反演研究
侯小刚1,张璞1,郑照军2,李帅1
(1.乌鲁木齐气象卫星地面站,新疆 乌鲁木齐830011;
2.国家卫星气象中心,北京100081)
Study of Snow Depth Retrieval based on Multi-source Data about Aletai Area
Hou Xiaogang1,Zhang Pu1,eng Zhaojun2,Li Shuai1
(1.Urumqi Meteorological Satellite Ground Station,Urumqi 830011,China;
2.National Satellite Meteorological Center,China Meteorological Administration,Beijing 100081,China)
 全文: PDF(3841 KB)  
摘要:

利用阿勒泰地区 2010~2012年冬季(11月~次年2月)3类积雪数据:风云三号微波成像仪(FY\|3/MWRI)反演的雪深数据、美国人机交互式多仪器冰雪制图系统(IMS)积雪面积数据、阿勒泰及周边地区实测雪深数据,进行积雪深度的反演研究。通过结合3类积雪数据的各自优势,建立修正模型,最终得到较准确的研究区雪深数据。同时通过编程实现了相应模型的操作平台,为今后研究区积雪业务化监测做好准备。结果表明:模型提高了FY\|3/MWRI数据反演阿勒泰地区积雪深度的准确性,改善了FY\|3/MWRI数据在阿勒泰地区雪深反演偏低的缺点,使微波与实测平均雪深误差由修正前的21.7~12.1 cm缩小为修正后的3.7~1.5 cm。

关键词: 多源数据阿勒泰地区雪深反演修正模型积雪深度被动微波遥感风云3号微波成像仪人机交互式冰雪制图系统    
Abstract:

Using three kinds of winter (November to February)snow data between 2010~2012 in Altay region study snow depth retrieval.Study data include retrieval of snow depth by FY-3/MWRI data,snow cover data from U.S.NATIONAL ICE CENTER Interactive Snow and Ice Mapping System ( IMS),and measured snow depth in and around Altay region.Through combining advantages of these three types data built a correction model of snow depth retrieval,eventually got a better result of snow depth retrieval in the study region.Meanwhile achieved the corresponding model platform by programming,for operational monitoring snow depth of the study area in the future.The result indicates that the model is able to improve the accuracy and reliability of snow depth retrieval by FY\|3/MWRI data,eliminating the drawback that retrieval of snow depth by FY\|3/MWRI in Altay region is lower than that measured,narrowing the gap between microwave and measured average snow depth from 21.7~12.1 cm before modification,to 3.7~1.5 cm after modification.

Key words: Multi-source Data    Aletai area    Snow Depth retrieval    Correction model    Snow depth    Passive microwave    Remote sensing    FY-3MWRI    IMS
收稿日期: 2013-11-27 出版日期: 2015-03-11
:  TP 79  
基金资助:

自治区科技计划项目“基于风云气象卫星数据的新疆积雪及融雪型洪水监测研究”(201133131)项目资助。

通讯作者: 张璞(1972-),男,甘肃兰州人,高级工程师,主要从事积雪遥感方面的研究。Email:15999129895@163.com。    
作者简介: 侯小刚(1985-),男,甘肃天水人,助理工程师,主要从事积雪遥感方面的研究。Email:xhou05@qq.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  
侯小刚
张璞
郑照军
李帅
侯小刚
张璞
郑照军
李帅

引用本文:

侯小刚,张璞,郑照军,李帅. 基于多源数据的阿勒泰地区雪深反演研究[J]. 遥感技术与应用, 2015, 30(1): 178-185.

Hou Xiaogang,Zhang Pu,Zheng Zhaojun,Li Shuai. Study of Snow Depth Retrieval based on Multi-source Data about Aletai Area. Remote Sensing Technology and Application, 2015, 30(1): 178-185.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.1.0178        http://www.rsta.ac.cn/CN/Y2015/V30/I1/178

[1]Sun Shaobo,Che Tao,Wang Shuhuo,et al.Snow Cover Area Retrival Using C-band SAR in Mountain Areas[J].Remote Sensing Technology and Application,2013,28(3):444-452.[孙少波,车涛,王树果,等.C波段SAR山区积雪面积提取研究[J].遥感技术与应用,2013,28(3):444-452.]

[2]Guo Cheng,Li Boyuan,Yang Sen.Analysis of Climate Characteristic of Heavy Snowstorm in Altay Region of Xinjiang[J].Journal of Arid Meteorology,2012,30(4):604-608.[郭城,李博渊,杨森.新疆阿勒泰地区大到暴雪天气气候特征[J].干旱气象,2012,30(4):604-608.]

