Please wait a minute...


遥感技术与应用  2012, Vol. 27 Issue (5): 663-670    DOI: 10.11873/j.issn.1004-0323.2012.5.663
马明国1,宋 怡2,王旭峰1,韩辉邦3,于文凭1
(1.中国科学院寒旱区观测系统试验站,甘肃 兰州 730000;2.中国科学院地球环境研究所,陕西 西安 710075;3.安徽农业大学,安徽 合肥 230036)
Development Status and Application Research of the Time Series Remote Sensing Data Products based on AVHRR,VEGETATION and MODIS
Ma Mingguo1,Song Yi2,Wang Xufeng1,Han Huibang3,Yu Wenping1
(1.Cold and Arid Region Remote Sensing Observation System Experimental,CAREERI,Chinese Academy of Sciences,Lanzhou 730000, China;2.Institute of Earth Environment Chinese Academy of Sciences,Xi an 710075,China;3.Anhui Agricultural University,Hefei 230036,China)
 全文: PDF(978 KB)  

全球时间系列卫星遥感产品自产生之日起就得到了高度关注,被广泛地应用于全球、洲际和区域的地表动态监测,并与气温、降水等气候变化表征参数结合起来,应用于全球变化分析。随着时间系列的逐渐延长和新兴传感器的不断涌现,时间系列遥感产品的内容和应用领域更是得到了极大扩展。主要介绍了:①当前国际上流行的可见光/近红外、短波红外和热红外时间系列卫星数据产品的发展现状,传感器主要包括AVHRR、VEGETATION和MODIS。早期以开发波段信息和植被指数等基础数据为主,当前大量专题产品的生产得到广泛开展;② 在数据产品的进一步处理和分析方面,重点介绍了时间系列重建、比较和延长、产品真实性检验的研究进展和发展趋势;③在数据产品应用方面,重点介绍了地表覆被特征的动态监测、物候和种植结构等信息提取、遥感产品在模型中的应用等方面的研究进展和发展趋势。


The global time series satellite remote sensing product has caught worldwide attention since it is developed.It is widely used in the global, intercontinental and regional dynamic monitoring of the surface features.It is also used to analyze the global changes by integrating with some climate change parameters (e.g.air temperature,precipitation).The contents and application areas of the time series remote sensing product extends greatly as the time series increases gradually and new sensors are constantly emerging.The development status of the currently international popular satellite remote sensing products (visible,near infrared,short wave infrared and thermal infrared bands) are introduced in this paper.The satellite sensors mainly include AVHRR,VEGETATION,and MODIS.The early researches mainly focused on the basic data preparation,which concentrates on the band information of visible-near infrared band reflectance and thermal infrared bright temperature,vegetation indexes.The thematic products,such as leaf area index and land surface temperature,are retrieved and estimated by these basic data products at present.The research progress and development trends of the further data processing,analysis,and application of the data product are introduced in detail.The data processing includes time series reconstruction,comparison and conversion,validation.The data application includes dynamic monitoring of the surface features, information extraction of phenology and planting structure,modeling application.

Key words: Time series    Remote sensing data product    AVHRR    VEGETATION    MODIS
收稿日期: 2012-05-09 出版日期: 2012-10-17
:  TP 391  


作者简介: 马明国(1976-),男,湖北宜昌人,研究员,主要从事中国西北生态和陆面过程遥感研究。。
E-mail Alert
宋 怡


马明国,宋 怡,王旭峰,韩辉邦,于文凭. AVHRR、VEGETATION和MODIS时间系列遥感数据产品现状与应用研究进展[J]. 遥感技术与应用, 2012, 27(5): 663-670.

Ma Mingguo,Song Yi,Wang Xufeng,Han Huibang,Yu Wenping. Development Status and Application Research of the Time Series Remote Sensing Data Products based on AVHRR,VEGETATION and MODIS. Remote Sensing Technology and Application, 2012, 27(5): 663-670.


[1]Wang Xuemei,Gao Feng,Ma Mingguo.Introduction of Global Land Imaging Satellites[J].Remote Sesning Technology and Application,2006,21(6):607-611.[王雪梅,高峰,马明国.全球民用陆地成像卫星概览[J].遥感技术与应用,2006,21(6):607-611.]

[2]Ma Mingguo,Wang Jian,Wang Xuemei.Advance in the Inter-annual Variability of Vegetation and Its Relation to Climate based on Remote Sensing[J].Journal of Remote Sensing,2006,10(3):421-431.[马明国,王建,王雪梅.基于遥感的植被年际变化及其与气候关系研究进展[J].遥感学报,2006,10(3):421-431.]

[3]Wang Zhengxing,Suo Yuxia,Lin Xin,et al.Advances in AVHRR Global Time Serials:PAL-GIMMS-LTDR[J].Resources Sciences,2008,30(8):1252-1260.[王正兴,索玉霞,林昕,等.AVHRR全球时间序列研究进展:PAL-GIMMS-LTDR[J].资源科学,2008,30(8):1252-1260.]

[4]Pedelty D R,Vermonte E,Crystal S,et al.Generating a Long-Term Land Data Record from AVHRR and MODIS Instruments[C]//Proceedings of International Geoscience and Remote Sensing Symposium,Barce Lona,2007:1021-1025.

[5]Ma M G,Frank V.Reconstructing Pathfinder AVHRR Land NDVI Time-series Data for the Northwest of China[J].Advances in Space Research,2006,37:835-840.

[6]Viovy N,Arino O,Belward A S.The Best Index Slope Extraction (BISE):A Method for Reducing Noise in NDVI Time Series[J].International Journal of Remote Sensing,1992,13:1585-1590.

