期刊文献+

基于MNDWI水体指数的ASTER与ETM+影像交互比较研究 被引量:10

Cross Comparison of Modified Normalized Difference Water Index(MNDWI) between ASTER and ETM+ Sensor Imagery
下载PDF
导出
摘要 世纪之交以来相继发射的各种新型传感器给遥感领域带来了一个新的热门课题,即多种传感器影像之间的交互比较(Cross Comparison)。通过3对同日过空的ASTER与ETM+影像对,分别基于影像原始DN值、ICM模型反射率和IACM模型反射率数据来对这两种传感器影像的水体指数(MNDWI)进行综合对比,并提供了两种传感器MNDWI指数互为转换的关系方程。结果表明,ASTER与ETM+影像分别基于三类数据(DN、ICM、IACM)计算的MNDWI指数间,均存在很强的线性相关关系,决定系数都大于或接近0.9。精度验证表明,ASTER与ETM+影像MNDWI指数互为转换的关系方程具有很高的精度,其误差RMSE介于0.057-0.073之间;且以基于IACM模型反射率的结果最为稳定、精度最高。因此,推荐使用该模型数据来进行这两种传感器影像MNDWI指数的互为转换。 The successful launches of many new advanced sensors on board remote sensing satellites since the latest 1990s have brought a new remote sensing study field,i.e.,cross comparison between multi-sensor imagery.This paper focuses on the comparison between Landsat-7 ETM+ and ASTER sensor imagery because the cross comparison between the two sensors has not yet been implemented.This comparison was based on the Modified Normalized Difference Water Index(MNDWI),derived from three synchronous image pairs of two sensors,and was carried out using three different data types,which are digital number(DN)-based,illumination correction model (ICM)-based and illumination and atmospheric correction model(IACM)-based data.The regression analysis for the MNDWI images of the two sensors has revealed the interconversion relationship between the MNDWI images of the two sensors,and thus the cross-sensor MNDWI conversion equations for the two sensors.The analysis also indicates that the MNDWI of ASTER imagery has a strong positive correlation with that of ETM+ imagery with R2 values of greater than or close to 0.9.The accuracy verification shows that all the conversion equations have high accuracy with a RMSE ranging from 0.04 to 0.09,and the IACM-based equation has achieved the highest accuracy among the three data types.Therefore,this paper suggests the use of IACM-corrected data for the interconversion of MNDWI between the two sensors.
出处 《宇航学报》 EI CAS CSCD 北大核心 2010年第4期1244-1252,共9页 Journal of Astronautics
基金 福建省自然科学基金(2007J0132) 国家自然科学基金(40371107)
关键词 交互比较 MNDWI水体指数 辐射正规化 ASTER ETM+ 遥感 Cross comparison MNDWI water index Normalization ASTER ETM+ Remote sensing
  • 相关文献

参考文献21

  • 1Teillet P M,Barker,J L,Markham,B L.Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets[J].Remote Sensing of Environment,2001,78:39-54.
  • 2Thome K J,Biggar S F,Wisniewski W.Cross comparison of EO-1 sensors and other earth resources sensors to Landsat-7 ETM+ using Railroad Valley Playa[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(6):1180-1188.
  • 3Goward S N,Davis P E,Fleming D,et al.Empirical comparison of Landsat 7 and IKONOS multispectral measurements for selected Earth Observation System (EOS) validation sites[J].Remote Sensing of Environment,2003,88:80-99.
  • 4Chander G,Meyer D J,Helder D L.Cross calibration of the Landsat-7 ETM+ and EO-1 ALI sensor[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(12):2821-2831.
  • 5van Leeuwen W J D,Orr B J,Marsh S E,et al.Multi-sensor NDVI data continuity:Uncertainties and implications for vegetation monitoring applications[J].Remote Sensing of Environment,2006,100:67-81.
  • 6Miura T,Yoshioka H,Fujiwara K,et al.Inter-comparison of ASTER and MODIS surface reflectance and vegetation index products for synergistic applications to natural resource monitoring[J].Sensors,2008,8:2480-2499.
  • 7刘良明,梁益同,马慧云,黄靖.MODIS和AVHRR植被指数关系的研究[J].武汉大学学报(信息科学版),2004,29(4):307-310. 被引量:59
  • 8张兆明,何国金,王威.基于TM和LISS3数据的地表反射率反演比较研究[J].遥感信息,2006,28(6):55-57. 被引量:3
  • 9徐涵秋.基于影像的Landsat TM/ETM^+数据正规化技术[J].武汉大学学报(信息科学版),2007,32(1):62-66. 被引量:76
  • 10Irish R.Landsat 7 science data users handbook[OL].http://ltpwww.gsfc.nasa.gov/ias/handbook/handbook-toc.html,2009.

二级参考文献61

  • 1吴昀昭,田庆久,金震宇,张宗贵,惠凤鸣.ETM+数据绝对反射率反演方法分析[J].遥感信息,2004,26(2):9-12. 被引量:20
  • 2池宏康,周广胜,许振柱,肖春旺,袁文平.表观反射率及其在植被遥感中的应用[J].植物生态学报,2005,29(1):74-80. 被引量:63
  • 3李炎,商少凌,张彩云,马晓鑫,黄立伟,吴景瑜,曾银东.基于可见光与近红外遥感反射率关系的藻华水体识别模式[J].科学通报,2005,50(22):2555-2561. 被引量:11
  • 4Xu H, Wang X, Xiao G. A remote sensing and GIS integrated study on urbanization with its impact on arable lands: Fuqing city, Fujian province, China [ J ]. Land Degradation & Development, 2000,11(4): 301 -314.
  • 5Gong P, Howarth P J. The use of structural information for improving land-cover classification accuracies at the rural-urban fringe [ J ].Photogrammetric Engineering and Remote Sensing, 1990,56 ( 1 ):67 - 73.
  • 6Ridd M K. Exploring a VIS (vegetation-impervious surface-soil )model for urban ecosystem analysis through remote sensing:comparative anatomy for cities[J]. International Journal of Remote Sensing, 1995,16(12): 2165 -2185.
  • 7Masek J G, Lindsay F E, Coward S N. Dynamics of urban growth in Washington DC metropolitan area, 1973-1996, from Landsat observations [ J ]. International Journal of Remote Sensing, 2000,21 ( 18 ) :3473 - 3486.
  • 8Zha Y, Gao J, Ni S. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery [ J ].International Journal of Remote Sensing, 2003,24( 3 ): 583 - 594.
  • 9Rashed T, Weeks J R, Gadalla M S, et al. Revealing the Anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the Greater Cairo, Egypt [ J ]. Geecarto International, 2001, 16(4) :5 - 16.
  • 10Zhang Q, Wang J, Peng X, et al. Urban built-up land change detection with road density and spectral information from multitemporal Landsat TM data [ J ]. International Journal of Remote Sensing, 2002, 23 ( 15 ): 3057 - 3078.

共引文献1671

同被引文献140

引证文献10

二级引证文献41

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部