[3]Che Tao.Impacts on Passive Microwave Remote Sensing of Snow from Heterogeneities of Snow Properties[J].Remote Sensing Technology and Application,2013,28(1):27-33.[车涛.积雪属性非均匀性对被动微波遥感积雪的影响[J].遥感技术与应用,2013,28(1):27-33.]

[4]Hao Xiaohua,Zhang Pu,Wang Jian,et al.Evaluation and Comparison of MODIS and VEGETATION Snow Cover Products in Northern Xinjiang,China[J].Remote Sensing Technology and Application,2009,24(5):603-610.[郝晓华,张璞,王建,等.MODIS和VEGETATION雪盖产品在北疆的验证及比较[J].遥感技术与应用,2009,24(5):603-610.]

[5]Jin Y Q.Simulation of Amulti-layer Model of Dense Seaterers for Anomalous Scattering Signatures from SSM/I Snow Data[J].International Journal of Remote Sensign,1997,18(12):2531-2538.

[6]Shi J,Dozier J.Estimation of Snow Water Equivalence Using SIR-C/X-SAR.II.Inferring Snow Depth and Particle Size[J].IEEE Transaction on Geoscience and Remote Sensing,2000,38(6):2475-2488.

[7]Huang Xinyu,Fen Yun.The Development of Study on the Snow Ice Using Microwave Remote Sensing Data[J].Remote Sensing Technology and Application,2004,19(6):533-536.[黄新宇,冯筠.冰雪微波遥感研究进展[J].遥感技术与应用,2004,19(6):533-536.]

[8]Che Tao,Li Xin.Retrieval of Snow Depth in China by Passive Microwave Remote Sensing Data and Its Accuracy Assessment[J].Remote Sensing Technology and Application,2004,19(5):301-306.[车涛,李新.利用被动微波遥感数据反演我国积雪深度及其精度评价[J].遥感技术与应用,2004,19(5):301-306.]

[9]Tang Zhiguang,Wang Jian,Li Hongyi,et al.Accuracy Validation and Cloud Obscuration Removal of MODIS Fractional Snow Cover Products over Tibetan Plateau[J].Remote Sensing Technology and Application,2013,28(3):423-430.[唐志光,王建,李弘毅,等.青藏高原MODIS积雪面积比例产品的精度验证与去云研究[J].遥感技术与应用,2013,28(3):423-430.][10]Zhao Liang,Zhu Yuxiang,Cheng Liang,et al.A Dynamic Approach to Retrieving Snow Depth based on Integration of Remote Sensing and Observed Data[J].Journal of Applied Meteorological Science,2010,21(6):685-697.[赵亮,朱玉祥,程亮,等.遥感-测站相结合的动态雪深反演方法初探[J].应用气象学报,2010,21(6):685-697.]

[11]Liu Yujie,Zheng Zhaojun,Wang Libo.Remote Sensing on Snow Cover and Variation Analyzing in West of China[J].Climatic and Environmental Research,2005,8(1):114-123.[刘玉洁,郑照军,王丽波.我国西部地区冬季雪盖遥感和变化分析[J].气候与环境研究,2005,8(1):114-123.]

[12]Li Xin,Che Tao.A Review on Passive Microwave Remote Sensing of Snow[J].Journal of Glaciology and Geocryology,2007,29(3):487-496.[李新,车涛.积雪被动微波遥感研究进展[J].冰川冻土,2007,29(3):487-496.]

[13]Chang A T C,Foster J L,Hall D K.Nibus27 SMMR Derived Global Snow Cover Parameters[J].Annals of Glaciology,1987,9:39-44.

[14]Foster J L,Chang A T C,Hall D K.Comparison Snow Mass Estimates from a Prototype Passive Microwave Snow Algorithm,a Revised Algorithm and Snow Depth Climatology[J].Remote Sensing of Enviroment,1997,62:132-142.

[15]Wu Shengli,Yang Hu.Global Land Surface Temperature Retrieval with AMSR-E Brightness Temperature and MODIS Land Cover Type Products[J].Remote Sensing Technology and Application,2007,22(2):324-327.[武胜利,杨虎.AMSR-E亮温数据与MODIS陆表分类产品结合反演全球陆表温度[J].遥感技术与应用,2007,22(2):324-327.]