[7]Roerink G J,Menenti M,Verhoef W.Reconstructing Cloud-free NDVI Composites Using Fourier Analysis of Time Series[J].International Journal of Remote Sensing,2000,21(9):1911-1917.

[8]Chen J,Jnsson P,Masayuki T,et al.A Simple Method for Reconstructing a High-Quality NDVI Time-series Data Set based on the Savitzky-Golay Filter[J].Remote Sensing of Environment,2004,91:332-344.

[9]Jnsson P,Eklundh L.Seasonality Extraction by Function Fitting to Time-series of Satellite Sensor Data[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(8):1824-1832.

[10]Mark E J,David R L,Jude H K.Harmonic Analysis of Time-series AVHRR NDVI Data[J].Photogrammetric Engineering and Remote Sensing,2001,4:461-470.

[11]Hird J N,McDermid G J.Noise Reduction of NDVI Time Series:An Empirical Comparison of Selected Techniques[J].Remote Sensing of Environment,2009,113:248-258.

[12]Yves J,José A S.Comparison of Cloud-reconstruction Methods for Time Series of Composite NDVI Data[J].Remote Sensing of Environment,2010,114:618-625.[13]Li Hangyan,Xie Yaowen,Ma Mingguo.Integrated Reconstruction Methods of Time-series NDVI Data Set[J].Remote Sesning Technology and Application,2009,24(5):596-602.[李杭燕,颉耀文,马明国.时序NDVI数据集重建方法评价与实例研究[J].遥感技术与应用,2009,24(5):596-602.]

[14]Song Y,Ma M G,Frank V.Comparison and Conversion of AVHRR GIMMS and SPOT VEGETATION NDVI Data in China[J].International Journal of Remote Sensing,2010,31(9):2377-2392.

[15]Gallo K,Ji L,Reed B,et al.Multi-platform Comparisons of MODIS and AVHRR Normalized Difference Vegetation Index Data[J].Remote Sensing of Environment,2005,99:221-231.

[16]Zhang R H,Tian J,Li Z L,et al.Principles and Methods for the Validation of Quantitative Remote Sensing Products[J].Science China (Earth Sciences),2010,53:741-751.

[17]Warren B C,Christopher O J.Validating MODIS Terrestrial Ecology Products:Linking in Situ and Satellite Measurements[J].Remote Sensing of Environment,1999,70:1-3.

[18]Baret F,Morissette J T,Fernandes R A,et al.Evaluation of the Representativeness of Networks of Sites for the Global Validation and Intercomparison of Land Biophysical Products:Proposition of the CEOS-BELMANIP[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(7):1794-1803.

[19]Morisette J T,Baret F,Privette J L,et al.Validation of Global Moderate-resolution LAI Products:A Framework Proposed Within the CEOS Land Product Validation Subgroup[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(7):1804-1817.

[20]Holben B N,Eck T F,Slutsker I,et al.AERONET - A Federated Instrument Network and Data Archive for Aerosol Characterization[J].Remote Sensing of Environment,1998,66:1-16.

[21]Baldocchi D,Falge E,Gu L H,et al.FLUXNET:A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide,Water Vapor,and Energy Flux Densities[J].Bulletin of the American Meteorological Society,2001,82(11):2415-2434.

[22]Dorigo W A,Wagner W,Hohensinn R,et al.The International Soil Moisture Network:A Data Hosting Facility for Global in Situ Soil Moisture Measurements[J].Hydrology and Earth System Sciences,2011,15:1675-1698.

[23]Song Y,Wang J M,Yang K,et al.A Biophysical based Surface Resistance Model to Estimate Latent Heat Flux Using Remotely Sensed Data[J].International Journal of Applied Earth Observation and Geoinformation,2012,17:76-84.doi:10.1016/j.jag.2011.10.011.

[24]Wang X F,Ma M G,Huang G H,et al.Vegetation Primary Production Estimation at Maize and Alpine Meadow over the Heihe River Basin,China[J].International Journal of Applied Earth Observations and Geoinformation,2012,17:94-101.doi:10.1016/j.jag.2011.09.009.

[25]Yu Wenping,Ma Mingguo.Validation of the MODIS Land Surface Temperature Products——A Case Study of the Heihe River Basin[J].Remote Sensing Technology and Application,2011,26(6):705-712.[于文凭,马明国.MODIS地表温度产品的验证研究——以黑河流域为例[J].遥感技术与应用,2011,26(6):705-712.]

[26]Ma M G,Wang X M,Frank V,et al.Change in Area of the Ebinur Lake during the 1998~2005 Period[J].International Journal of Remote Sensing,2007,28(24):5523-5533.

[27]Zhang X Y,Mark A F,Crystal B S,et al.Monitoring Vegetation Phenology Using MODIS[J].Remote Sensing of Environment,2003,84(3):471-475.

[28]Han H B,Ma M G.Research on Crop Planting Classification based on Multi-Temporal NDVI in the Middle Irrigated Areas of the Heihe River Basin[J].International Journal of Remote Sensing(Under Review).

[29]Roy D P,Ju J,Kline K,et al.Web-enabled Landsat Data (WELD):Landsat ETM+ Composited Mosaics of the Conterminous United States[J].Remote Sensing of Environment,2010,114:35-49.

[30]Gu J,Li X,Huang C L,et al.A Simplified Data Assimilation Method for Reconstructing Time-series MODIS NDVI Data[J].Advances in Space Research,2009,44(4):501-509.

[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] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 李洛晞,沈润平,李鑫慧,郭佳. 基于MODIS时间序列森林扰动监测指数比较研究[J]. 遥感技术与应用, 2016, 31(6): 1083-1090.