By Topic

A consistency analysis of MODIS MCD12Q1 and MERIS Globcover land cover datasets over China

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yaqian He ; State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China ; Yanchen Bo

Global land cover data plays an important role on the global change research. At present, there are a variety of global land cover datasets. Those datasets are based on different classification systems and employ different methodologies. The inconsistencies may be a problem for studies of global change. This study analyzes the consistency of MCD12Q1 and Globcover datasets using type area consistency and spatial consistency at a national level and regional level. The results show that at the national level, the correlation coefficient of the type area totals of the two datasets is 82.98% and Kappa coefficient is 27.21%. Correlation coefficient of the type area totals of the two datasets at Northeast region, North China, Southwest region, Northwest region, Central and Southeast region and Qinghai-Tibet Plateau are 43.84%, 69.30%, 18.53%, 92.98%, 42.40%, 91.10%, respectively and Kappa coefficient are 7.41%, 20.45%, 6.33%, 32.63%, 16.37%, 26.15%, respectively.

Published in:

Geoinformatics, 2011 19th International Conference on

Date of Conference:

24-26 June 2011