[16]Sun Zhiwen,Shi Jiancheng,Yang Hu,et al.A Study on Snow Depth Estimating and Snow Water Equivalent Algorithm for FY-3 MWRI[J].Remote Sensing Technology and Application,2007,22(2):264-267.[孙知文,施建成,杨虎,等.风云三号微波成像仪积雪参数反演算法初步研究[J].遥感技术与应用,2007,22(2):264-267.]

[17]Wang Guoya,Mao Weiyi,He Bin,et al.Changes in Snow Covers during 1961~2011 and Its Effects on Frozen Ground in Altay Region,Xinjiang[J].Journal of Glaciology and Geocryology,2012,34(6):1293-1300.[王国亚,毛炜峄,贺斌,等.新疆阿勒泰地区积雪变化特征及其对冻土的影响[J]冰川冻土,2012,34(6):1293-1300.]

[18]Liu Xingyuan,Chen Quangong,Liang Tiangang,et al.Establishment of Snow Disaster Remote Sensing Monitoring and Damage Estimation Systems in Altai Pastoral Region of Xinjiang[J].Chinese Journal of Applied Ecology,2006,17(2):215-220.[刘兴元,陈全功,梁天刚,等.新疆阿勒泰牧区雪灾遥感监测体系构建与灾害评价系统研究[J].应用生态学报,2006,17(2):215-220.]

[1] 王卷乐, 程凯, 边玲玲, 韩雪华, 王明明. 面向SDGs和美丽中国评价的地球大数据集成框架与关键技术[J]. 遥感技术与应用, 2018, 33(5): 775-783.
[2] 王鹏龙,高峰,黄春林,宋晓谕,王宝,魏彦强,牛艺博. 面向SDGs的城市可持续发展评价指标体系进展研究[J]. 遥感技术与应用, 2018, 33(5): 784-792.
[3] 王恺宁,王修信,黄凤荣,罗涟玲. 喀斯特城市地表温度遥感反演算法比较[J]. 遥感技术与应用, 2018, 33(5): 803-810.
[4] 张晓峰,吕晓琪,张信雪,张继凯,王月明,谷宇,樊宇. 多时刻海色遥感数据融合及其可视化[J]. 遥感技术与应用, 2018, 33(5): 873-880.
[5] 谢旭,陈芸芝. 基于PSO-RBF神经网络模型反演闽江下游水体悬浮物浓度[J]. 遥感技术与应用, 2018, 33(5): 900-907.
[6] 迟文峰,匡文慧,贾静,刘正佳. 京津风沙源治理工程区LUCC及土壤风蚀强度动态遥感监测研究[J]. 遥感技术与应用, 2018, 33(5): 965-974.
[7] 胡云锋,商令杰,张千力,王召海. 基于GEE平台的1990年以来北京市土地变化格局及驱动机制分析[J]. 遥感技术与应用, 2018, 33(4): 573-583.
[8] 李晨伟,张瑞丝,张竹桐,曾敏 . 基于多源遥感数据的构造解译与分析—以西藏察隅吉太曲流域为例[J]. 遥感技术与应用, 2018, 33(4): 657-665.
[9] 李生生,王广军,梁四海,彭红明,董高峰,罗银飞. 基于Landsat-8 OLI数据的青海湖水体边界自动提取[J]. 遥感技术与应用, 2018, 33(4): 666-675.
[10] 廖凯涛,齐述华,王成,王点. 结合GLAS和TM卫星数据的江西省森林高度和生物量制图[J]. 遥感技术与应用, 2018, 33(4): 713-720.
[11] 张震,刘时银,魏俊锋,蒋宗立. 1974~2012年珠穆朗玛峰地区冰川物质平衡遥感监测研究[J]. 遥感技术与应用, 2018, 33(4): 731-740.
[12] 王琳,徐涵秋,李胜. 重钢重工业区迁移对区域生态的影响研究[J]. 遥感技术与应用, 2018, 33(3): 387-397.
[13] 任浙豪,周坚华. 增大特征空间复杂度的方法——以城镇下垫面遥感分类为[J]. 遥感技术与应用, 2018, 33(3): 408-417.
[14] 王宝刚,晋锐,赵泽斌,亢健. 被动微波遥感在地表冻融监测中的应用研究进展[J]. 遥感技术与应用, 2018, 33(2): 193-201.
[15] 秦振涛,杨茹,张靖,杨武年. 基于聚类结构自适应稀疏表示的高光谱遥感图像修复研究[J]. 遥感技术与应用, 2018, 33(2): 212-215.