• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Xu, H. (Xu, H..) [1] | Zhang, T. (Zhang, T..) [2]

Indexed by:

Scopus

Abstract:

The quantitative relationship between the Normalised difference Vegetation Index (NDVI) data of Landsat and ASTER sensors has not yet been examined though they have been frequently used in medium-scale vegetation observations. To meet this need, this paper investigated the relationship of the NDVI measurements between Landsat-7 ETM+ and ASTER. The study examined how well ASTER sensor vegetation observations replicate ETM+ vegetation observations, and more importantly, the differences between the two sensors in the NDVI-based vegetation observations. Three date-coincident image pairs of the two sensors were used in this comparison study. The digital numbers of the image pairs were converted to at-satellite reflectance. The regression analysis of the scatterplots of ETM+ NDVI versus ASTER NDVI was carried out to reveal their quantitative relationship. The model for the conversion of NDVI data between the two sensors was also obtained by the regression. The results show that there are differences between the NDVI data of the two sensors despite a very strong positive linear relationship between them. The ASTER sensor generally produces lower NDVI measurements than ETM+. © 2011 SPIE.

Keyword:

ASTER; Cross comparison; ETM+; NDVI; Remote sensing

Community:

  • [ 1 ] [Xu, H.]College of Environment and Resources, Fuzhou University, Fuzhou, Fujian 350108, China
  • [ 2 ] [Xu, H.]Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China
  • [ 3 ] [Zhang, T.]College of Environment and Resources, Fuzhou University, Fuzhou, Fujian 350108, China

Reprint 's Address:

  • [Xu, H.]College of Environment and Resources, Fuzhou University, Fuzhou, Fujian 350108, China

Show more details

Related Keywords:

Related Article:

Source :

Proceedings of SPIE - The International Society for Optical Engineering

ISSN: 0277-786X

Year: 2011

Volume: 8203

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:253/10129074
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1