Integrated Use of Existing Global Land Cover Datasets for Producing a New Global Land Cover Dataset with a Higher Accuracy: A Case Study in Eurasia

Naijia  Zhang; Ryutaro  Tateishi

doi:10.4236/ars.2013.24039

Naijia Zhang^*, Ryutaro Tateishi

Abstract: It has been commonly acknowledged that the current global mapping projects have encountered the accuracy challenge. By conducting a comparison among the four existing global land cover datasets (MODIS LC, GLC2000, GLCNMO and GLOBCOVER), it has been identified that certain areas’ accuracy has dragged down the overall accuracy of these global land cover datasets. In this paper, those areas have been defined as the “unreliable area”. This study has recollected the training data from the “unreliable area” within the above four mentioned datasets and reclassified the “unreliable area” by using two supervised classifications. The final result has shown that compared with any existing datasets, a relatively higher accuracy has been able to achieve.

Keywords: Global Land Cover; GLCNMO; Training Data; Accuracy

Cite this paper: N. Zhang and R. Tateishi, "Integrated Use of Existing Global Land Cover Datasets for Producing a New Global Land Cover Dataset with a Higher Accuracy: A Case Study in Eurasia," Advances in Remote Sensing, Vol. 2 No. 4, 2013, pp. 365-372. doi: 10.4236/ars.2013.24039.

References

[1] T. R. Loveland, B. C. Reed, et al., “Development of a Global Land Cover Characteristics Database and IGBP DISCover from 1 km AVHRR Data,” International Journal of Remote Sensing, Vol. 21, No. 6-7, 2000, pp. 1303-1330. http://dx.doi.org/10.1080/014311600210191

[2] M. C. Hansen, R. S. Defries, et al., “Global Land Cover Classification at 1 km Spatial Resolution Using a Classification Tree Approach,” International Journal of Remote Sensing, Vol. 21, No. 6-7, 2000, pp. 1331-1364.
http://dx.doi.org/10.1080/014311600210209

[3] M. A. Friedl, D. K. McIver, et al., “Global Land Cover Mapping from MODIS: Algorithms and Early Results,” Remote Sensing of Environment, Vol. 83, No. 1-2, 2002, pp. 287-302.
http://dx.doi.org/10.1016/S0034-4257(02)00078-0

[4] E. Bartholomé and A. S. Belward, “GLC2000: A New Approach to Global Land Cover Mapping from Earth Observation Data,” International Journal of Remote Sensing, Vol. 26, No. 9, 2005, pp. 1959-1977.
http://dx.doi.org/10.1080/01431160412331291297

[5] O. Arino, D. Gross, F. Ranera, L. Bourg, M. Leroy, P. Bicheron, et al., “GlobCover: ESA Service for Global Land Cover from MERIS,” Proceedings of the International Geoscience and Remote Sensing Symposium, Barcelona, 23-28 July 2007.

[6] R. Tateishi, B. Uriyangqai, H. Al-Bilbisi, M. A. Ghar, J. Tsend-Ayush, T. Kobayashi, A. Kasimu, H. N. Thanh, A. Shalaby, B. Alsaaideh, T. Enkhzaya, G. Tana and H. P. Sato, “Production of Global Land Cover, GLCNMO,” International Journal of Digital Earth, Vol. 4, No. 1, 2011, pp. 22-49.

[7] S. Bassi and M. Kettunen, “Forest Fires: Causes and Contributing Factors in Europe,” European Parliament Office, Belgium, 2008, 49p.

[8] I. McCallum, M. Obersteiner, S. Nilsson and A. Shvidenko, “A Spatial Comparison of Four Satellite Derived 1 km Global Land Cover Datasets,” International Journal of Applied Earth Observation and Geoinformation, Vol. 8, No. 4, 2006, pp. 246-255.
http://dx.doi.org/10.1016/j.jag.2005.12.002

[9] M. Herold, P. Mayaux, C. E. Woodcock, A. Baccini and C. Schmullius, “Some Challenges in Global Land Cover Mapping: An Assessment of Agreement and Accuracy in Existing 1 km Datasets,” Remote Sensing of Environment, Vol. 112, No. 5, 2008, pp. 2538-2556.
http://dx.doi.org/10.1016/j.rse.2007.11.013

[10] C. Giri, Z. L. Zhu and B. Reed, “A Comparative Analysis of the Global Land Cover 2000 and MODIS Land Cover Data Sets,” Remote Sensing of Environment, Vol. 94, No. 1, 2005, pp. 123-132.
http://dx.doi.org/10.1016/j.rse.2004.09.005

[11] A. Di Gregorio, “Land Cover Classification System (LCCS): Classification Concepts and User Manual,” Food and Agriculture Organization of the United Nations, Rome, 2000.

[12] M. Herold, R. Hubald and A. Di Gregororio, “Translating and Evaluating Land Cover Legends Using the UN Land Cover Classification System (LCCS),” GOFC-GOLD Report No. 432009, Land Cover Project Office, Jena, 2009.

[13] “Global Map Version 1.3 Specifications,” Revised at 14th ISCGM Meeting, Cambridge, 14 July 2007.

[14] L. M. See and S. Fritz, “A Method to Compare and Improve Land Cover Datasets: Application to the GLC-2000 and MODIS Land Cover Products,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 7, 2006, pp. 1740-1746.

[15] M. C. Hansen, “A Comparison of the IGBP DISCover and University of Maryland 1 km Global Land Cover Products,” International Journal of Remote Sensing, Vol. 21, No. 6-7, 2000, pp. 1365-1373.

[16] M. Herold, C. E. Woodcock, A. Di Gregorio, P. Mayaux, A. S. Belward, J. Latham and C. C. Schmullius, “A Joint Initiative for Harmonization and Validation of Land Cover Datasets,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 7, 2006, pp. 1719-1727.

[17] P. Mayaux, H. Eva, J. Gallego, A. H. Strahler, M. Herold, S. Agrawal, S. Naumov, E. E. De Miranda, C. M. Di Bella, C. Ordoyne, Y. Kopin and P. S. Roy, “Validation of the Global Land Cover 2000 Map,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 7, 2006, 1728-1739.