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Open AccessArticle

A Bayesian Based Method to Generate a Synergetic Land-Cover Map from Existing Land-Cover Products

1
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
2
University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China
3
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
*
Authors to whom correspondence should be addressed.
Remote Sens. 2014, 6(6), 5589-5613; https://doi.org/10.3390/rs6065589
Received: 27 February 2014 / Revised: 4 June 2014 / Accepted: 10 June 2014 / Published: 16 June 2014
Global land cover is an important parameter of the land surface and has been derived by various researchers based on remote sensing images. Each land cover product has its own disadvantages and limitations. Data fusion technology is becoming a notable method to fully integrate existing land cover information. In this paper, we developed a method to generate a synergetic global land cover map (synGLC) based on Bayes theorem. A state probability vector was defined to precisely and quantitatively describe the land cover classification of every pixel and reduce the errors caused by legends harmonization and spatial resampling. Simple axiomatic approaches were used to generate the prior land cover map, in which pixels with high consistency were regarded to be correct and then used as benchmark to obtain posterior land cover map. Validation results show that our hybrid land cover map (synGLC, the dataset is available on request) has the best overall performance compared with the existing global land cover products. Closed shrub-lands and permanent wetlands have the highest uncertainty in our fused land cover map. This novel method can be extensively applied to fusion of land cover maps with different legends, spatial resolutions or geographic ranges. View Full-Text
Keywords: land cover; Bayes theory; data fusing; IGBP; remote sensing land cover; Bayes theory; data fusing; IGBP; remote sensing
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Xu, G.; Zhang, H.; Chen, B.; Zhang, H.; Yan, J.; Chen, J.; Che, M.; Lin, X.; Dou, X. A Bayesian Based Method to Generate a Synergetic Land-Cover Map from Existing Land-Cover Products. Remote Sens. 2014, 6, 5589-5613.

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